Cooperative weaving for connected and automated vehicles to reduce traffic oscillation-Reference-Cited by-同舟云学术

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Cooperative weaving for connected and automated vehicles to reduce traffic oscillation

Published:2019-07-25 Issue: Volume: Page:1-19
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Bai Yu¹,Zhang Yu¹²,Li Xin³,Hu Jia¹

Affiliation:

1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, People's Republic of China

2. Civil Engineering and Geoscience, Delft University of Technology, Delft, the Netherlands

3. College of Transportation Engineering, Dalian Maritime University, Dalian, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2019.1645758

Reference27 articles.

1. Capacity-drop at extended bottlenecks: Merge, diverge, and weave

2. INTEGRATED BRAKING AND STEERING MODEL PREDICTIVE CONTROL APPROACH IN AUTONOMOUS VEHICLES

3. A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method

4. Modelling lane changing and merging in microscopic traffic simulation

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3. Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approach;Physica A: Statistical Mechanics and its Applications;2023-11

4. A centralized relaxation strategy for cooperative lane change in a connected environment;Physica A: Statistical Mechanics and its Applications;2023-08

5. Traffic efficiency and fairness optimisation for autonomous intersection management based on reinforcement learning;Transportmetrica A: Transport Science;2023-07-19

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