Robust Optimal Control Method to Improve Bus Schedule Adherence Considering Stochastic Bus Operations under Mixed Traffic-Reference-Cited by-同舟云学术

Robust Optimal Control Method to Improve Bus Schedule Adherence Considering Stochastic Bus Operations under Mixed Traffic

Published:2024-03 Issue:1 Volume:10 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Liang Shidong¹^ORCID,Leng Rongmeng²,Li Qi³^ORCID,Shen Feng⁴

Affiliation:

1. Professor, Business School, Univ. of Shanghai for Science and Technology, Shanghai 200093, China (corresponding author). ORCID: .

2. Business School, Univ. of Shanghai for Science and Technology, Shanghai 200093, China.

3. Senior Engineer, Shanghai Electric Power Intelligent Systems Co., Ltd., Dianke Building, No. 507 Wuning Rd., Putuo District, Shanghai 200000, China. ORCID: .

4. Professor-Level Senior Engineer, Shanghai Electric Power Intelligent Systems Co., Ltd., Dianke Building, No. 507 Wuning Rd., Putuo District, Shanghai 200000, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1156

Reference33 articles.

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3. Alesiani F. and K. Gkiotsalitis. 2018. “Reinforcement learning-based bus holding for high-frequency services.” In Proc. 21st IEEE Int. Conf. on Intelligent Transportation Systems (ITSC) 3162–3168. New York: IEEE.

4. Effect of transit signal priority on bus service reliability

5. A predictive-control framework to address bus bunching