16.7.2.5.10 Traffic Accidents, Analysis, Congestion, Not Image Analysis

Chapter Contents (Back)
Accidents. Collisions. Traffic Congestion.

Kamijo, S., Matsushita, Y., Ikeuchi, K., Sakauchi, M.,
Traffic monitoring and accident detection at intersections,
ITS(1), No. 2, June 2000, pp. 108-118.
IEEE Abstract. 0402
BibRef

Ki, Y.K., Lee, D.Y.,
A Traffic Accident Recording and Reporting Model at Intersections,
ITS(8), No. 2, April 2007, pp. 188-194.
IEEE DOI 0706
BibRef

Milanes, V., Villagra, J., Godoy, J., Simo, J., Perez, J., Onieva, E.,
An Intelligent V2I-Based Traffic Management System,
ITS(13), No. 1, March 2012, pp. 49-58.
IEEE DOI 1203
BibRef
And: Erratum: ITS(14), No. 3, 2013, pp. 1556-1556.
IEEE DOI 1309
Accident prevention; Collision avoidance; Fuzzy control; Traffic control BibRef

Dong, J., Mahmassani, H.S.,
Stochastic Modeling of Traffic Flow Breakdown Phenomenon: Application to Predicting Travel Time Reliability,
ITS(13), No. 4, December 2012, pp. 1803-1809.
IEEE DOI 1212
BibRef

Chung, Y., Recker, W.W.,
A Methodological Approach for Estimating Temporal and Spatial Extent of Delays Caused by Freeway Accidents,
ITS(13), No. 3, September 2012, pp. 1454-1461.
IEEE DOI 1209
BibRef

Chung, Y., Recker, W.W.,
Spatiotemporal Analysis of Traffic Congestion Caused by Rubbernecking at Freeway Accidents,
ITS(14), No. 3, 2013, pp. 1416-1422.
IEEE DOI 1309
Binary integer programming (BIP) BibRef

Gerber, M.S., Tang, L.,
Automatic Quality Control of Transportation Reports Using Statistical Language Processing,
ITS(14), No. 4, 2013, pp. 1681-1689.
IEEE DOI 1312
Accidents BibRef

Aköz, Ö.[Ömer], Karsligil, M.E.[M. Elif],
Traffic event classification at intersections based on the severity of abnormality,
MVA(25), No. 3, April 2014, pp. 613-632.
WWW Link. 1404
BibRef
Earlier:
Severity classification of abnormal traffic events at intersections,
ICIP11(2409-2412).
IEEE DOI 1201
BibRef
Earlier:
Video-based traffic accident analysis at intersections using partial vehicle trajectories,
ICIP10(4693-4696).
IEEE DOI 1009
BibRef

Morales, A.[Alejandro], Gonzalez-Aguilera, D.[Diego], Gutiérrez, M.A.[Miguel A.], López, A.I.[Alfonso I.],
Energy Analysis of Road Accidents Based on Close-Range Photogrammetry,
RS(7), No. 11, 2015, pp. 15161.
DOI Link 1512
BibRef

Chou, C.S.[Chih-Sheng], Nichols, A.P.,
Deriving a surrogate safety measure for freeway incidents based on predicted end-of-queue properties,
IET-ITS(9), No. 1, 2015, pp. 22-29.
DOI Link 1503
queueing theory BibRef

Lei, C., Lin, W., Miao, L.,
A Stochastic Emergency Vehicle Redeployment Model for an Effective Response to Traffic Incidents,
ITS(16), No. 2, April 2015, pp. 898-909.
IEEE DOI 1504
Dispatching BibRef

Fleming, C.H., Leveson, N.G.,
Early Concept Development and Safety Analysis of Future Transportation Systems,
ITS(17), No. 12, December 2016, pp. 3512-3523.
IEEE DOI 1612
Accidents BibRef

Zhang, Y.Y.[Ying-Ya], Ye, N.[Ning], Wang, R.[Ruchuan], Malekian, R.[Reza],
A Method for Traffic Congestion Clustering Judgment Based on Grey Relational Analysis,
IJGI(5), No. 5, 2016, pp. 71.
DOI Link 1606
BibRef

