Trajectory Jerking Suppression for Mixed Traffic Flow at a Signalized Intersection: A Trajectory Prediction Based Deep Reinforcement Learning Method-Reference-Cited by-同舟云学术

Trajectory Jerking Suppression for Mixed Traffic Flow at a Signalized Intersection: A Trajectory Prediction Based Deep Reinforcement Learning Method

Published:2022-10 Issue:10 Volume:23 Page:18989-19000
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wang Shupei¹^ORCID,Wang Ziyang²^ORCID,Jiang Rui²^ORCID,Yan Ruidong¹,Du Lei³

Affiliation:

1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

2. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, China

3. DiDi Global Inc., Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09723012.pdf?arnumber=9723012

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5. Connected autonomous vehicles for improving mixed traffic efficiency in unsignalized intersections with deep reinforcement learning

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