16.7.2.7.13 Traffic Collisions, Accidents, Analysis, Congestion, Not Image Analysis

Al Mallah, R., Quintero, A., Farooq, B.,
Distributed Classification of Urban Congestion Using VANET,
ITS(18), No. 9, September 2017, pp. 2435-2442.
IEEE DOI 1709
traffic engineering computing, heterogeneous urban road network, real-time distributed classification, Feature extraction, Meteorology, Monitoring, Trajectory, Event classification, BibRef

Ahmad, A.[Asif], Arshad, R.[Rabia], Mahmud, S.A.[Sahibzada Ali], Ahmad, G.M.K.[Gul Muhammad KhanFawad], Mahmud, S.A.[Sahibzada Ali], Yousaf, F.Z.[Faqir Zarrar],
Shortest Processing Time Scheduling to Reduce Traffic Congestion in Dense Urban Areas,
SMCS(47), No. 5, May 2017, pp. 838-855.
IEEE DOI 1704
Algorithm design and analysis BibRef

Lopez-Garcia, P., Onieva, E., Osaba, E., Masegosa, A.D., Perallos, A.,
A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy,
ITS(17), No. 2, February 2016, pp. 557-569.
IEEE DOI 1602
Artificial neural networks BibRef

van Westrenen, F., Ellerbroek, J.,
The Effect of Traffic Complexity on the Development of Near Misses on the North Sea,
SMCS(47), No. 3, March 2017, pp. 432-440.
IEEE DOI 1703
Accidents BibRef

Ma, X., Ding, C., Luan, S., Wang, Y., Wang, Y.,
Prioritizing Influential Factors for Freeway Incident Clearance Time Prediction Using the Gradient Boosting Decision Trees Method,
ITS(18), No. 9, September 2017, pp. 2303-2310.
IEEE DOI 1709
decision trees, road accidents, BibRef

Wang, Q.[Qi], Wan, J.[Jia], Yuan, Y.[Yuan],
Locality constraint distance metric learning for traffic congestion detection,
PR(75), No. 1, 2018, pp. 272-281.
Elsevier DOI 1712
Distance metric learning BibRef

Ou, J.[Jishun], Yang, S.[Shu], Wu, Y.J.[Yao-Jan], An, C.C.[Cheng-Chuan], Xia, J.X.[Jing-Xin],
Systematic clustering method to identify and characterise spatiotemporal congestion on freeway corridors,
IET-ITS(12), No. 8, October 2018, pp. 826-837.
DOI Link 1809
BibRef

Chen, M., Yu, X., Liu, Y.,
PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction,
ITS(19), No. 11, November 2018, pp. 3550-3559.
IEEE DOI 1812
convolution, feedforward neural nets, learning (artificial intelligence), road traffic, time series, convolutional neural network BibRef

Lu, L.[Lili], Wang, J.[Jian], He, Z.B.[Zheng-Bing], Chan, C.Y.[Ching-Yao],
Real-time estimation of freeway travel time with recurrent congestion based on sparse detector data,
IET-ITS(12), No. 1, February 2018, pp. 2-11.
DOI Link 1801
BibRef

Galatioto, F.[Fabio], Catalano, M.[Mario], Shaikh, N.[Nabeel], McCormick, E.[Ecaterina], Johnston, R.[Ryan],
Advanced accident prediction models and impacts assessment,
IET-ITS(12), No. 9, November 2018, pp. 1131-1141.
DOI Link 1810
BibRef

Attal, F., Boubezoul, A., Samé, A., Oukhellou, L., Espié, S.,
Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches,
ITS(19), No. 12, December 2018, pp. 4011-4022.
IEEE DOI 1812
Roads, Accidents, Sensors, Safety, Event detection, Angular velocity, Acceleration, Powered two-wheelers, data mining approaches BibRef

Singh, D., Mohan, C.K.,
Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder,
ITS(20), No. 3, March 2019, pp. 879-887.
IEEE DOI 1903
Accidents, Videos, Trajectory, Feature extraction, Target tracking, Urban areas, Accident detection, anomaly detection, deep learning, stacked autoencoder BibRef

Yu, Y.L.[Yuan-Long], Xu, M.X.[Miao-Xing], Gu, J.[Jason],
Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme learning machine,
IET-ITS(13), No. 9, September 2019, pp. 1417-1428.
DOI Link 1908
BibRef

Ke, X., Shi, L., Guo, W., Chen, D.,
Multi-Dimensional Traffic Congestion Detection Based on Fusion of Visual Features and Convolutional Neural Network,
ITS(20), No. 6, June 2019, pp. 2157-2170.
IEEE DOI 1906
Roads, Feature extraction, Videos, Visualization, Cameras, Surveillance, Traffic congestion detection, optical flow BibRef

Yu, Q.Y.[Qing-Ying], Luo, Y.L.[Yong-Long], Chen, C.M.[Chuan-Ming], Zheng, X.Y.[Xiao-Yao],
Road Congestion Detection Based on Trajectory Stay-Place Clustering,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Naboureh, A.[Amin], Feizizadeh, B.[Bakhtiar], Naboureh, A.[Abbas], Bian, J.H.[Jin-Hu], Blaschke, T.[Thomas], Ghorbanzadeh, O.[Omid], Moharrami, M.[Meisam],
Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Zhou, H.C.[Hua-Chun], Zhou, S.[Sheng],
Scene categorization towards urban tunnel traffic by image quality assessment,
JVCIR(65), 2019, pp. 102655.
Elsevier DOI 1912
Scene categorization, Tunnel traffic analysis, Information entropy, Rough clustering, Image quality model BibRef

Ghosh, B., Asif, M.T., Dauwels, J., Fastenrath, U., Guo, H.,
Dynamic Prediction of the Incident Duration Using Adaptive Feature Set,
ITS(20), No. 11, November 2019, pp. 4019-4031.
IEEE DOI 1911
Predictive models, Accidents, Adaptation models, Data models, Analytical models, Neural networks, Forecasting, sequential prediction BibRef

Al Mallah, R., Quintero, A., Farooq, B.,
Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles,
ITS(21), No. 1, January 2020, pp. 59-67.
IEEE DOI 2001
Roads, Data mining, Uncertainty, Monitoring, Fuses, Connected vehicles, Vehicular ad hoc networks, Cooperation, data mining, connected vehicle BibRef

Han, Y., Ahn, S.,
Variable Speed Release (VSR): Speed Control to Increase Bottleneck Capacity,
ITS(21), No. 1, January 2020, pp. 298-307.
IEEE DOI 2001
Electric breakdown, Time factors, Merging, Stochastic processes, Vehicles, Delays, Mathematical model, variable speed release (VSR) BibRef

Panagopoulos, G., Pavlidis, I.,
Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk,
ITS(21), No. 2, February 2020, pp. 841-851.
IEEE DOI 2002
Vehicles, Stress, Monitoring, Bayes methods, Accidents, Boosting, Physiology, Affective computing, distracted driving, thermal imaging BibRef

Gu, Y.Y.[Yan-Yan], Wang, Y.D.[Yan-Dong], Dong, S.H.[Shi-Hai],
Public Traffic Congestion Estimation Using an Artificial Neural Network,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Gillis, D.[Dominique], Gautama, S.[Sidharta], van Gheluwe, C.[Casper], Semanjski, I.[Ivana], Lopez, A.J.[Angel J.], Lauwers, D.[Dirk],
Measuring Delays for Bicycles at Signalized Intersections Using Smartphone GPS Tracking Data,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Tang, J.Q.[Jun-Qing], Wan, L.[Li], Nochta, T.[Timea], Schooling, J.[Jennifer], Yang, T.R.[Tian-Ren],
Exploring Resilient Observability in Traffic-Monitoring Sensor Networks: A Study of Spatial-Temporal Vehicle Patterns,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Liu, Z.Y.[Zhi-Yong], Li, R.M.[Rui-Min],
Will the vehicle restriction policy maintain a long-term deterrent effect?,
IET-ITS(14), No. 6, June 2020, pp. 562-569.
DOI Link 2005
BibRef

Luo, J., Huang, Y., Weng, Y.,
Design of Variable Traffic Light Control Systems for Preventing Two-Way Grid Network Traffic Jams Using Timed Petri Nets,
ITS(21), No. 7, July 2020, pp. 3117-3127.
IEEE DOI 2007
Accidents, Control systems, Transportation, Petri nets, Safety, Analytical models, Cell transmission model (CTM), traffic jam, traffic safety BibRef

Park, S., Seonwoo, Y., Kim, J., Kim, J., Oh, A.,
Denoising Recurrent Neural Networks for Classifying Crash-Related Events,
ITS(21), No. 7, July 2020, pp. 2906-2917.
IEEE DOI 2007
Data models, Noise reduction, Accidents, Videos, Recurrent neural networks, Task analysis, driving events BibRef

Fukuda, S.[Shota], Uchida, H.[Hideaki], Fujii, H.[Hideki], Yamada, T.[Tomonori],
Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation,
IET-ITS(14), No. 8, August 2020, pp. 936-946.
DOI Link 2007
BibRef

Yan, F., Zhang, S., Majumdar, A., Tang, T., Ma, J.,
A Failure Mapping and Genealogical Research on Metro Operational Incidents,
ITS(21), No. 8, August 2020, pp. 3551-3560.
IEEE DOI 2008
Accidents, Safety, Resilience, Analytical models, Rail transportation, Urban areas, Data analysis, Metro operation, incident analysis BibRef

Qi, X.Z.[Xin-Zhou], Sun, T.[Tuo], Ma, W.J.[Wan-Jing], Wang, L.[Ling], Yu, C.H.[Chun-Hui],
Evaluation of a variable speed limit system using a hierarchical framework under a connected vehicles environment: a case study of a field test in Seattle,
IET-ITS(14), No. 9, September 2020, pp. 1125-1131.
DOI Link 2008
BibRef

