16.7.2.5.9 Traffic Accidents, Analysis, Congestion, Not Image Analysis

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

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

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

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

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.[Qingying], Luo, Y.[Yonglong], Chen, C.[Chuanming], Zheng, X.[Xiaoyao],
Road Congestion Detection Based on Trajectory Stay-Place Clustering,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
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

Mallah, R.A.[R. Al], 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


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

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

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:May 19, 2020 at 11:55:09