Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity

<strong> </strong>Understanding the nature of rail transit dwell time has potential benefits for both the users and the operators. Crowded passenger trains cause longer dwell times and may prevent some passengers from boarding the first available train that arrives. Actual dwell time and...

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Main Authors: Zhibin Jiang, Chao Xie, Tingting Ji, Xiaolei Zou
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2015-04-01
Series:Promet (Zagreb)
Subjects:
Online Access:http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1487
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spelling doaj-791c6ca5d59340859b1a07f4f001549b2020-11-24T20:56:11ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692015-04-0127212513510.7307/ptt.v27i2.14871188Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train CapacityZhibin JiangChao XieTingting JiXiaolei Zou<strong> </strong>Understanding the nature of rail transit dwell time has potential benefits for both the users and the operators. Crowded passenger trains cause longer dwell times and may prevent some passengers from boarding the first available train that arrives. Actual dwell time and the process of passenger alighting and boarding are interdependent through the sequence of train stops and propagated delays. A comprehensive and feasible dwell time simulation model was developed and optimized to address the problems associated with scheduled timetables. The paper introduces the factors that affect dwell time in urban rail transit systems, including train headway, the process and number of passengers alighting and boarding the train, and the inability of train doors to properly close the first time because of overcrowded vehicles. Finally, based on a time-driven micro-simulation system, Shanghai rail transit Line 8 is used as an example to quantify the feasibility of scheduled dwell times for different stations, directions of travel and time periods, and a proposed dwell time during peak hours in several crowded stations is presented according to the simulation results.http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1487dwell timetrain capacitytrain delaytimetable simulationrail transitpassenger volume
collection DOAJ
language English
format Article
sources DOAJ
author Zhibin Jiang
Chao Xie
Tingting Ji
Xiaolei Zou
spellingShingle Zhibin Jiang
Chao Xie
Tingting Ji
Xiaolei Zou
Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity
Promet (Zagreb)
dwell time
train capacity
train delay
timetable simulation
rail transit
passenger volume
author_facet Zhibin Jiang
Chao Xie
Tingting Ji
Xiaolei Zou
author_sort Zhibin Jiang
title Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity
title_short Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity
title_full Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity
title_fullStr Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity
title_full_unstemmed Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity
title_sort dwell time modelling and optimized simulations for crowded rail transit lines based on train capacity
publisher University of Zagreb, Faculty of Transport and Traffic Sciences
series Promet (Zagreb)
issn 0353-5320
1848-4069
publishDate 2015-04-01
description <strong> </strong>Understanding the nature of rail transit dwell time has potential benefits for both the users and the operators. Crowded passenger trains cause longer dwell times and may prevent some passengers from boarding the first available train that arrives. Actual dwell time and the process of passenger alighting and boarding are interdependent through the sequence of train stops and propagated delays. A comprehensive and feasible dwell time simulation model was developed and optimized to address the problems associated with scheduled timetables. The paper introduces the factors that affect dwell time in urban rail transit systems, including train headway, the process and number of passengers alighting and boarding the train, and the inability of train doors to properly close the first time because of overcrowded vehicles. Finally, based on a time-driven micro-simulation system, Shanghai rail transit Line 8 is used as an example to quantify the feasibility of scheduled dwell times for different stations, directions of travel and time periods, and a proposed dwell time during peak hours in several crowded stations is presented according to the simulation results.
topic dwell time
train capacity
train delay
timetable simulation
rail transit
passenger volume
url http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1487
work_keys_str_mv AT zhibinjiang dwelltimemodellingandoptimizedsimulationsforcrowdedrailtransitlinesbasedontraincapacity
AT chaoxie dwelltimemodellingandoptimizedsimulationsforcrowdedrailtransitlinesbasedontraincapacity
AT tingtingji dwelltimemodellingandoptimizedsimulationsforcrowdedrailtransitlinesbasedontraincapacity
AT xiaoleizou dwelltimemodellingandoptimizedsimulationsforcrowdedrailtransitlinesbasedontraincapacity
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