Orsini, F.[Federico], Gecchele, G.[Gregorio], Gastaldi, M.[Massimiliano], Rossi, R.[Riccardo],
Large-scale road safety evaluation using extreme value theory,
IET-ITS(14), No. 9, September 2020, pp. 1004-1012.
DOI Link 2008
BibRef

Colombaroni, C.[Chiara], Fusco, G.[Gaetano], Isaenko, N.[Natalia],
Coherence analysis of road safe speed and driving behaviour from floating car data,
IET-ITS(14), No. 9, September 2020, pp. 985-992.
DOI Link 2008
BibRef

Han, F.[Fei], Zhang, S.[Su],
Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Sun, J., Qi, X., Xu, Y., Tian, Y.,
Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning,
ITS(21), No. 9, September 2020, pp. 3674-3685.
IEEE DOI 2008
Turning, Feature extraction, Hidden Markov models, Deep learning, Planning, Convolution, Vehicle, turning behavior, mixed-flow intersections BibRef

Rahman, M.T.[Muhammad Tauhidur], Jamal, A.[Arshad], Al-Ahmadi, H.M.[Hassan M.],
Examining Hotspots of Traffic Collisions and their Spatial Relationships with Land Use: A GIS-Based Geographically Weighted Regression Approach for Dammam, Saudi Arabia,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Hadjidimitriou, N.S., Lippi, M., Dell'Amico, M., Skiera, A.,
Machine Learning for Severity Classification of Accidents Involving Powered Two Wheelers,
ITS(21), No. 10, October 2020, pp. 4308-4317.
IEEE DOI 2010
Accidents, Neural networks, Machine learning, Machine learning algorithms, Support vector machines, emergency call BibRef

Catalano, M.[Mario], Galatioto, F.[Fabio], Shaikh, N.[Nabeel],
Accident-related cost analysis and decision-making support through econometric modelling,
IET-ITS(14), No. 12, December 2020, pp. 1573-1581.
DOI Link 2011
BibRef

Wang, H., Fang, Y.P., Zio, E.,
Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State,
ITS(22), No. 1, January 2021, pp. 142-155.
IEEE DOI 2012
Load modeling, Computational modeling, Electric vehicle charging, Power system stability, Mathematical model, transportation system BibRef

Papageorgiou, M., Mountakis, K.S., Karafyllis, I., Papamichail, I., Wang, Y.,
Lane-Free Artificial-Fluid Concept for Vehicular Traffic,
PIEEE(109), No. 2, February 2021, pp. 114-121.
IEEE DOI 2101
Road traffic, Traffic congestion, Urban areas, Safety, Pollution, Public infrastructure, Fuels, Economics BibRef

Ghadami, A., Epureanu, B.I.,
Forecasting the Onset of Traffic Congestions on Circular Roads,
ITS(22), No. 2, February 2021, pp. 1196-1205.
IEEE DOI 2102
Bifurcation, Forecasting, Vehicle dynamics, Automobiles, Perturbation methods, Predictive models, Roads, stop-and-go traffic BibRef

Pu, Z., Li, Z., Jiang, Y., Wang, Y.,
Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System,
ITS(22), No. 2, February 2021, pp. 964-976.
IEEE DOI 2102
Accidents, Safety, Computer crashes, Detectors, Traffic control, Road transportation, Variable speed limit, safety effect, speed effect BibRef

Rämä, P.[Pirkko], Innamaa, S.[Satu],
Safety assessment of local cooperative warnings and speed limit information,
IET-ITS(14), No. 13, 15 December 2020, pp. 1769-1777.
DOI Link 2102
BibRef

Babu, C.N.[C. Narendra], Sure, P., Bhuma, C.M.,
Sparse Bayesian Learning Assisted Approaches for Road Network Traffic State Estimation,
ITS(22), No. 3, March 2021, pp. 1733-1741.
IEEE DOI 2103
Roads, State estimation, Sparse matrices, Kernel, Probes, Sensors, Relevance vector machine, sparse Bayesian learning, traffic state estimation BibRef

Parsola, J.[Jyoti], Gangodkar, D.[Durgaprasad], Mittal, A.[Ankush],
Automated system for road extraction and traffic volume estimation for traffic jam detection,
IJCVR(11), No. 2, 2021, pp. 127-150.
DOI Link 2103
BibRef

Li, T.[Tao], Ni, A.[Anning], Zhang, C.Q.[Chun-Qin], Xiao, G.N.[Guang-Nian], Gao, L.J.[Lin-Jie],
Short-term traffic congestion prediction with Conv-BiLSTM considering spatio-temporal features,
IET-ITS(14), No. 14, 27 December 2020, pp. 1978-1986.
DOI Link 2103
BibRef

Tempelmeier, N.[Nicolas], Feuerhake, U.[Udo], Wage, O.[Oskar], Demidova, E.[Elena],
Mining Topological Dependencies of Recurrent Congestion in Road Networks,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Wang, C.[Ce], Li, S.[Shuo], Shan, J.[Jie],
Non-Stationary Modeling of Microlevel Road-Curve Crash Frequency with Geographically Weighted Regression,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Gao, H.[Hong], Yan, Z.J.[Zhen-Jun], Hu, X.[Xu], Yu, Z.Y.[Zhao-Yuan], Luo, W.[Wen], Yuan, L.W.[Lin-Wang], Zhang, J.[Jiyi],
A Method for Exploring and Analyzing Spatiotemporal Patterns of Traffic Congestion in Expressway Networks Based on Origin-Destination Data,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Peng, L.Q.[Li-Qun], Wang, Y.T.[Yi-Ting], Zhang, F.[Fan], Zhang, J.S.[Ji-Sheng], Li, Z.X.[Zhi-Xiong],
Evaluation of emergency driving behaviour and vehicle collision risk in connected vehicle environment: A deep learning approach,
IET-ITS(15), No. 4, 2021, pp. 584-594.
DOI Link 2106
BibRef

Li, H.T.[Hai-Tao], Bai, Q.[Qiaowen], Zhao, Y.H.[Yong-Hua], Qu, Z.W.[Zhao-Wei], Xin, W.[Wang],
TSDCN: Traffic safety state deep clustering network for real-time traffic crash-prediction,
IET-ITS(15), No. 1, 2021, pp. 132-146.
DOI Link 2106
BibRef

Hale, D.[David], Chrysikopoulos, G.[Georgios], Kondyli, A.[Alexandra], Ghiasi, A.[Amir],
Evaluation of data-driven performance measures for comparing and ranking traffic bottlenecks,
IET-ITS(15), No. 4, 2021, pp. 504-513.
DOI Link 2106
BibRef

Hassija, V.[Vikas], Gupta, V.[Vatsal], Garg, S.[Sahil], Chamola, V.[Vinay],
Traffic Jam Probability Estimation Based on Blockchain and Deep Neural Networks,
ITS(22), No. 7, July 2021, pp. 3919-3928.
IEEE DOI 2107
Crowdsourcing, Blockchain, Estimation, Predictive models, Neural networks, Roads, Deep learning, blockchain BibRef

Ashraf, J.[Javed], Bakhshi, A.D.[Asim D.], Moustafa, N.[Nour], Khurshid, H.[Hasnat], Javed, A.[Abdullah], Beheshti, A.[Amin],
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems,
ITS(22), No. 7, July 2021, pp. 4507-4518.
IEEE DOI 2107
Computer crime, Training, Autonomous vehicles, Intrusion detection, autoencoder BibRef

Li, Q.P.[Qiu-Ping], Luo, H.W.[Hao-Wen], Luan, X.C.[Xue-Chen],
Multistage Impacts of the Heavy Rain Process on the Travel Speeds of Urban Roads,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Gatto, R.C.[Rubens Cruz], Forster, C.H.Q.[Carlos Henrique Quartucci],
Audio-Based Machine Learning Model for Traffic Congestion Detection,
ITS(22), No. 11, November 2021, pp. 7200-7207.
IEEE DOI 2112
Roads, Urban areas, Machine learning, Monitoring, Training, Global Positioning System, Mel frequency cepstral coefficient, audio signal processing BibRef

Khattak, Z.H.[Zulqarnain H.], Fontaine, M.D.[Michael D.], Smith, B.L.[Brian L.],
Exploratory Investigation of Disengagements and Crashes in Autonomous Vehicles Under Mixed Traffic: An Endogenous Switching Regime Framework,
ITS(22), No. 12, December 2021, pp. 7485-7495.
IEEE DOI 2112
Vehicle crash testing, Computer crashes, Vehicles, Safety, Roads, Testing, Google, Autonomous vehicles, disengagements, software and sensor failure BibRef

Zhou, J.Z.[Jia-Zhen], Jin, L.[Li], Wang, X.[Xiao], Sun, D.[Dengfeng],
Resilient UAV Traffic Congestion Control Using Fluid Queuing Models,
ITS(22), No. 12, December 2021, pp. 7561-7572.
IEEE DOI 2112
Meteorology, Uncertainty, Atmospheric modeling, Stability analysis, Markov processes, Mathematical model, Numerical stability, piecewise-deterministic Markov process BibRef

Deng, Z.P.[Zhen-Ping], Huang, D.R.[Da-Rong], Liu, J.Y.[Jin-Yu], Mi, B.[Bo], Liu, Y.[Yang],
An Assessment Method for Traffic State Vulnerability Based on a Cloud Model for Urban Road Network Traffic Systems,
ITS(22), No. 11, November 2021, pp. 7155-7168.
IEEE DOI 2112
Roads, Indexes, Complex networks, Delays, Reliability, Analytical models, Uncertainty, Complex network, state vulnerability BibRef

