Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and Analysis

This paper develops two types of estimation models to quantify the impacts of carriage crowding level on bus dwell time. The first model (model I) takes the crowding level and the number of alighting and boarding passengers into consideration and estimates the alighting time and boarding time, respe...

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Main Authors: Yiming Bie, Yunhao Wang, Le Zhang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/6530530
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author Yiming Bie
Yunhao Wang
Le Zhang
author_facet Yiming Bie
Yunhao Wang
Le Zhang
author_sort Yiming Bie
collection DOAJ
description This paper develops two types of estimation models to quantify the impacts of carriage crowding level on bus dwell time. The first model (model I) takes the crowding level and the number of alighting and boarding passengers into consideration and estimates the alighting time and boarding time, respectively. The second model (model II) adopts almost the same regression method, except that the impact of crowding on dwell time is neglected. The analysis was conducted along two major bus routes in Harbin, China, by collecting 640 groups of dwell times under crowded condition manually. Compared with model II, the mean absolute error (MAE) of model I is reduced by 137.51%, which indicates that the accuracy of bus dwell time estimation could be highly improved by introducing carriage crowding level into the model. Meanwhile, the MAE of model I is about 3.9 seconds, which is acceptable in travel time estimation and bus schedule.
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issn 0197-6729
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publishDate 2020-01-01
publisher Wiley
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series Journal of Advanced Transportation
spelling doaj-art-b692c585abc744e4a1cbacb416d503592025-08-20T02:23:11ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/65305306530530Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and AnalysisYiming Bie0Yunhao Wang1Le Zhang2School of Transportation, Jilin University, Changchun 130022, ChinaSchool of Mathematics and Statistics, Northeast Normal University, Changchun 130024, ChinaDepartment of Architecture and Civil Engineering, Chalmers University of Technology, Göteborg 412 96, SwedenThis paper develops two types of estimation models to quantify the impacts of carriage crowding level on bus dwell time. The first model (model I) takes the crowding level and the number of alighting and boarding passengers into consideration and estimates the alighting time and boarding time, respectively. The second model (model II) adopts almost the same regression method, except that the impact of crowding on dwell time is neglected. The analysis was conducted along two major bus routes in Harbin, China, by collecting 640 groups of dwell times under crowded condition manually. Compared with model II, the mean absolute error (MAE) of model I is reduced by 137.51%, which indicates that the accuracy of bus dwell time estimation could be highly improved by introducing carriage crowding level into the model. Meanwhile, the MAE of model I is about 3.9 seconds, which is acceptable in travel time estimation and bus schedule.http://dx.doi.org/10.1155/2020/6530530
spellingShingle Yiming Bie
Yunhao Wang
Le Zhang
Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and Analysis
Journal of Advanced Transportation
title Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and Analysis
title_full Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and Analysis
title_fullStr Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and Analysis
title_full_unstemmed Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and Analysis
title_short Impact of Carriage Crowding Level on Bus Dwell Time: Modelling and Analysis
title_sort impact of carriage crowding level on bus dwell time modelling and analysis
url http://dx.doi.org/10.1155/2020/6530530
work_keys_str_mv AT yimingbie impactofcarriagecrowdinglevelonbusdwelltimemodellingandanalysis
AT yunhaowang impactofcarriagecrowdinglevelonbusdwelltimemodellingandanalysis
AT lezhang impactofcarriagecrowdinglevelonbusdwelltimemodellingandanalysis