A novel control strategy in mitigating bus bunching: utilizing real-time information

A variety of control mechanisms have been recommended to concentrate on the issue of bus bunching. However, the majority of existing measures focus on controlling the bus operation directly from the operator's perspective. This study, nevertheless, presents a novel control technique by providin...

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Main Authors: Zhou, Chang, Tian, Qiong, Wang, David Zhi Wei
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/162356
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1623562022-10-17T02:11:11Z A novel control strategy in mitigating bus bunching: utilizing real-time information Zhou, Chang Tian, Qiong Wang, David Zhi Wei School of Civil and Environmental Engineering Engineering::Civil engineering Information Provision Congestion Information A variety of control mechanisms have been recommended to concentrate on the issue of bus bunching. However, the majority of existing measures focus on controlling the bus operation directly from the operator's perspective. This study, nevertheless, presents a novel control technique by providing passengers with real-time wait time information and degrees of in-vehicle congestion. Specifically, passengers are expected to use the given information to calculate the overall travel cost and, therefore, make decisions on whether boarding on the arriving bus or waiting for the next buses. In this way, bus service operators would reduce bus bunching by adjusting passengers' boarding choice behavior rather than controlling the bus vehicles directly. We propose a bus traffic propagation model to simulate the bus movements, through which several system performance metrics, such as the shortest vehicle spacing distribution and the average ridership per bus vehicle at each stop, can be evaluated for different bus bunching control measures. The numerical results show that providing in-vehicle congestion information is as effective as the schedule-based and headway-based control methods in achieving mitigation of bus bunching. Passengers on long trips are more inclined to wait for a few more shifts for a bus that is not very crowded. This study proposes a novel control strategy by offering passengers real-time information to serve as a supplement, never a substitute, to the existing control measures in mitigating bus bunching problems. Ministry of Education (MOE) The study was funded by the National Natural Science Foundation of China (No. 72071013, 71890971/71890970) and the Singapore Ministry of Education (MOE) AcRF Tier 1 Grant MOE2021-T1-002-062. 2022-10-17T02:11:11Z 2022-10-17T02:11:11Z 2022 Journal Article Zhou, C., Tian, Q. & Wang, D. Z. W. (2022). A novel control strategy in mitigating bus bunching: utilizing real-time information. Transport Policy, 123, 1-13. https://dx.doi.org/10.1016/j.tranpol.2022.04.022 0967-070X https://hdl.handle.net/10356/162356 10.1016/j.tranpol.2022.04.022 2-s2.0-85129955887 123 1 13 en MOE2021-T1-002-062 Transport Policy © 2022 Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Information Provision
Congestion Information
spellingShingle Engineering::Civil engineering
Information Provision
Congestion Information
Zhou, Chang
Tian, Qiong
Wang, David Zhi Wei
A novel control strategy in mitigating bus bunching: utilizing real-time information
description A variety of control mechanisms have been recommended to concentrate on the issue of bus bunching. However, the majority of existing measures focus on controlling the bus operation directly from the operator's perspective. This study, nevertheless, presents a novel control technique by providing passengers with real-time wait time information and degrees of in-vehicle congestion. Specifically, passengers are expected to use the given information to calculate the overall travel cost and, therefore, make decisions on whether boarding on the arriving bus or waiting for the next buses. In this way, bus service operators would reduce bus bunching by adjusting passengers' boarding choice behavior rather than controlling the bus vehicles directly. We propose a bus traffic propagation model to simulate the bus movements, through which several system performance metrics, such as the shortest vehicle spacing distribution and the average ridership per bus vehicle at each stop, can be evaluated for different bus bunching control measures. The numerical results show that providing in-vehicle congestion information is as effective as the schedule-based and headway-based control methods in achieving mitigation of bus bunching. Passengers on long trips are more inclined to wait for a few more shifts for a bus that is not very crowded. This study proposes a novel control strategy by offering passengers real-time information to serve as a supplement, never a substitute, to the existing control measures in mitigating bus bunching problems.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Zhou, Chang
Tian, Qiong
Wang, David Zhi Wei
format Article
author Zhou, Chang
Tian, Qiong
Wang, David Zhi Wei
author_sort Zhou, Chang
title A novel control strategy in mitigating bus bunching: utilizing real-time information
title_short A novel control strategy in mitigating bus bunching: utilizing real-time information
title_full A novel control strategy in mitigating bus bunching: utilizing real-time information
title_fullStr A novel control strategy in mitigating bus bunching: utilizing real-time information
title_full_unstemmed A novel control strategy in mitigating bus bunching: utilizing real-time information
title_sort novel control strategy in mitigating bus bunching: utilizing real-time information
publishDate 2022
url https://hdl.handle.net/10356/162356
_version_ 1749179133447897088