Wang, X.D.[Xu-Dong], Sun, L.J.[Li-Jun],
Diagnosing Spatiotemporal Traffic Anomalies with Low-Rank Tensor Autoregression,
ITS(22), No. 12, December 2021, pp. 7904-7913.
IEEE DOI 2112
Spatiotemporal phenomena, Tensors, Data models, Time series analysis, Anomaly detection, Transportation, tensor learning BibRef

Hu, C.C.[Chun-Chun], Chen, S.[Si],
Massively Parallel Discovery of Loosely Moving Congestion Patterns from Trajectory Data,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Qu, X.Y.[Xin-Yu], Zhu, X.Y.[Xin-Yan], Xiao, X.W.[Xiong-Wu], Wu, H.Y.[Hua-Yi], Guo, B.X.[Bing-Xuan], Li, D.R.[De-Ren],
Exploring the Influences of Point-of-Interest on Traffic Crashes during Weekdays and Weekends via Multi-Scale Geographically Weighted Regression,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Luan, S.[Sen], Ma, X.L.[Xiao-Lei], Li, M.[Meng], Su, Y.L.[Yue-Long], Dong, Z.N.[Zhen-Ning],
Detecting and interpreting non-recurrent congestion from traffic and social media data,
IET-ITS(15), No. 12, 2021, pp. 1461-1477.
DOI Link 2112
BibRef

Yue, W.W.[Wen-Wei], Li, C.L.[Chang-Le], Wang, S.B.[Shang-Bo], Xu, Z.G.[Zhi-Gang], Mao, G.Q.[Guo-Qiang],
Towards Enhanced Recovery and System Stability: Analytical Solutions for Dynamic Incident Effects in Road Networks,
ITS(23), No. 1, January 2022, pp. 483-498.
IEEE DOI 2201
Roads, Stability analysis, Numerical stability, Delays, Real-time systems, Switches, Mathematical model, system stability BibRef

Li, S.[Shen], Cheng, Y.[Yang], Jin, P.[Peter], Ding, F.[Fan], Li, Q.[Qing], Ran, B.[Bin],
A Feature-Based Approach to Large-Scale Freeway Congestion Detection Using Full Cellular Activity Data,
ITS(23), No. 2, February 2022, pp. 1323-1331.
IEEE DOI 2202
Poles and towers, Traffic control, Roads, Probes, Feature extraction, Calibration, Real-time systems, Cellular probe, freeway congestion detection BibRef

Zheng, Z.W.[Zeng-Wei], Zhou, M.X.[Ming-Xuan], Chen, Y.[Yuanyi], Huo, M.M.[Mei-Mei], Sun, L.[Lin], Zhao, S.[Sha], Chen, D.[Dan],
A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection,
ITS(23), No. 2, February 2022, pp. 827-839.
IEEE DOI 2202
Roads, Acceleration, Feature extraction, Data models, Machine learning, Vehicle dynamics, Data mining, machine learning BibRef

Lyu, N.C.[Neng-Chao], Wen, J.Q.[Jia-Qiang], Duan, Z.C.[Zhi-Cheng], Wu, C.Z.[Chao-Zhong],
Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment,
ITS(23), No. 2, February 2022, pp. 966-981.
IEEE DOI 2202
Vehicles, Safety, Predictive models, Trajectory, Accidents, Alarm systems, Vehicle dynamics, long-term and short-term memory networks BibRef

Liyanage, Y.W.[Yasitha Warahena], Zois, D.S.[Daphney-Stavroula], Chelmis, C.[Charalampos],
Near Real-Time Freeway Accident Detection,
ITS(23), No. 2, February 2022, pp. 1467-1478.
IEEE DOI 2202
Accidents, Traffic control, Delays, Computational modeling, Sensor phenomena and characterization, Feature extraction, sensor decisions aggregation BibRef

Wang, Y.W.[Yi-Wen], He, Z.[Zhi], Hu, J.[Jie],
Traffic Information Mining From Social Media Based on the MC-LSTM-Conv Model,
ITS(23), No. 2, February 2022, pp. 1132-1144.
IEEE DOI 2202
Social network services, Feature extraction, Roads, Data mining, Machine learning, Dictionaries, Monitoring, Sina Weibo, traffic jam BibRef

Yamamoto, S.[Shuhei], Kurashima, T.[Takeshi], Toda, H.[Hiroyuki],
Classifying Near-Miss Traffic Incidents through Video, Sensor, and Object Features,
IEICE(E105-D), No. 2, February 2022, pp. 377-386.
WWW Link. 2202
BibRef

Riaz, W.[Waqar], Chen-Qiang, G.[Gao], Azeem, A.[Abdullah], Saifullah, Bux, J.A.[Jamshaid Allah], Ullah, A.[Asif],
Traffic Anomaly Prediction System Using Predictive Network,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef
And: Correction: RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Mesquitela, J.[Joao], Elvas, L.B.[Luis B.], Ferreira, J.C.[Joao C.], Nunes, L.[Luis],
Data Analytics Process over Road Accidents Data: A Case Study of Lisbon City,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Lin, D.J.[Da-Jie], Chen, M.Y.[Mu-Yen], Chiang, H.S.[Hsiu-Sen], Sharma, P.K.[Pradip Kumar],
Intelligent Traffic Accident Prediction Model for Internet of Vehicles With Deep Learning Approach,
ITS(23), No. 3, March 2022, pp. 2340-2349.
IEEE DOI 2203
Accidents, Predictive models, Support vector machines, Bayes methods, Logistics, Roads, Neural networks, deep learning BibRef

Zhang, J.M.[Jia-Ming], Yang, K.L.[Kai-Lun], Stiefelhagen, R.[Rainer],
Exploring Event-Driven Dynamic Context for Accident Scene Segmentation,
ITS(23), No. 3, March 2022, pp. 2606-2622.
IEEE DOI 2203
Accidents, Semantics, Image segmentation, Sensors, Motion segmentation, Object segmentation, Task analysis, intelligent vehicles BibRef

Jiang, S.[Shan], Jafari, M.[Mohsen], Kharbeche, M.[Mohamed], Jalayer, M.[Mohammad], Al-Khalifa, K.N.[Khalifa N.],
Safe Route Mapping of Roadways Using Multiple Sourced Data,
ITS(23), No. 4, April 2022, pp. 3169-3179.
IEEE DOI 2204
Accidents, Safety, Data models, Nickel, Vehicles, Computer crashes, Heating systems, Traffic safety, traffic conflict analysis, dynamic risk heat mapping BibRef

Ju, U.[Uijong], Chuang, L.L.[Lewis L.], Wallraven, C.[Christian],
Acoustic Cues Increase Situational Awareness in Accident Situations: A VR Car-Driving Study,
ITS(23), No. 4, April 2022, pp. 3281-3291.
IEEE DOI 2204
Accidents, Automobiles, Visualization, Vehicles, Alarm systems, Training, Roads, Decision-making, virtual reality, auditory warning, situational awareness BibRef

Hazaymeh, K.[Khaled], Almagbile, A.[Ali], Alomari, A.H.[Ahmad H.],
Spatiotemporal Analysis of Traffic Accidents Hotspots Based on Geospatial Techniques,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Boujemaa, K.S.[Kaoutar Sefrioui], Berrada, I.[Ismail], Fardousse, K.[Khalid], Naggar, O.[Othmane], Bourzeix, F.[François],
Toward Road Safety Recommender Systems: Formal Concepts and Technical Basics,
ITS(23), No. 6, June 2022, pp. 5211-5230.
IEEE DOI 2206
Accidents, Road safety, Predictive models, Task analysis, Safety, Prediction algorithms, Data models, Traffic accident analysis, road safety countermeasures BibRef

Nguyen, T.T.[Tin T.], Calvert, S.C.[Simeon C.], Vu, H.L.[Hai L.], van Lint, H.[Hans],
An Automated Detection Framework for Multiple Highway Bottleneck Activations,
ITS(23), No. 6, June 2022, pp. 5678-5692.
IEEE DOI 2206
Roads, Detectors, Tin, Topology, Time series analysis, Smoothing methods, Network topology, Highway bottleneck, logistic function BibRef

Gao, Y.F.[Yun-Feng], Hu, H.[Hua], Liu, Y.[Yue],
Coordinated Arterial Dilemma Zone Protection Through Dynamic Signal Timing Optimization,
ITS(23), No. 6, June 2022, pp. 5434-5445.
IEEE DOI 2206
Safety, Vehicle dynamics, Accidents, Delays, Optimization methods, Roads, Green products, Arterial street, weighted combination BibRef

Zhu, S.X.[Shi-Xiang], Ding, R.[Ruyi], Zhang, M.[Minghe], van Hentenryck, P.[Pascal], Xie, Y.[Yao],
Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling,
ITS(23), No. 7, July 2022, pp. 7298-7309.
IEEE DOI 2207
Sensors, Road transportation, Law enforcement, Roads, Data models, Predictive models, Emergency services, Traffic congestion, point process BibRef

Karim, M.M.[Muhammad Monjurul], Li, Y.[Yu], Qin, R.[Ruwen], Yin, Z.Z.[Zhao-Zheng],
A Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents,
ITS(23), No. 7, July 2022, pp. 9590-9600.
IEEE DOI 2207
Accidents, Feature extraction, Vehicle dynamics, Training, Logic gates, Autonomous vehicles, Predictive models, human-inspired AI BibRef

Fang, J.[Jianwu], Qiao, J.H.[Jia-Huan], Bai, J.[Jie], Yu, H.K.[Hong-Kai], Xue, J.R.[Jian-Ru],
Traffic Accident Detection via Self-Supervised Consistency Learning in Driving Scenarios,
ITS(23), No. 7, July 2022, pp. 9601-9614.
IEEE DOI 2207
Accidents, Trajectory, Anomaly detection, Roads, Multitasking, Collaboration, Visualization, Traffic accident detection, adversarial learning BibRef

