Special issue on Methodological Advancements in Understanding and Managing Urban Traffic Congestion-Reference-Cited by-同舟云学术

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Special issue on Methodological Advancements in Understanding and Managing Urban Traffic Congestion

Published:2021-02-22 Issue: Volume: Page:1-4
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Zhong Renxin¹,He Zhengbing²^ORCID,Chow Andy H.F.³,Knoop Victor⁴^ORCID

Affiliation:

1. School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China;

2. College of Metropolitan Transportation, Beijing University of Technology, Beijing, China;

3. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China;

4. Department of Transport & Planning, Delft University of Technology, The Netherlands.

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2021.1894266

Reference8 articles.

1. Cooperative weaving for connected and automated vehicles to reduce traffic oscillation

2. Credit- and permit-based travel demand management state-of-the-art methodological advances

3. Modeling travel time volatility using copula-based Monte Carlo simulation method for probabilistic traffic prediction

4. Nonnegative tensor decomposition for urban mobility analysis and applications with mobile phone data

5. Fare incentive strategies for managing peak-hour congestion in urban rail transit networks

Cited by 2 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. Platoon or Individual: An Adaptive Car-Following Control of Connected and Automated Vehicles;2024

2. Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning;Transportmetrica A: Transport Science;2023-05-25

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