Adaptive traffic signal control algorithms based on probe vehicle data-Reference-Cited by-同舟云学术

Adaptive traffic signal control algorithms based on probe vehicle data

Published:2020-05-18 Issue:1 Volume:25 Page:41-57
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Lian Fushi¹²,Chen Bokui²³⁴^ORCID,Zhang Kai²,Miao Lixin²⁵^ORCID,Wu Jinchao²,Luan Shichao¹

Affiliation:

1. Department of Aviation Management Science and Engineering, China Aero Polytechnology Establishment, Beijing, China

2. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

3. School of Economics and Management, East China Jiaotong University, Nanchang, China

4. School of Computing, National University of Singapore, Singapore, Singapore

5. Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China

Funder

National 135 Key R & D Program Projects

Tsinghua Natural Science Foundation

Science and Technology Innovation Committee of Shenzhen

Grab-NUS AI Lab, a joint collaboration between GrabTaxi Holdings Pte. Ltd. and National University of Singapore

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/10.1080/15472450.2020.1750384

Reference42 articles.

1. Real-Time Offset Transitioning Algorithm for Coordinating Traffic Signals

2. Adaptive traffic signal control using approximate dynamic programming

3. A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles

4. Effects of traffic lights for Manhattan-like urban traffic network inintelligent transportation systems

5. Segment travel time route guidance strategy in advanced traveler information systems

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