Robinson, P.[Pamela], Sun, L.[Landy], Furey, H.[Heidi], Jenkins, R.[Ryan], Phillips, C.R.M.[Christopher R. M.], Powers, T.M.[Thomas M.], Ritterson, R.S.[Ryan S.], Xie, Y.C.[Yuan-Chang], Casagrande, R.[Rocco], Evans, N.G.[Nicholas G.],
Modelling Ethical Algorithms in Autonomous Vehicles Using Crash Data,
ITS(23), No. 7, July 2022, pp. 7775-7784.
IEEE DOI 2207
Accidents, Automobiles, Ethics, Vehicles, Data models, Injuries, Safety, Autonomous vehicles, ethics, crash data, safety BibRef

El Mallahi, I.[Imad], Dlia, A.[Asmae], Riffi, J.[Jamal], Mahraz, M.A.[Mohamed Adnane], Tairi, H.[Hamid],
Prediction of Traffic Accidents using Random Forest Model,
ISCV22(1-7)
IEEE DOI 2208
Support vector machines, Road accidents, Urban areas, Artificial neural networks, Prediction algorithms, convolutional neural network BibRef

Ghadami, A.[Amin], Doering, C.R.[Charles R.], Drake, J.M.[John M.], Rohani, P.[Pejman], Epureanu, B.I.[Bogdan I.],
Stability and Resilience of Transportation Systems: Is a Traffic Jam About to Occur?,
ITS(23), No. 8, August 2022, pp. 10803-10814.
IEEE DOI 2208
Resilience, Mathematical model, Vehicle dynamics, Roads, Transportation, Numerical models, Numerical stability, complex system BibRef

Santhosh, K.K.[Kelathodi Kumaran], Dogra, D.P.[Debi Prosad], Roy, P.P.[Partha Pratim], Mitra, A.[Adway],
Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture,
ITS(23), No. 8, August 2022, pp. 11891-11902.
IEEE DOI 2208
Trajectory, Image color analysis, Videos, Anomaly detection, Convolutional neural networks, Feature extraction, Training data, traffic anomaly detection BibRef

Liu, C.S.[Chun-Sheng], Li, Z.J.[Zi-Jian], Chang, F.[Faliang], Li, S.[Shuang], Xie, J.[Jincan],
Temporal Shift and Spatial Attention-Based Two-Stream Network for Traffic Risk Assessment,
ITS(23), No. 8, August 2022, pp. 12518-12530.
IEEE DOI 2208
Videos, Risk management, Feature extraction, Complexity theory, Accidents, Cameras, Vehicles, Traffic risk assessment, spatial and channel attention mechanism BibRef

Zhou, Y.M.[Yao-Ming], Li, S.P.[Si-Ping], Wang, J.W.[Jun-Wei],
Modeling Stochastic Behavior of Road Networks With Disruptions Using Percolation Theory,
ITS(23), No. 8, August 2022, pp. 13230-13241.
IEEE DOI 2208
Roads, Stochastic processes, Measurement, Transportation, Size measurement, Optimization, Analytical models, Connectivity, performance evaluation BibRef

Sun, Y.[Yidan], Jiang, G.Y.[Gui-Yuan], Lam, S.K.[Siew-Kei], He, P.[Peilan],
Learning Traffic Network Embeddings for Predicting Congestion Propagation,
ITS(23), No. 8, August 2022, pp. 11591-11604.
IEEE DOI 2208
Roads, Microscopy, Spatiotemporal phenomena, Predictive models, Vehicle dynamics, Sun, Intelligent transportation systems, propagation model BibRef

Kubin, L.[Luca], Bianconcini, T.[Tommaso], de Andrade, D.C.[Douglas Coimbra], Simoncini, M.[Matteo], Taccari, L.[Leonardo], Sambo, F.[Francesco],
Deep Crash Detection From Vehicular Sensor Data With Multimodal Self-Supervision,
ITS(23), No. 8, August 2022, pp. 12480-12489.
IEEE DOI 2208
Accidents, Time series analysis, Feature extraction, Task analysis, Global Positioning System, Deep learning, Training, time series classification BibRef

Wang, C.[Chong], Xu, Y.[Yang], Zhang, J.[Jian], Ran, B.[Bin],
Integrated Traffic Control for Freeway Recurrent Bottleneck Based on Deep Reinforcement Learning,
ITS(23), No. 9, September 2022, pp. 15522-15535.
IEEE DOI 2209
Traffic control, Roads, Reinforcement learning, Transceivers, Simulation, Terminology, Synchronization, freeway traffic management BibRef

Shen, G.J.[Guo-Jiang], Han, X.[Xiao], Chin, K.[Kwaisang], Kong, X.J.[Xiang-Jie],
An Attention-Based Digraph Convolution Network Enabled Framework for Congestion Recognition in Three-Dimensional Road Networks,
ITS(23), No. 9, September 2022, pp. 14413-14426.
IEEE DOI 2209
Roads, Data models, Data mining, Convolution, Convolutional neural networks, Spatiotemporal phenomena, intelligent transportation systems BibRef

Cheng, Z.Y.[Ze-Yang], Yuan, J.H.[Jing-Hui], Yu, B.[Bo], Lu, J.[Jian], Zhao, Y.[Yi],
Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai,
ITS(23), No. 9, September 2022, pp. 15329-15339.
IEEE DOI 2209
Computer crashes, Accidents, Roads, Real-time systems, Predictive models, Safety management, Analytical models, crash risk classification BibRef

Qi, H.S.[Hong-Sheng], Yu, Y.[Yi], Tang, Q.[Qing], Hu, X.B.[Xian-Biao],
Intersection traffic deadlock formation and its probability: A petri net-based modeling approach,
IET-ITS(16), No. 10, 2022, pp. 1342-1363.
DOI Link 2209
BibRef

Luo, X.Y.[Xin-Yu], Zhang, J.M.[Jia-Ming], Yang, K.L.[Kai-Lun], Roitberg, A.[Alina], Peng, K.Y.[Kun-Yu], Stiefelhagen, R.[Rainer],
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning,
WAD22(4428-4438)
IEEE DOI 2210
Image segmentation, Adaptation models, Semantics, Transportation, Benchmark testing, Transformers, Robustness BibRef

Chen, M.Y.[Mu-Yen], Chiang, H.S.[Hsiu-Sen], Huang, W.K.[Wei-Kai],
Efficient Generative Adversarial Networks for Imbalanced Traffic Collision Datasets,
ITS(23), No. 10, October 2022, pp. 19864-19873.
IEEE DOI 2210
Generative adversarial networks, Generators, Training, Data models, Probability distribution, Prediction algorithms, Deep learning, GDAGAN BibRef

Thakare, K.V.[Kamalakar Vijay], Dogra, D.P.[Debi Prosad], Choi, H.[Heeseung], Kim, H.[Haksub], Kim, I.J.[Ig-Jae],
Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning,
ITS(23), No. 11, November 2022, pp. 20601-20613.
IEEE DOI 2212
Proposals, Feature extraction, Road accidents, Videos, Roads, Location awareness, Task analysis, Anomaly detection, object localization BibRef

Othman, B.[Bassel], de Nunzio, G.[Giovanni], di Domenico, D.[Domenico], Canudas-de-Wit, C.[Carlos],
Analysis of the Impact of Variable Speed Limits on Environmental Sustainability and Traffic Performance in Urban Networks,
ITS(23), No. 11, November 2022, pp. 21766-21776.
IEEE DOI 2212
Biological system modeling, Roads, Green products, Predictive models, Adaptation models, Fuels, Variable speed limits, artificial neural networks BibRef

Hao, W.[Wei], Rong, D.L.[Dong-Lei], Zhang, Z.L.[Zhao-Lei], Wu, Q.Y.[Qi-Yu], Byon, Y.J.[Young-Ji], Yi, K.[Kefu], Tang, J.J.[Jin-Jun], Lyu, N.C.[Neng-Chao],
Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked AutoEncoder-Gated Recurrent Unit,
ITS(23), No. 11, November 2022, pp. 20110-20122.
IEEE DOI 2212
Safety, Data models, Predictive models, Character recognition, Real-time systems, Analytical models, Training, Active safety, Stacked AutoEncoder-Gated Recurrent Unit BibRef

Pramanik, A.[Anima], Pal, S.K.[Sankar Kumar], Maiti, J.[Jhareswar], Mitra, P.[Pabitra],
Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers,
ITS(23), No. 12, December 2022, pp. 24116-24125.
IEEE DOI 2212
Uncertainty, Anomaly detection, Radio frequency, Feature extraction, Optimization, Streaming media, Fuzzy sets, Z-numbers BibRef

Li, X.Y.[Xi-Ying], Hao, T.L.[Teng-Long], Jin, X.[Xiao], Huang, B.[Bailin], Liang, J.R.[Jing-Ru],
Fine Traffic Congestion Detection With Hierarchical Description,
ITS(23), No. 12, December 2022, pp. 24439-24453.
IEEE DOI 2212
Roads, Spatiotemporal phenomena, Visualization, Vehicle dynamics, Surveillance, Intelligent transportation systems, speed detection BibRef

Man, C.K.[Cheuk Ki], Quddus, M.[Mohammed], Theofilatos, A.[Athanasios], Yu, R.J.[Rong-Jie], Imprialou, M.[Marianna],
Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction,
ITS(23), No. 12, December 2022, pp. 23002-23013.
IEEE DOI 2212
Computer crashes, Real-time systems, Predictive models, Generative adversarial networks, Data models, Accidents, Safety, proactive traffic management BibRef

