Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36084
Title: Simulation Evaluation of Threshold-Based Bus Control Strategy Under the Mixed Traffic Condition
Authors: Huang, Qingxia
Jia, Bin
Qiang, Shengjie
Jiang
LIU, Feng 
Gao, Ziyou
Issue Date: 2021
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Source: IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 13 (4) , p. 179 -195
Abstract: Implementing operational strategies is a sustainable and effective way for providing good bus serviceability, but the effects of the strategies on other traffic participants, e.g., cars, have drawn little attention. This paper thus aims to explore the effects of the mutual interference between buses and private cars, when applying a bus control strategy to a regular transit line. Three threshold-based strategies are compared, including (a) holding control (HC); (b) limited boarding control (LBC) and (c) holding combined with limited boarding control (H-LBC). A cellular automaton based model is proposed to depict the interaction between cars and buses, and the model parameters are calibrated using data collected from a real-life bus route in Beijing, China. The control strategies are evaluated by their benefits for three stakeholders involved in the system, including passengers, bus operator and car drivers. Simulation results show that a good bus control strategy does not only improve the efficiencies of bus operating and passenger travel, but also speed up the car running by alleviating traffic congestion. In turn, the car volume is an important factor when setting the optimal parameter for control strategies. Moreover, the comparison suggests that H-LBC outperforms the other two strategies in improving the service level for passengers, buses as well as cars, especially under crowded scenarios.
Notes: Jia, B (corresponding author), Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China.
14114199@bjtu.edu.cn; bjia@bjtu.edu.cn; qiangshengjie@gmail.com;
jiangrui@bjtu.edu.cn; fengliu@uhasselt.be; zygao@bjtu.edu.cn
Keywords: Public transportation; Real-time systems; Vehicle dynamics; Automata;;Data models; Reliability
Document URI: http://hdl.handle.net/1942/36084
ISSN: 1939-1390
e-ISSN: 1941-1197
DOI: 10.1109/MITS.2019.2926253
ISI #: WOS:000714634000024
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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