Design of limited-stop service based on the degree of unbalance of passenger demand.

This paper presents a limited-stop service for a bus fleet to meet the unbalanced demand of passengers on a bus route and to improve the transit service of the bus route. This strategy includes two parts: a degree assessment of unbalanced passenger demand and an optimization of the limited-stop serv...

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Main Authors: Hu Zhang, Shuzhi Zhao, Huasheng Liu, Shidong Liang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5837195?pdf=render
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spelling doaj-67cb1120a4b741fcbe36980964a6b67f2020-11-25T01:24:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01133e019385510.1371/journal.pone.0193855Design of limited-stop service based on the degree of unbalance of passenger demand.Hu ZhangShuzhi ZhaoHuasheng LiuShidong LiangThis paper presents a limited-stop service for a bus fleet to meet the unbalanced demand of passengers on a bus route and to improve the transit service of the bus route. This strategy includes two parts: a degree assessment of unbalanced passenger demand and an optimization of the limited-stop service. The degree assessment of unbalanced passenger demand, which is based on the different passenger demand between stations and the unbalance of passengers within the station, is used to judge whether implementing the limited-stop service is necessary for a bus route. The optimization of limited-stop service considers the influence of stop skipping action and bus capacity on the left-over passengers to determine the proper skipping stations for the bus fleet serving the entire route by minimizing both the waiting time and in-vehicle time of passengers and the running time of vehicles. A solution algorithm based on genetic algorithm is also presented to evaluate the degree of unbalanced passenger demand and optimize the limited-stop scheme. Then, the proper strategy is tested on a bus route in Changchun city of China. The threshold of degree assessment of unbalanced passenger demand can be calibrated and adapted to different passenger demands.http://europepmc.org/articles/PMC5837195?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Hu Zhang
Shuzhi Zhao
Huasheng Liu
Shidong Liang
spellingShingle Hu Zhang
Shuzhi Zhao
Huasheng Liu
Shidong Liang
Design of limited-stop service based on the degree of unbalance of passenger demand.
PLoS ONE
author_facet Hu Zhang
Shuzhi Zhao
Huasheng Liu
Shidong Liang
author_sort Hu Zhang
title Design of limited-stop service based on the degree of unbalance of passenger demand.
title_short Design of limited-stop service based on the degree of unbalance of passenger demand.
title_full Design of limited-stop service based on the degree of unbalance of passenger demand.
title_fullStr Design of limited-stop service based on the degree of unbalance of passenger demand.
title_full_unstemmed Design of limited-stop service based on the degree of unbalance of passenger demand.
title_sort design of limited-stop service based on the degree of unbalance of passenger demand.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description This paper presents a limited-stop service for a bus fleet to meet the unbalanced demand of passengers on a bus route and to improve the transit service of the bus route. This strategy includes two parts: a degree assessment of unbalanced passenger demand and an optimization of the limited-stop service. The degree assessment of unbalanced passenger demand, which is based on the different passenger demand between stations and the unbalance of passengers within the station, is used to judge whether implementing the limited-stop service is necessary for a bus route. The optimization of limited-stop service considers the influence of stop skipping action and bus capacity on the left-over passengers to determine the proper skipping stations for the bus fleet serving the entire route by minimizing both the waiting time and in-vehicle time of passengers and the running time of vehicles. A solution algorithm based on genetic algorithm is also presented to evaluate the degree of unbalanced passenger demand and optimize the limited-stop scheme. Then, the proper strategy is tested on a bus route in Changchun city of China. The threshold of degree assessment of unbalanced passenger demand can be calibrated and adapted to different passenger demands.
url http://europepmc.org/articles/PMC5837195?pdf=render
work_keys_str_mv AT huzhang designoflimitedstopservicebasedonthedegreeofunbalanceofpassengerdemand
AT shuzhizhao designoflimitedstopservicebasedonthedegreeofunbalanceofpassengerdemand
AT huashengliu designoflimitedstopservicebasedonthedegreeofunbalanceofpassengerdemand
AT shidongliang designoflimitedstopservicebasedonthedegreeofunbalanceofpassengerdemand
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