Djenouri, Y.[Youcef], Srivastava, G.[Gautam], Djenouri, D.[Djamel], Belhadi, A.[Asma], Lin, J.C.W.[Jerry Chun-Wei],
Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads,
ITS(23), No. 12, December 2022, pp. 25335-25344.
IEEE DOI 2212
Accidents, Convolution, Estimation, Neural networks, Vehicle detection, Roads, Feature extraction, Deep learning, smart roads BibRef

Razi, A.[Abolfazl], Chen, X.[Xiwen], Li, H.Y.[Hua-Yu], Wang, H.[Hao], Russo, B.[Brendan], Chen, Y.[Yan], Yu, H.B.[Hong-Bin],
Deep learning serves traffic safety analysis: A forward-looking review,
IET-ITS(17), No. 1, 2023, pp. 22-71.
DOI Link 2301
BibRef

Gu, K.[Ke], Hu, J.[Jieyu], Jia, W.J.[Wei-Jia],
Adaptive Area-Based Traffic Congestion Control and Management Scheme Based on Fog Computing,
ITS(24), No. 1, January 2023, pp. 1359-1373.
IEEE DOI 2301
Roads, Cloud computing, Real-time systems, Vehicle dynamics, Transportation, Accidents, Traffic management, urban area, traffic congestion BibRef

Wu, M.Y.[Ming-Yao], Jia, H.W.[Hong-Wei], Luo, D.[Dan], Luo, H.Y.[Hai-Yong], Zhao, F.[Fang], Li, G.[Ge],
A multi-attention dynamic graph convolution network with cost-sensitive learning approach to road-level and minute-level traffic accident prediction,
IET-ITS(17), No. 2, 2023, pp. 270-284.
DOI Link 2302
BibRef

Siebke, C.[Christian], Mai, M.[Marcus], Prokop, G.[Günther],
What Do Traffic Simulations Have to Provide for Virtual Road Safety Assessment? Human Error Modeling in Traffic Simulations,
ITS(24), No. 2, February 2023, pp. 1419-1436.
IEEE DOI 2302
Accidents, Vehicles, Roads, Taxonomy, Safety, Cognition, Road accidents, Automated driving, driver assistance system, Rasmussen's error taxonomy BibRef

Vijay, T.K.[Thakare Kamalakar], Dogra, D.P.[Debi Prosad], Choi, H.[Heeseung], Nam, G.[Gipyo], Kim, I.J.[Ig-Jae],
Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos,
ITS(24), No. 2, February 2023, pp. 1926-1935.
IEEE DOI 2302
Videos, Road accidents, Feature extraction, Cameras, Training, Surveillance, Intelligent transportation systems, feature similarity BibRef

Zhang, Y.F.[Yun-Fei], Zhu, F.Q.[Fang-Qi], Li, Q.P.[Qiu-Ping], Qiu, Z.H.[Ze-Hang], Xie, Y.J.[Ya-Jun],
Exploring Spatiotemporal Patterns of Expressway Traffic Accidents Based on Density Clustering and Bayesian Network,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Mehrannia, P.[Pouya], Bagi, S.S.G.[Shayan Shirahmad Gale], Moshiri, B.[Behzad], Al-Basir, O.A.[Otman Adam],
Deep representation of imbalanced spatio-temporal traffic flow data for traffic accident detection,
IET-ITS(17), No. 3, 2023, pp. 602-615.
DOI Link 2303
BibRef

Seong, J.[Jeong], Kim, Y.[Yunsik], Goh, H.[Hyewon], Kim, H.[Hyunmin], Stanescu, A.[Ana],
Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Nogueira, P.[Pedro], Silva, M.[Marcelo], Infante, P.[Paulo], Nogueira, V.[Vitor], Manuel, P.[Paulo], Afonso, A.[Anabela], Jacinto, G.[Gonçalo], Rego, L.[Leonor], Quaresma, P.[Paulo], Saias, J.[José], Santos, D.[Daniel], Gois, P.[Patricia],
Learning from Accidents: Spatial Intelligence Applied to Road Accidents with Insights from a Case Study in Setubal District, Portugal,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Mekonnen, A.A.[Anteneh Afework], Sipos, T.[Tibor], Krizsik, N.[Nóra],
Identifying Hazardous Crash Locations Using Empirical Bayes and Spatial Autocorrelation,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Trirat, P.[Patara], Yoon, S.[Susik], Lee, J.G.[Jae-Gil],
MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction,
ITS(24), No. 4, April 2023, pp. 3779-3794.
IEEE DOI 2304
Accidents, Correlation, Predictive models, Roads, Forecasting, Context modeling, Behavioral sciences, intelligent transportation system BibRef

Cheng, Z.Y.[Ze-Yang], Zhang, W.H.[Wei-Hua], Lu, J.[Jian], Yu, B.[Bo], Wang, S.G.[Shi-Guang],
A Superposition Assessment Method of Road Crash Risk and Congestion Risk: An Empirical Analysis,
ITS(24), No. 4, April 2023, pp. 4262-4276.
IEEE DOI 2304
Accidents, Roads, Real-time systems, Risk management, Computer crashes, Predictive models, Spatiotemporal phenomena, comprehensive management BibRef

Ramana, K.[Kadiyala], Srivastava, G.[Gautam], Kumar, M.R.[Madapuri Rudra], Gadekallu, T.R.[Thippa Reddy], Lin, J.C.W.[Jerry Chun-Wei], Alazab, M.[Mamoun], Iwendi, C.[Celestine],
A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas,
ITS(24), No. 4, April 2023, pp. 3922-3934.
IEEE DOI 2304
Convolutional neural networks, Transformers, Transportation, Roads, Feature extraction, Deep learning, Computational modeling, traffic congestion prediction BibRef

Hayashi, A.[Aki], Yokohata, Y.[Yuki], Hata, T.[Takahiro], Mori, K.[Kouhei], Kamiya, M.[Masato],
Prioritization of Lane-Specific Traffic Jam Detection for Automotive Navigation Framework Utilizing Suddenness Index and Automatic Threshold Determination,
IEICE(E106-D), No. 5, May 2023, pp. 895-903.
WWW Link. 2305
BibRef

Ma, Q.L.[Qing-Lu], Wang, X.Y.[Xin-Yu], Zhang, S.[Shu], Lu, C.R.[Chao-Ru],
Distributed Self-Organizing Control of CAVs Between Multiple Adjacent-Ramps,
ITS(24), No. 5, May 2023, pp. 5430-5441.
IEEE DOI 2305
Merging, Weaving, Delays, Behavioral sciences, Accidents, Traffic congestion, Roads, Distributed self-organizing method, traffic efficiency BibRef

Zhang, F.[Futao], Qian, Y.S.[Yong-Sheng], Zeng, J.W.[Jun-Wei],
Characterizing Heterogeneous Traffic Flow at a Slope Bottleneck via Cellular Automaton Model,
ITS(24), No. 6, June 2023, pp. 6507-6516.
IEEE DOI 2306
Safety, Analytical models, Roads, Vehicles, Automata, Adaptation models, Vehicle dynamics, Cellular automata, traffic flow BibRef

Gao, F.[Fei], You, S.Z.[Sheng-Zhe], Wang, J.C.[Jin-Chao], Zhang, S.F.[Shi-Feng], Xie, D.[Di],
Whether and how congested is a road? Indices, updating strategy and a vision-based detection framework,
IET-ITS(17), No. 6, 2023, pp. 1152-1165.
DOI Link 2307
object tracking, traffic BibRef

de Sousa-Pereira-Amorim, B.[Brunna], Firmino, A.A.[Anderson Almeida], de Souza-Baptista, C.[Cláudio], Júnior, G.B.[Geraldo-Braz], Paiva, d.C.[de_Anselmo-Cardoso], Edeverton-de-Almeida-Júnior, F.[Francisco],
A Machine Learning Approach for Classifying Road Accident Hotspots,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Shaharuddin, R.A.[Raihanah Adawiyah], Misro, M.Y.[Md Yushalify],
Controlling Traffic Congestion in Urbanised City: A Framework Using Agent-Based Modelling and Simulation Approach,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Hashikami, H.[Hidenobu], Kobayashi, R.[Ryotaro], Li, Y.[Yu], Nakano, Y.[Yoshiki], Shigeno, M.[Maiko],
Safe Route Carpooling to Avoid Accident Locations and Small-Scale Proof of Concept in Japan,
SMCS(53), No. 7, July 2023, pp. 4239-4250.
IEEE DOI 2307
Accidents, Automobiles, Companies, Vehicles, Servers, Safety, Public transportation, Accident locations, carpooling, safety BibRef

Liu, Y.B.[Yi-Bing], Huo, L.J.[Li-Jun], Wu, J.[Jun], Bashir, A.K.[Ali Kashif],
Swarm Learning-Based Dynamic Optimal Management for Traffic Congestion in 6G-Driven Intelligent Transportation System,
ITS(24), No. 7, July 2023, pp. 7831-7846.
IEEE DOI 2307
Roads, 6G mobile communication, Switches, Data models, Vehicle dynamics, Hidden Markov models, Computational modeling, intelligent decision BibRef

Qu, Z.G.[Zhi-Guo], Liu, X.Z.[Xin-Zhu], Zheng, M.[Min],
Temporal-Spatial Quantum Graph Convolutional Neural Network Based on Schrödinger Approach for Traffic Congestion Prediction,
ITS(24), No. 8, August 2023, pp. 8677-8686.
IEEE DOI 2308
Neural networks, Computational modeling, Roads, Convolutional neural networks, Closed-form solutions, quantum graph convolutional neural network BibRef

Zhang, Y.Z.[Ya-Zhou], Tiwari, P.[Prayag], Zheng, Q.[Qian], Saddik, E.[El_Abdulmotaleb], Hossain, M.S.[M. Shamim],
A Multimodal Coupled Graph Attention Network for Joint Traffic Event Detection and Sentiment Classification,
ITS(24), No. 8, August 2023, pp. 8542-8554.
IEEE DOI 2308
Event detection, Task analysis, Visualization, Support vector machines, Deep learning, Roads, Machine learning, intelligent transportation system BibRef

