Control strategies for solving the problem of traffic congestion-Reference-Cited by-同舟云学术

Control strategies for solving the problem of traffic congestion

Published:2016-09-27 Issue:10 Volume:10 Page:642-648
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Huang Yi‐Sheng¹,Weng Yi‐Shun²,Wu Weimin³,Chen Bo‐Yang¹

Affiliation:

1. Department of Electrical EngineeringNational Ilan UniversityIlan CityTaiwan

2. Department of Electronic EngineeringArmy AcademyZhongli CityTaiwan

3. State Key Laboratory of Industrial Control Technology and Institute of Cyber‐Systems and ControlZhejiang UniversityHangzhou310027China

Funder

Ministry of Science and Technology, Taiwan

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2016.0003

Reference23 articles.

1. The conceptual structure of traffic jams;Wright C.;Transp. Policy,1998

2. Distributed strategy for eliminating incident‐based traffic jams from urban networks;Roberg P.;Traffic Eng. Control,1995

3. Traffic jam simulation;Roberg‐Orenstein P.;J. Maps,2007

4. Control Strategies for Dispersing Incident-Based Traffic Jams in Two-Way Grid Networks

5. FigueiredoL.JesusI.Tenreiro MachadoJ.A.et al.: ‘Towards the development of intelligent transportation systems’.Proc. of IEEE Intelligent Transportation Systems August 2001 pp.1206–1211

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulation Analysis and Model Modification of the LWR Traffic Flow Theory;2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO);2024-05-20

2. A unified dataset for the city-scale traffic assignment model in 20 U.S. cities;Scientific Data;2024-03-29

3. Combining multi-agent deep deterministic policy gradient and rerouting technique to improve traffic network performance under mixed traffic conditions;SIMULATION;2024-03-22

4. Planning of Urban Freight Delivery During Peak and Off-Peak Traffic Periods;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

5. Simulation and Analysis of Urban Traffic Congestions by Using Cell Transmission Model;2023 IEEE International Conference on Networking, Sensing and Control (ICNSC);2023-10-25