A bi-Hierarchical Game-Theoretic Approach for Network-Wide Traffic Signal Control Using Trip-Based Data-Reference-Cited by-同舟云学术

A bi-Hierarchical Game-Theoretic Approach for Network-Wide Traffic Signal Control Using Trip-Based Data

Published:2022-09 Issue:9 Volume:23 Page:15408-15419
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhu Yiting¹^ORCID,He Zhaocheng¹^ORCID,Li Guilong¹

Affiliation:

1. Guangdong Provincial Key Laboratory of Intelligent Transportation Systems, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China

Funder

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9893028/09681232.pdf?arnumber=9681232

Reference31 articles.

1. Mesoscopic modeling and simulation of mixed traffic flow of buses and vehicles;zhu;J Syst Simul,2021

2. A deep reinforcement learning approach to adaptive traffic lights management;lu;Proc 20th Workshop ‘From Objects Agents’,2019

3. A Bayesian mixture model for short-term average link travel time estimation using large-scale limited information trip-based data

4. Learning trajectories as words

5. A Multi-Objective Agent-Based Control Approach With Application in Intelligent Traffic Signal System

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