Zhou, T.[Tong], Sun, Y.C.[Ying-Chao], Wang, X.[Xu], Dai, R.J.[Rong-Jian], Cao, R.[Rong], Wu, X.P.[Xiao-Pei],
Proactive integrated traffic control to mitigate congestion at toll plazas,
IET-ITS(17), No. 8, 2023, pp. 1575-1587.
DOI Link 2309
cell transmission model, dynamic lane configuration, model predictive control, toll plaza, variable speed limit BibRef

Ni, Z.J.[Zi-Jian], Zhang, Q.[Qi],
Mining the Critical Factors of Hazardous Material Road Transportation Accidents From Chinese Investigation Reports,
ITS(24), No. 10, October 2023, pp. 11121-11131.
IEEE DOI 2310
BibRef

Mishra, S.[Sumit], Rajendran, P.K.[Praveen Kumar], Vecchietti, L.F.[Luiz Felipe], Har, D.S.[Dong-Soo],
Sensing Accident-Prone Features in Urban Scenes for Proactive Driving and Accident Prevention,
ITS(24), No. 9, September 2023, pp. 9401-9414.
IEEE DOI 2310
BibRef

Li, Z.X.[Zhe-Xian], Levin, M.W.[Michael W.], Qu, X.[Xu], Stern, R.[Raphael],
A Network Traffic Model for the Control of Autonomous Vehicles Acting as Moving Bottlenecks,
ITS(24), No. 9, September 2023, pp. 9004-9015.
IEEE DOI 2310
BibRef

Cheng, Z.Y.[Ze-Yang], Lu, J.[Jian], Ding, H.[Heng], Li, Y.X.[Yun-Xuan], Bai, H.J.[Hai-Jian], Zhang, W.H.[Wei-Hua],
A Superposition Assessment Framework of Multi-Source Traffic Risks for Mega-Events Using Risk Field Model and Time-Series Generative Adversarial Networks,
ITS(24), No. 11, November 2023, pp. 12736-12753.
IEEE DOI 2311
BibRef

Yue, W.W.[Wen-Wei], Li, C.L.[Chang-La], Wang, S.[Shangbo], Xue, N.[Nan], Wu, J.M.[Jia-Ming],
Cooperative Incident Management in Mixed Traffic of CAVs and Human-Driven Vehicles,
ITS(24), No. 11, November 2023, pp. 12462-12476.
IEEE DOI 2311
BibRef

Bai, X.[Xiwen], Ma, Z.J.[Zhong-Jun], Hou, Y.[Yao], Li, Y.L.[Yi-Liang], Yang, D.[Dong],
A Data-Driven Iterative Multi-Attribute Clustering Algorithm and Its Application in Port Congestion Estimation,
ITS(24), No. 11, November 2023, pp. 12026-12037.
IEEE DOI 2311
BibRef

Zhou, W.[Wei], Wen, L.[Longhui], Zhan, Y.F.[Yun-Fei], Wang, C.[Chen],
An Appearance-Motion Network for Vision-Based Crash Detection: Improving the Accuracy in Congested Traffic,
ITS(24), No. 12, December 2023, pp. 13742-13755.
IEEE DOI Code:
WWW Link. 2312
BibRef

Varga, B.[Balázs], Tettamanti, T.[Tamás],
Jam Propagation Analysis With Mesoscopic Traffic Simulation,
ITS(24), No. 12, December 2023, pp. 14162-14173.
IEEE DOI 2312
BibRef

Song, W.F.[Wen-Feng], Li, S.[Shuai], Chang, T.[Tao], Xie, K.[Ke], Hao, A.[Aimin], Qin, H.[Hong],
Dynamic attention augmented graph network for video accident anticipation,
PR(147), 2024, pp. 110071.
Elsevier DOI Code:
WWW Link. 2312
Accident anticipation, Dynamic attention, Graph network, Global context BibRef

Feng, R.[Rui], Cui, H.Q.[He-Qi], Feng, Q.[Qiang], Chen, S.X.[Si-Xuan], Gu, X.N.[Xiao-Ning], Yao, B.Z.[Bao-Zhen],
Urban Traffic Congestion Level Prediction Using a Fusion-Based Graph Convolutional Network,
ITS(24), No. 12, December 2023, pp. 14695-14705.
IEEE DOI 2312
BibRef

Shang, W.L.[Wen-Long], Gao, Z.Y.[Zi-You], Daina, N.[Nicolò], Zhang, H.R.[Hao-Ran], Long, Y.[Yin], Guo, Z.L.[Zhi-Ling], Ochieng, W.Y.[Washington Y.],
Benchmark Analysis for Robustness of Multi-Scale Urban Road Networks Under Global Disruptions,
ITS(24), No. 12, December 2023, pp. 15344-15354.
IEEE DOI 2312
BibRef

Li, W.J.[Wen-Jing], Luo, Z.H.[Zi-Hao],
Research on Traffic Accident Risk Prediction Method Based on Spatial and Visual Semantics,
IJGI(12), No. 12, 2023, pp. 496.
DOI Link 2312
BibRef

Shi, Y.T.[Yun-Tao], Zhang, Y.[Ying], Yin, X.[Xiang], Liu, W.C.[Wei-Chuan], Cheng, T.[Tingshen],
Risk-averse perimeter control for alleviating the congestion of an urban traffic network system with uncertainties,
IET-ITS(18), No. 1, 2024, pp. 72-87.
DOI Link 2401
intelligent control, intelligent transportation systems, nonlinear control systems, predictive control BibRef

Yu, H.Y.[Hong-Yang], Zhang, X.F.[Xin-Feng], Wang, Y.[Yaowei], Huang, Q.M.[Qing-Ming], Yin, B.C.[Bao-Cai],
Fine-Grained Accident Detection: Database and Algorithm,
IP(33), 2024, pp. 1059-1069.
IEEE DOI 2402
Accidents, Videos, Surveillance, Task analysis, Cameras, Estimation, Feature extraction, Traffic accidents, accident classification, severity estimation BibRef

Wan, J.[Jianwu], Zhu, S.Y.[Si-Ying],
Cost-Sensitive Graph Convolutional Network With Self-Paced Learning for Hit-and-Run Analysis,
ITS(25), No. 2, February 2024, pp. 1675-1690.
IEEE DOI 2402
Computer crashes, Analytical models, Semisupervised learning, Data models, Safety, Transportation, Convolutional neural networks, semi-supervised learning BibRef

Grigorev, A.[Artur], Mihaita, A.S.[Adriana-Simona], Saleh, K.[Khaled], Chen, F.[Fang],
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning,
ITS(25), No. 2, February 2024, pp. 1547-1568.
IEEE DOI 2402
Accidents, Anomaly detection, Predictive models, Measurement, Roads, Prediction algorithms, Machine learning, Traffic management, machine learning BibRef

Ji, T.[Tao], Huang, X.[Xian], Shao, J.L.[Jin-Liang], Zhu, Y.Q.[Yun-Qiang], Deng, S.[Shejun], Yu, S.J.[Shi-Jun], Liao, H.J.[Hua-Jun],
Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events: Case Study of Typhoon In-Fa,
IJGI(13), No. 2, 2024, pp. 50.
DOI Link 2402
BibRef

Jiang, D.[Dong], Zhao, W.J.[Wen-Ji], Wang, Y.H.[Yan-Hui], Wan, B.[Biyu],
A Spatiotemporal Hierarchical Analysis Method for Urban Traffic Congestion Optimization Based on Calculation of Road Carrying Capacity in Spatial Grids,
IJGI(13), No. 2, 2024, pp. 59.
DOI Link 2402
BibRef

Fu, J.[Jinyu], Yao, W.[Weiran], Sun, G.H.[Guang-Hui], Ma, Z.[Zhe], Dong, B.[Bo], Ding, J.[Jishiyu], Wu, L.G.[Li-Gang],
Multirobot Cooperative Path Optimization Approach for Multiobjective Coverage in a Congestion Risk Environment,
SMCS(54), No. 3, March 2024, pp. 1816-1827.
IEEE DOI 2402
Task analysis, Resource management, Robots, Path planning, Clustering algorithms, Robot kinematics, Optimization, task allocation BibRef

Yang, B.[Bo], Guo, Y.[Yanyong], Zhang, W.H.[Wei-Hua], Yao, Y.[Ying], Wu, Y.P.[Yi-Ping],
Exploring the impacts of traffic flow states on freeway normal crashes, primary crashes, and secondary crashes,
IET-ITS(18), No. 3, 2024, pp. 517-527.
DOI Link 2403
BibRef

Reyes, G.[Gary], Tolozano-Benites, R.[Roberto], Lanzarini, L.[Laura], Estrebou, C.[César], Bariviera, A.F.[Aurelio F.], Barzola-Monteses, J.[Julio],
Method for the Identification and Classification of Zones with Vehicular Congestion,
IJGI(13), No. 3, 2024, pp. 73.
DOI Link 2404
BibRef

Fang, J.[Jianwu], Qiao, J.H.[Jia-Huan], Xue, J.R.[Jian-Ru], Li, Z.G.[Zheng-Guo],
Vision-Based Traffic Accident Detection and Anticipation: A Survey,
CirSysVideo(34), No. 4, April 2024, pp. 1983-1999.
IEEE DOI 2404
Accidents, Surveys, Anomaly detection, Surveillance, Roads, Benchmark testing, Uncertainty BibRef

Sun, L.[Le], Liang, J.[Jiancong], Zhang, C.J.[Chun-Jiong], Wu, D.[Di], Zhang, Y.C.[Yan-Chun],
Meta-Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems,
ITS(25), No. 3, March 2024, pp. 2757-2767.
IEEE DOI 2405
Convolution, Time series analysis, Task analysis, Feature extraction, Training, 6G mobile communication, Kernel, road accident detection BibRef

