Deep reinforcement learning for transit signal priority in a connected environment-Reference-Cited by-同舟云学术

Deep reinforcement learning for transit signal priority in a connected environment

Published:2022-09 Issue: Volume:142 Page:103814
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Long Meng,Zou Xiexin,Zhou Yue,Chung Edward

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference45 articles.

1. A value proposition of cooperative bus-holding transit signal priority strategy in connected and automated vehicles environment;Abdelhalim;IEEE Trans. Intell. Transp. Syst.,2021

2. Multimodal iNtelligent Deep (MiND) traffic signal controller;Alizadeh Shabestray,2019

3. Using delay functions to evaluate transit priority at signals;Bagherian;Public Transport,2015

4. Integrating bus priority and presignal method at signalized intersection: algorithm development and evaluation;Bie;J. Transport. Eng. Part A: Syst.,2020

5. Arterial traffic signal optimization: a person-based approach;Christofa;Transport. Res. Part C: Emerg. Technol.,2016

Cited by 16 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. OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles;Transportation Research Part C: Emerging Technologies;2024-09

2. A survey on reinforcement learning-based control for signalized intersections with connected automated vehicles;Transport Reviews;2024-07-17

3. A robust integrated multi-strategy bus control system via deep reinforcement learning;Engineering Applications of Artificial Intelligence;2024-07

4. HumanLight: Incentivizing ridesharing via human-centric deep reinforcement learning in traffic signal control;Transportation Research Part C: Emerging Technologies;2024-05

5. Passenger‐based adaptive transit signal priority for BRT systems with multiple loading areas;IET Intelligent Transport Systems;2024-03-11