Li, Y.[Ye],
Li, B.[Bo],
Tian, B.[Bin],
Yao, Q.M.[Qing-Ming],
Vehicle Detection Based on the and-or Graph for
Congested Traffic Conditions,
ITS(14), No. 2, 2013, pp. 984-993.
IEEE DOI occlusion problem; vehicle detection
1307
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
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
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, 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
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 Khan
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.Y.[Jin-Yu],
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
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
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
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
Seong, J.C.[Jeong Chang],
Lee, S.[Seungyeon],
Cho, Y.[Yoonjae],
Hwang, C.[Chulsue],
Beyond the Road: A Regional Perspective on Traffic Congestion in
Metro Atlanta,
IJGI(14), No. 2, 2025, pp. 61.
DOI Link
2502
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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
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
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Traffic Signal Control, Traffic Analysis, Not Image Analysis .