Alsahfi, T.[Tariq],
Spatial and Temporal Analysis of Road Traffic Accidents in Major Californian Cities Using a Geographic Information System,
IJGI(13), No. 5, 2024, pp. 157.
DOI Link 2405
BibRef

Sarteshnizi, I.T.[Iman Taheri], Bagloee, S.A.[Saeed Asadi], Sarvi, M.[Majid], Nassir, N.[Neema],
Traffic Anomaly Detection: Exploiting Temporal Positioning of Flow-Density Samples,
ITS(25), No. 5, May 2024, pp. 4166-4180.
IEEE DOI 2405
Anomaly detection, Accidents, Data models, Real-time systems, Machine learning algorithms, Roads, Labeling, Anomaly detection, angle-based outlier detection BibRef

Ma, Y.T.[Yun-Tao], Ghanbari, H.[Hiva], Huang, T.Y.[Tian-Yuan], Irvin, J.[Jeremy], Brady, O.[Oliver], Zalouk, S.[Sofian], Sheng, H.[Hao], Ng, A.[Andrew], Rajagopal, R.[Ram], Narsude, M.[Mayur],
A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning,
ITS(25), No. 6, June 2024, pp. 5627-5639.
IEEE DOI 2406
Location awareness, Deep learning, Accidents, Training, Task analysis, Estimation, Automobiles, Vehicle part localization, machine learning BibRef

Yu, H.Y.[Hong-Yang], Zhang, X.F.[Xin-Feng], Wang, Y.[Yaowei], Huang, Q.M.[Qing-Ming], Yin, B.C.[Bao-Cai],
Multiple-Level Distillation for Video Fine-Grained Accident Detection,
CirSysVideo(34), No. 6, June 2024, pp. 4445-4457.
IEEE DOI 2406
Accidents, Task analysis, Feature extraction, Data models, Computational modeling, Anomaly detection, Training, multiple-level distillation BibRef

Ferguson, B.L.[Bryce L.], Brown, P.N.[Philip N.], Marden, J.R.[Jason R.],
Information Signaling With Concurrent Monetary Incentives in Bayesian Congestion Games,
ITS(25), No. 7, July 2024, pp. 8028-8041.
IEEE DOI 2407
Vehicles, Games, Costs, Bayes methods, Uncertainty, Routing, Roads, Traffic congestion control, routing decisions, game theory BibRef

Singh, M.K.[Mohit Kumar], Formosa, N.[Nicolette], Man, C.K.[Cheuk Ki], Morton, C.[Craig], Masera, C.B.[Cansu Bahar], Quddus, M.[Mohammed],
Assessing temporary traffic management measures on a motorway: Lane closures vs narrow lanes for connected and autonomous vehicles in roadworks,
IET-ITS(18), No. 7, 2024, pp. 1210-1226.
DOI Link 2407
automated driving and intelligent vehicles, delays, road safety, traffic management and control, transport modelling and microsimulation BibRef

Kashifi, M.T.[Mohammad Tamim],
Deep Hybrid Attention Framework for Road Crash Emergency Response Management,
ITS(25), No. 8, August 2024, pp. 8807-8818.
IEEE DOI 2408
Computer crashes, Long short term memory, Predictive models, Injuries, Medical services, Roads, Analytical models, Deep learning, attention mechanism BibRef

Matsui, Y.[Yusuke], Yoshihiro, T.[Takuya],
A Flow-Based Centralized Route Guidance System for Traffic Congestion Mitigation,
ITS(25), No. 8, August 2024, pp. 8681-8694.
IEEE DOI 2408
Roads, Traffic congestion, Optimization, Vehicle dynamics, Computer architecture, Urban areas, Real-time systems, route guidance system BibRef

Rocky, A.[Arash], Wu, Q.M.J.[Qing-Ming Jonathan], Zhang, W.[Wandong],
Review of Accident Detection Methods Using Dashcam Videos for Autonomous Driving Vehicles,
ITS(25), No. 8, August 2024, pp. 8356-8374.
IEEE DOI 2408
Accidents, Videos, Feature extraction, Cameras, Autonomous vehicles, Image reconstruction, Vehicles, Accident detection, dashcam videos BibRef

Wu, J.[Jian], Flannagan, C.[Carol], Sander, U.[Ulrich], Bärgman, J.[Jonas],
Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation,
ITS(25), No. 9, September 2024, pp. 10866-10884.
IEEE DOI 2409
Accidents, Lead, Kinematics, Safety, Scenario generation, Data models, Vehicles, Rear-end crash, lead-vehicle kinematics, virtual safety assessment BibRef

Xiong, Z.[Ziluo], Chen, S.[Suren], Jia, G.F.[Gao-Feng],
Developing Risk-Informed Speed Limits Against Single-Vehicle Crashes by Exploiting an Augmented Reliability Problem With Multi-Fidelity Enhancement,
ITS(25), No. 9, September 2024, pp. 12018-12033.
IEEE DOI 2409
Static VAr compensators, Accidents, Computational modeling, Analytical models, Rollover, Predictive models, Reliability theory, multi-fidelity method BibRef

Lu, W.Q.[Wen-Qi], Yi, Z.W.[Zi-Wei], Liang, B.J.[Bing-Jie], Rui, Y.[Yikang], Ran, B.[Bin],
Improving Traffic Operation of Bottleneck in a Connected and Automated Vehicles Environment: An Integrated Lane-Level Control Method,
ITS(25), No. 9, September 2024, pp. 11675-11688.
IEEE DOI 2409
Predictive models, Traffic control, Deep learning, Roads, Feedback control, Data models, Planning, Traffic control, connected and automated vehicle BibRef

Tang, J.[Jiting], Wu, S.N.[Sheng-Nan], Yang, S.[Saini], Shi, Y.[Yongguo],
Resilience Assessment of Urban Road Transportation in Rainfall,
RS(16), No. 17, 2024, pp. 3311.
DOI Link 2409
BibRef

Yang, X.[Xiaomi], Lubbe, N.[Nils], Bärgman, J.[Jonas],
Evaluation of comfort zone boundary based automated emergency braking algorithms for car-to-powered-two-wheeler crashes in China,
IET-ITS(18), No. 9, 2024, pp. 1599-1615.
DOI Link 2409
accident analysis, accident prevention, advanced driver assistance systems, safety systems BibRef

Bosia, L.[Leonardo], Manganotto, L.[Luca], Anghileri, M.[Marco], Dolci, S.[Stefano], Astori, P.[Paolo], Kan, C.D.[Cing-Dao],
Real-Time Collision Mitigation Strategies for Autonomous Vehicles,
ITS(25), No. 10, October 2024, pp. 13483-13493.
IEEE DOI 2410
Accidents, Automobiles, Finite element analysis, Safety, Indexes, Real-time systems, Injuries, Autonomous vehicles, multibody code, unavoidable impacts BibRef

Zhang, C.J.[Chao-Jie], Wu, X.C.[Xi-Chao], Wang, J.[Jun], Song, M.X.[Meng-Xuan],
Efficient Uncertainty-Aware Collision Avoidance for Autonomous Driving Using Convolutions,
ITS(25), No. 10, October 2024, pp. 13805-13819.
IEEE DOI 2410
Planning, Uncertainty, Collision avoidance, Trajectory, Location awareness, Autonomous vehicles, chance constraint BibRef

Zhao, W.J.[Wen-Jing], Gong, S.Y.[Si-Yuan], Zhao, D.[Dezong], Liu, F.[Fenglin], Sze, N.N., Quddus, M.[Mohammed], Huang, H.[Helai],
A Spatial-State-Based Omni-Directional Collision Warning System for Intelligent Vehicles,
ITS(25), No. 10, October 2024, pp. 14344-14358.
IEEE DOI 2410
Vehicles, Alarm systems, Mathematical models, Real-time systems, Intelligent vehicles, Vectors, Traffic control, Connected vehicles, field tests BibRef

Han, L.[Lei], Abdel-Aty, M.[Mohamed], Yu, R.J.[Rong-Jie], Wang, C.[Chenzhu],
LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data,
ITS(25), No. 11, November 2024, pp. 18383-18395.
IEEE DOI 2411
Accidents, Detectors, Transformers, Traffic control, Long short term memory, Data models, Roads, Crash risk evaluation, proactive traffic management BibRef

Ling, Y.C.[Yan-Cheng], Ma, Z.[Zhenliang], Dong, X.X.[Xiao-Xian], Weng, X.X.[Xiao-Xiong],
A deep learning approach for robust traffic accident information extraction from online chinese news,
IET-ITS(18), No. 10, 2024, pp. 1847-1862.
DOI Link 2411
artificial intelligence, road safety, text analysis BibRef

Li, M.[Meng], Li, Z.B.[Zhi-Bin], Wang, B.T.[Bing-Tong], Wang, S.C.[Shun-Chao],
A Bounded Rationality-Aware Car-Following Strategy for Alleviating Cut-In Events and Traffic Disturbances in Traffic Oscillations,
ITS(25), No. 11, November 2024, pp. 17902-17916.
IEEE DOI 2411
Vehicles, Safety, Oscillators, Games, Mathematical models, Reinforcement learning, Task analysis, Autonomous vehicle, cut-in maneuver BibRef

Li, C.J.[Chao-Jie], Zhang, B.[Borui], Wang, Z.[Zeyu], Yang, Y.[Yin], Zhou, X.J.[Xiao-Jun], Pan, S.R.[Shi-Rui], Yu, X.[Xinghuo],
Interpretable Traffic Accident Prediction: Attention Spatial-Temporal Multi-Graph Traffic Stream Learning Approach,
ITS(25), No. 11, November 2024, pp. 15574-15586.
IEEE DOI 2411
Accidents, Predictive models, Correlation, Deep learning, Spatiotemporal phenomena, Feature extraction, interpretability BibRef

