Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control

In recent years, with the development of advanced technologies for data collection, real-time bus control strategies have been implemented to improve the daily operation of transit systems, especially headway-based holding control which is a proven strategy to reduce bus bunching and improve service...

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Main Authors: Shidong Liang, Minghui Ma, Shengxue He
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2019/2452348
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spelling doaj-3a39ff4dcb54427a8f3df93cc976bbe12020-11-25T00:48:18ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/24523482452348Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding ControlShidong Liang0Minghui Ma1Shengxue He2Institute: Business School, University of Shanghai for Science and Technology, ChinaInstitute: College of Automobile Engineering, Shanghai University of Engineering Science, ChinaInstitute: Business School, University of Shanghai for Science and Technology, ChinaIn recent years, with the development of advanced technologies for data collection, real-time bus control strategies have been implemented to improve the daily operation of transit systems, especially headway-based holding control which is a proven strategy to reduce bus bunching and improve service reliability for high-frequency bus routes, with the concept of regulating headways between successive buses. This hot topic has inspired the reconsideration of the traditional issue of fleet size optimization and the integrated bus holding control strategy. The traditional headway-based control method only focused on the regulation of bus headways, without considering the number of buses on the route. The number of buses is usually assumed as a given in advance and the task of the control method is to regulate the headways between successive buses. They did not consider the bus fleet size problem integrated with headway-based holding control method. Therefore, this work has presented a set of optimal control formulations to minimize the costs for the passengers and the bus company through calculating the optimal number of buses and the dynamic holding time, taking into account the randomness of passenger arrivals. A set of equations were formulated to obtain the operation of the buses with headway-based holding control or the schedule-based control method. The objective was to minimize the total cost for the passengers and the bus company in the system, and a Monte Carlo simulation based solution method was subsequently designed to solve the optimization model. The effects of this optimization method were tested under different operational settings. A comparison of the total costs was conducted between the headway-based holding control and the schedule-based holding control. It was found that the model was capable of reducing the costs of the bus company and passengers through utilizing headway-based bus holding control combined with optimization of the bus fleet size. The proposed optimization model could minimize the number of buses on the route for a guaranteed service level, alleviating the problem of redundant bus fleet sizes caused by bus bunching in the traditional schedule-based control method.http://dx.doi.org/10.1155/2019/2452348
collection DOAJ
language English
format Article
sources DOAJ
author Shidong Liang
Minghui Ma
Shengxue He
spellingShingle Shidong Liang
Minghui Ma
Shengxue He
Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control
Journal of Advanced Transportation
author_facet Shidong Liang
Minghui Ma
Shengxue He
author_sort Shidong Liang
title Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control
title_short Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control
title_full Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control
title_fullStr Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control
title_full_unstemmed Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control
title_sort multiobjective optimal formulations for bus fleet size of public transit under headway-based holding control
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2019-01-01
description In recent years, with the development of advanced technologies for data collection, real-time bus control strategies have been implemented to improve the daily operation of transit systems, especially headway-based holding control which is a proven strategy to reduce bus bunching and improve service reliability for high-frequency bus routes, with the concept of regulating headways between successive buses. This hot topic has inspired the reconsideration of the traditional issue of fleet size optimization and the integrated bus holding control strategy. The traditional headway-based control method only focused on the regulation of bus headways, without considering the number of buses on the route. The number of buses is usually assumed as a given in advance and the task of the control method is to regulate the headways between successive buses. They did not consider the bus fleet size problem integrated with headway-based holding control method. Therefore, this work has presented a set of optimal control formulations to minimize the costs for the passengers and the bus company through calculating the optimal number of buses and the dynamic holding time, taking into account the randomness of passenger arrivals. A set of equations were formulated to obtain the operation of the buses with headway-based holding control or the schedule-based control method. The objective was to minimize the total cost for the passengers and the bus company in the system, and a Monte Carlo simulation based solution method was subsequently designed to solve the optimization model. The effects of this optimization method were tested under different operational settings. A comparison of the total costs was conducted between the headway-based holding control and the schedule-based holding control. It was found that the model was capable of reducing the costs of the bus company and passengers through utilizing headway-based bus holding control combined with optimization of the bus fleet size. The proposed optimization model could minimize the number of buses on the route for a guaranteed service level, alleviating the problem of redundant bus fleet sizes caused by bus bunching in the traditional schedule-based control method.
url http://dx.doi.org/10.1155/2019/2452348
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