Chung, Y., Recker, W.W.,
Frailty Models for the Estimation of Spatiotemporally Maximum Congested Impact Information on Freeway Accidents,
ITS(16), No. 4, August 2015, pp. 2104-2112.
IEEE DOI 1508
Accidents BibRef

Riveiro, M., Lebram, M., Elmer, M.,
Anomaly Detection for Road Traffic: A Visual Analytics Framework,
ITS(18), No. 8, August 2017, pp. 2260-2270.
IEEE DOI 1708
Accidents, Data mining, Data models, Data visualization, Roads, Vehicles, Visual analytics, Anomaly detection, intelligent transport systems, normal traffic model, visual, analytics BibRef

Yun, K.[Kimin], Yoo, Y.J.[Young-Joon], Choi, J.Y.[Jin Young],
Motion interaction field for detection of abnormal interactions,
MVA(28), No. 1-2, February 2017, pp. 157-171.
WWW Link. 1702
BibRef

Yoo, Y.J.[Young-Joon], Jeong, H.[Hawook], Kim, S.W.[Soo Wan], Choi, J.Y.[Jin Young],
Transfer Learning of Motion Patterns in Traffic Scene via Convex Optimization,
ICPR14(4158-4163)
IEEE DOI 1412
Linear programming BibRef

Yun, K.[Kimin], Jeong, H.[Hawook], Yi, K.M.[Kwang Moo], Kim, S.W.[Soo Wan], Choi, J.Y.[Jin Young],
Motion Interaction Field for Accident Detection in Traffic Surveillance Video,
ICPR14(3062-3067)
IEEE DOI 1412
Accidents BibRef

Liu, C.[Chun], Zhang, S.[Shuhang], Wu, H.[Hangbin], Fu, Q.A.[Qi-Ang],
A Dynamic Spatiotemporal Analysis Model for Traffic Incident Influence Prediction on Urban Road Networks,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Li, Z., Liu, P., Xu, C., Duan, H., Wang, W.,
Reinforcement Learning-Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks,
ITS(18), No. 11, November 2017, pp. 3204-3217.
IEEE DOI 1711
Adaptive control, Computational modeling, Heuristic algorithms, Optimization, Traffic control, Variable speed limit, BibRef

Li, Z., Liu, P., Wang, W., Xu, C.,
Development of a Control Strategy of Variable Speed Limits to Reduce Rear-End Collision Risks Near Freeway Recurrent Bottlenecks,
ITS(15), No. 2, April 2014, pp. 866-877.
IEEE DOI 1404
Computer crashes BibRef

Li, Y., Xu, C., Xing, L., Wang, W.,
Integrated Cooperative Adaptive Cruise and Variable Speed Limit Controls for Reducing Rear-End Collision Risks Near Freeway Bottlenecks Based on Micro-Simulations,
ITS(18), No. 11, November 2017, pp. 3157-3167.
IEEE DOI 1711
Adaptation models, Automobiles, Data models, Manuals, Safety, Traffic control, Cooperative adaptive cruise control, BibRef

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

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

Hollenstein, D.[Daria], Hess, M.[Martin], Jordan, D.[Denis], Bleisch, S.[Susanne],
Investigating Roundabout Properties and Bicycle Accident Occurrence at Swiss Roundabouts: A Logistic Regression Approach,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
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.[Jinhu], 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

Xu, M., Wu, J., Wang, H., Cao, M.,
Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization,
ITS(20), No. 12, December 2019, pp. 4704-4713.
IEEE DOI 2001
Roads, Anomaly detection, Trajectory, Anomaly detection, tensor factorization, sliding window, trajectory data 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.[Yanyan], Wang, Y.D.[Yan-Dong], Dong, S.[Shihai],
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.[Tianren],
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.[Ruimin],
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


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

Wei, J., Zhao, J., Zhao, Y., Zhao, Z.,
Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling,
City18(129-1297)
IEEE DOI 1812
Videos, Anomaly detection, Surveillance, Accidents, Training data, Task analysis 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).
HTML Version. 1311
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

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:Oct 19, 2020 at 15:02:28