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Publication search results
found 1,064 matches
- 2024
- Assemgul Kozhabek, Wei Koong Chai, Ge Zheng:
Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model. IEEE Access 12: 35813-35826 (2024) - Bowie Liu, Chan-Tong Lam, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im:
A Graph-Based Framework for Traffic Forecasting and Congestion Detection Using Online Images From Multiple Cameras. IEEE Access 12: 3756-3767 (2024) - Alexander Roocroft, Muhamad Azfar Ramli, Giuliano Punzo:
Data-Driven Traffic Assignment Through Density-Based Road-Specific Congestion Function Estimation. IEEE Access 12: 192-205 (2024) - Tong Zhang, Jianlong Wang, Tong Wang, Yiwei Pang, Peixiao Wang, Wangshu Wang:
A deep marked graph process model for citywide traffic congestion forecasting. Comput. Aided Civ. Infrastructure Eng. 39(8): 1180-1196 (2024) - Daniel Ramos, Oscar Esparza, Jorge Mata-Díaz, Juanjo Alins:
Evaluation of TCP Congestion Control Algorithms with traffic control policies in a PEP-based geosynchronous satellite scenario. Comput. Networks 239: 110131 (2024) - Manoj Kumar, Kranti Kumar:
Traffic Congestion Prediction Using Feature Series LSTM Neural Network and a New Congestion Index. Int. J. Artif. Intell. Tools 33(2): 2350067:1-2350067:26 (2024) - Dong Jiang, Wenji Zhao, Yanhui Wang, Biyu Wan:
A Spatiotemporal Hierarchical Analysis Method for Urban Traffic Congestion Optimization Based on Calculation of Road Carrying Capacity in Spatial Grids. ISPRS Int. J. Geo Inf. 13(2): 59 (2024) - LeCheng Li, Fei Dai, Bi Huang, Shuai Wang, Wanchun Dou, Xiaodong Fu:
AST3DRNet: Attention-Based Spatio-Temporal 3D Residual Neural Networks for Traffic Congestion Prediction. Sensors 24(4): 1261 (2024) - Anuj Sachan, Neetesh Kumar:
SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion. ACM Trans. Internet Techn. 24(1): 7:1-7:25 (2024) - Danfeng Shan, Linbing Jiang, Peng Zhang, Wanchun Jiang, Hao Li, Yazhe Tang, Fengyuan Ren:
Enforcing Fairness in the Traffic Policer Among Heterogeneous Congestion Control Algorithms. IEEE/ACM Trans. Netw. 32(1): 34-49 (2024) - Harvinder Lehal, Natchanon Luangsomboon, Jörg Liebeherr:
Network Calculus Characterization of Congestion Control for Time-Varying Traffic. CoRR abs/2403.15303 (2024) - Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion. CoRR abs/2403.19831 (2024) - 2023
- Tianrui Zhang, Jianan Xu, Sirui Cong, Chuansheng Qu, Weibo Zhao:
A Hybrid Method of Traffic Congestion Prediction and Control. IEEE Access 11: 36471-36491 (2023) - Maycon L. M. Peixoto, Edson Mota, Adriano H. O. Maia, Wellington Lobato, Mohammad A. Salahuddin, Raouf Boutaba, Leandro A. Villas:
FogJam: A Fog Service for Detecting Traffic Congestion in a Continuous Data Stream VANET. Ad Hoc Networks 140: 103046 (2023) - Ardavan Babaei, Majid Khedmati, Mohammad Reza Akbari Jokar:
A new branch and efficiency algorithm for an optimal design of the supply chain network in view of resilience, inequity and traffic congestion. Ann. Oper. Res. 321(1): 49-78 (2023) - Wai Man Tang, Ka Fai Cedric Yiu, Kit Yan Chan, Kai Zhang:
Conjoining congestion speed-cycle patterns and deep learning neural network for short-term traffic speed forecasting. Appl. Soft Comput. 138: 110154 (2023) - Shang Jiang, Mehdi Keyvan-Ekbatani, Dong Ngoduy:
Partitioning of urban networks with polycentric congestion pattern for traffic management policies: Identifying protected networks. Comput. Aided Civ. Infrastructure Eng. 38(4): 508-527 (2023) - Hui Hu, Chaofeng Chen, Mengyuan Liu, Yihan Fu, Jiao Zhao, Zhiyu Feng:
Corrigendum to "Two-Stage emergency material scheduling based on benders decomposition considering traffic congestion after a disaster" [Comput. Ind. Eng. 174 (2022) 108571]. Comput. Ind. Eng. 179: 109204 (2023) - Hongyuan Luo, Mahjoub Dridi, Olivier Grunder:
A branch-price-and-cut algorithm for a time-dependent green vehicle routing problem with the consideration of traffic congestion. Comput. Ind. Eng. 177: 109093 (2023) - Xue Xing, Xiaoyu Li:
Recommendation of urban vehicle driving routes under traffic congestion: A traffic congestion regulation method considering road network equilibrium. Comput. Electr. Eng. 110: 108863 (2023) - Mohammad Bawaneh, Vilmos Simon:
Novel traffic congestion detection algorithms for smart city applications. Concurr. Comput. Pract. Exp. 35(5) (2023) - Pouria Karimi Shahri, Baisravan HomChaudhuri, Srinivas S. Pulugurtha, Ali Mesbah, Amir H. Ghasemi:
Traffic Congestion Control Using Distributed Extremum Seeking and Filtered Feedback Linearization Control Approaches. IEEE Control. Syst. Lett. 7: 1003-1008 (2023) - Yufeng He, Barbara Hofer, Yehua Sheng, Yue Yin, Hui Lin:
Processes and events in the center: a taxi trajectory-based approach to detecting traffic congestion and analyzing its causes. Int. J. Digit. Earth 16(1): 509-531 (2023) - Ertugrul Bayraktar, Burla Nur Korkmaz, Aras Umut Erarslan, Numan Çelebi:
Traffic congestion-aware graph-based vehicle rerouting framework from aerial imagery. Eng. Appl. Artif. Intell. 119: 105769 (2023) - Lekai Zhang, Yingfan Wang, Kailun He, Hailong Zhang, Baixi Xing, Xiaofeng Liu, Fo Hu:
The power of humorous audio: exploring emotion regulation in traffic congestion through EEG-based study. EURASIP J. Audio Speech Music. Process. 2023(1): 34 (2023) - Ardavan Babaei, Majid Khedmati, Mohammad Reza Akbari Jokar, Erfan Babaee Tirkolaee:
Sustainable transportation planning considering traffic congestion and uncertain conditions. Expert Syst. Appl. 227: 119792 (2023) - Srishti Dikshit, Areeba Atiq, Mohammad Shahid, Vinay Dwivedi, Aarushi Thusu:
The Use of Artificial Intelligence to Optimize the Routing of Vehicles and Reduce Traffic Congestion in Urban Areas. EAI Endorsed Trans. Energy Web 10 (2023) - Haoyi Xiong, Xun Zhou, David A. Bennett:
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data. Int. J. Geogr. Inf. Sci. 37(5): 1157-1179 (2023) - Xing Wang, Ruihao Zeng, Fumin Zou, Lyuchao Liao, Faliang Huang:
STTF: An Efficient Transformer Model for Traffic Congestion Prediction. Int. J. Comput. Intell. Syst. 16(1): 2 (2023) - Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim, Ana Stanescu:
Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas. ISPRS Int. J. Geo Inf. 12(3): 130 (2023)
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