Adaptive green split optimization for traffic control with low penetration rate trajectory data-Reference-Cited by-同舟云学术

Adaptive green split optimization for traffic control with low penetration rate trajectory data

Published:2023-08-07 Issue: Volume: Page:1-16
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Wang Zihao¹^ORCID,Lloret-Batlle Roger²^ORCID,Zheng Jianfeng³,Liu Henry X.¹⁴⁵^ORCID

Affiliation:

1. Civil and Environmental Engineering, University of MI, Ann Arbor, MI, USA

2. Ningbo China Institute for Supply Chain Innovation, MIT Global SCALE Network, Ningbo, Zhejiang, China

3. Xiongan Digital Transportation Lab, Baoding, China

4. University of Michigan Transportation Research Institute, Ann Arbor, MI, USA

5. Mcity, University of Michigan, Ann Arbor, MI, USA

Funder

Ministry of Science and Technology of the People’s Republic of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2023.2227959

Reference27 articles.

1. DiDi (2021). DiDi homepage. https://www.didiglobal.com/about-special/milestone

2. A simple crowdsourced delay-based traffic signal control

3. A real-time adaptive signal control in a connected vehicle environment

4. Real-Time Detector-Free Adaptive Signal Control with Low Penetration of Connected Vehicles

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