Hsu, C.C.[Chih-Chung], Jiang, Y.Z.[Yun-Zhong], Huang, W.H.[Wei-Hao],
VCDSet: A New Vehicle Collision Dataset in Asia Countries for Anticipating Accidents,
ICIP24(1350-1356)
IEEE DOI 2411
Annotations, Roads, Asia, Transportation, Automobiles, Time factors, Autonomous vehicles, Vehicle collision dataset, dashcam BibRef

Patera, P.[Patrik], Chen, Y.T.[Yie-Tarng], Fang, W.H.[Wen-Hsien],
Spatio-Temporal Adaptation with Dilated Neighbourhood Attention for Accident Anticipation,
ICIP24(2452-2458)
IEEE DOI 2411
Charge coupled devices, Adaptation models, Visualization, Transfer learning, DNA, Transformers, image-to-video adaptation BibRef

Pham, D.D.[Dinh-Duy], Dao, M.S.[Minh-Son], Nguyen, T.B.[Thanh-Binh],
A Cross-modal Attention Model for Fine-Grained Incident Retrieval from Dashcam Videos,
MMMod23(I: 409-420).
Springer DOI 2304
BibRef

Xia, Z.F.[Zhuo-Fei], Gong, J.Y.[Jia-Yuan], Long, Y.[Yue], Ren, W.B.[Wen-Bo], Wang, J.N.[Jing-Nan], Lan, H.T.[Hai-Tao],
Research on Traffic Accident Detection Based on Vehicle Perspective,
ICRVC22(223-227)
IEEE DOI 2301
Adaptation models, Event detection, Computational modeling, Roads, Predictive models, Real-time systems, Automobiles, lightweight model BibRef

Rempe, D.[Davis], Philion, J.[Jonah], Guibas, L.J.[Leonidas J.], Fidler, S.[Sanja], Litany, O.[Or],
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior,
CVPR22(17284-17294)
IEEE DOI 2210
Trajectory, Planning, Behavioral sciences, Optimization, Autonomous vehicles, Motion and tracking BibRef

Park, K.H.[Kyung Ho], Chung, H.[Hyunhee],
Don't Wait Until the Accident Happens: Few-Shot Classification Framework for Car Accident Inspection in a Real World,
CIAP22(I:560-571).
Springer DOI 2205
BibRef

Almeida, A.[Ana], Brás, S.[Susana], Sargento, S.[Susana], Oliveira, I.[Ilídio],
Using Bus Tracking Data to Detect Potential Hazard Driving Zones,
IbPRIA22(667-679).
Springer DOI 2205
BibRef

Makansi, O.[Osama], Çiçek, Ö.[Özgün], Marrakchi, Y.[Yassine], Brox, T.[Thomas],
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors,
ICCV21(13127-13137)
IEEE DOI 2203
Manifolds, Codes, Autonomous systems, Computational modeling, Network architecture, Trajectory, Motion and tracking, Vision for robotics and autonomous vehicles BibRef

He, S.T.[Song-Tao], Sadeghi, M.A.[Mohammad Amin], Chawla, S.[Sanjay], Alizadeh, M.[Mohammad], Balakrishnan, H.[Hari], Madden, S.[Samuel],
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories,
ICCV21(11957-11965)
IEEE DOI 2203
Satellites, Roads, Computational modeling, Urban areas, Estimation, Predictive models, Data models, Vision applications and systems, Vision for robotics and autonomous vehicles BibRef

Owire, B., Shibwabo Kasamani, B.,
A Smart GPS-based IoT System for Blackspot Notification,
SmartCityApp21(405-410).
DOI Link 2201
Length of the road marked as having high road accidents potential. BibRef

Golze, J., Feuerhake, U., Koetsier, C., Sester, M.,
Impact Analysis of Accidents on the Traffic Flow Based on Massive Floating Car Data,
ISPRS21(B4-2021: 95-102).
DOI Link 2201
BibRef

Rezaei, Z.[Zahra], Ebrahimpour-Komleh, H.[Hossein],
Prediction and Detection of car accidents in video by deep learning,
IPRIA21(1-9)
IEEE DOI 2201
Deep learning, Road accidents, Surveillance, Object detection, Streaming media, Sensor phenomena and characterization, Cameras BibRef

Gitahi, J., Hahn, M., Storz, M., Bernhard, C., Feldges, M., Nordentoft, R.,
Multi-sensor Traffic Data Fusion for Congestion Detection and Tracking,
ISPRS20(B1:173-180).
DOI Link 2012
BibRef

Sevinc, H.K., Karas, I.R., Demiral, E.,
Mobile-web-base Volunteered Geographic Information Application And Geometric Accuracy Analysis for Traffic Accidents,
SmartCityApp20(375-378).
DOI Link 2012
BibRef

Grimaldi, D.,
More Traffic Means More Accidents? the Case of French Nice Highway,
SmartCity20(25-27).
DOI Link 2012
BibRef

Mbarek, A., Jiber, M., Yahyaouy, A., Sabri, A.,
Road traffic mortality in Morocco: Analysis of statistical data,
ISCV20(1-7)
IEEE DOI 2011
data analysis, data mining, injuries, road accidents, road safety, road traffic, statistical analysis, Case fatality rate BibRef

You, T.[Tackgeun], Han, B.H.[Bo-Hyung],
Traffic Accident Benchmark for Causality Recognition,
ECCV20(VII:540-556).
Springer DOI 2011
BibRef

Berrouk, S.[Sara], El Fazziki, A.[Abdelaziz], Sadgal, M.[Mohammed],
Fuzzy-based Approach for Assessing Traffic Congestion in Urban Areas,
ICISP20(112-121).
Springer DOI 2009
BibRef

EslamiNezhad, S.A., Delavar, M.R.,
An Integrated Network-constrained Spatial Analysis for Car Accidents: A Case Study of Tehran City, Iran,
SMPR19(335-342).
DOI Link 1912
BibRef

Sanayei, R., Vafainejad, A.R., Karami, J., Aghamohammadi, H.,
Traffic Collision Time Series Analysis (a Case Study of Karaj-Qazvin Freeway),
SMPR19(941-948).
DOI Link 1912
BibRef

Suzuki, T., Kataoka, H., Aoki, Y., Satoh, Y.,
Anticipating Traffic Accidents with Adaptive Loss and Large-Scale Incident DB,
CVPR18(3521-3529)
IEEE DOI 1812
Accidents, Training, Databases, Adaptation models, Videos, Autonomous automobiles, Task analysis BibRef

Alaigba, D.B., Soumah, M., Banjo, M.O.,
Heterogeneity Index for the Assessment of Relationship Between Land Use Pattern and Road Traffic Congestion in Apapa-Oworoshoki Express Way, Lagos Metropolis,
Hannover17(189-196).
DOI Link 1805
BibRef

Anbaroglu, B., Heydecker, B., Cheng, T.,
How Travel Demand Affects Detection Of Non-recurrent Traffic Congestion On Urban Road Networks,
ISPRS16(B2: 159-164).
DOI Link 1610
BibRef

Ullah, H.[Habib], Ullah, M.[Mohib], Afridi, H.[Hina], Conci, N.[Nicola], de Natale, F.G.B.[Francesco G.B.],
Traffic accident detection through a hydrodynamic lens,
ICIP15(2470-2474)
IEEE DOI 1512
Optical flow; enthalpy model; kernel function; motion field BibRef

Bahnsen, C.[Chris], Moeslund, T.B.[Thomas B.],
Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Video,
ISVC15(I: 741-751).
Springer DOI 1601
BibRef
Earlier:
Detecting road user actions in traffic intersections using RGB and thermal video,
AVSS15(1-6)
IEEE DOI 1511
Accidents; Cameras; Detectors; Roads; Safety; Turning; Vehicles BibRef

Al Halawani, S.[Sawsan], Mitra, N.J.[Niloy J.],
Congestion-Aware Warehouse Flow Analysis and Optimization,
ISVC15(II: 702-711).
Springer DOI 1601
BibRef

Shad, R., Mesgar, A., Moghimi, R.,
Extraction of Accidents Prediction Maps Modeling Hot Spots in Geospatial Information System,
SMPR13(487-492).
DOI Link 1311
BibRef

Bernas, M.[Marcin],
Objects Detection and Tracking in Highly Congested Traffic Using Compressed Video Sequences,
ICCVG12(296-303).
Springer DOI 1210
BibRef

Sadeky, S.[Samy], Al-Hamadiy, A.[Ayoub], Michaelisy, B.[Bernd], Sayed, U.[Usama],
Real-Time Automatic Traffic Accident Recognition Using HFG,
ICPR10(3348-3351).
IEEE DOI 1008
BibRef

Yu, Z.J.[Zhi-Jing], Liu, B.[Bing], Tian, W.[Wei], Chen, F.[Fei],
Coded Target Based Traffic Accident Vision Swift Reconnaissance System,
CISP09(1-4).
IEEE DOI 0910
BibRef

Adeli-Mosabbeb, E.[Ehsan], Sadeghi, M.[Maryam], Fathy, M.[Mahmood], Bahekmat, M.[Maliheh],
A low-cost strong shadow-based segmentation approach for vehicle tracking in congested traffic scenes,
ICMV07(147-152).
IEEE DOI 0712
BibRef

Adeli-Mosabbeb, E.[Ehsan], Sadeghi, M.[Maryam], Fathy, M.[Mahmoud],
A New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow Segmentation,
ISVC07(II: 427-436).
Springer DOI 0711
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Traffic Signal Control, Traffic Analysis, Not Image Analysis .

Last update:Nov 26, 2024 at 16:40:19