Research on Optimization of Multi-Objective Regional Public Transportation Scheduling

The optimization of bus scheduling is a key method to improve bus service. So, the purpose of this paper is to address the regional public transportation dispatching problem, while taking into account the association between the departure time of buses and the waiting time of passengers. A bi-object...

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Main Authors: Xinfeng Yang, Yicheng Qi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/14/4/108
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author Xinfeng Yang
Yicheng Qi
author_facet Xinfeng Yang
Yicheng Qi
author_sort Xinfeng Yang
collection DOAJ
description The optimization of bus scheduling is a key method to improve bus service. So, the purpose of this paper is to address the regional public transportation dispatching problem, while taking into account the association between the departure time of buses and the waiting time of passengers. A bi-objective optimization model for regional public transportation scheduling is established to minimize the total waiting cost of passengers and to maximize the comprehensive service rate of buses. Moreover, a NSGA-II algorithm with adaptive adjusted model for crossover and mutation probability is designed to obtain the Pareto solution set of this problem, and the entropy weight-TOPSIS method is utilized to make a decision. Then the algorithms are compared with examples, and the results show that the model is feasible, and the proposed algorithms are achievable in solving the regional public transportation scheduling problem.
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spelling doaj.art-4f62e6322fe741988d7d1bfdbed84cce2023-11-21T13:09:57ZengMDPI AGAlgorithms1999-48932021-03-0114410810.3390/a14040108Research on Optimization of Multi-Objective Regional Public Transportation SchedulingXinfeng Yang0Yicheng Qi1School of Traffic & Transportation Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic & Transportation Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaThe optimization of bus scheduling is a key method to improve bus service. So, the purpose of this paper is to address the regional public transportation dispatching problem, while taking into account the association between the departure time of buses and the waiting time of passengers. A bi-objective optimization model for regional public transportation scheduling is established to minimize the total waiting cost of passengers and to maximize the comprehensive service rate of buses. Moreover, a NSGA-II algorithm with adaptive adjusted model for crossover and mutation probability is designed to obtain the Pareto solution set of this problem, and the entropy weight-TOPSIS method is utilized to make a decision. Then the algorithms are compared with examples, and the results show that the model is feasible, and the proposed algorithms are achievable in solving the regional public transportation scheduling problem.https://www.mdpi.com/1999-4893/14/4/108regional public transportationbus schedulingNSGA-II algorithmeasy transfermulti-objective
spellingShingle Xinfeng Yang
Yicheng Qi
Research on Optimization of Multi-Objective Regional Public Transportation Scheduling
Algorithms
regional public transportation
bus scheduling
NSGA-II algorithm
easy transfer
multi-objective
title Research on Optimization of Multi-Objective Regional Public Transportation Scheduling
title_full Research on Optimization of Multi-Objective Regional Public Transportation Scheduling
title_fullStr Research on Optimization of Multi-Objective Regional Public Transportation Scheduling
title_full_unstemmed Research on Optimization of Multi-Objective Regional Public Transportation Scheduling
title_short Research on Optimization of Multi-Objective Regional Public Transportation Scheduling
title_sort research on optimization of multi objective regional public transportation scheduling
topic regional public transportation
bus scheduling
NSGA-II algorithm
easy transfer
multi-objective
url https://www.mdpi.com/1999-4893/14/4/108
work_keys_str_mv AT xinfengyang researchonoptimizationofmultiobjectiveregionalpublictransportationscheduling
AT yichengqi researchonoptimizationofmultiobjectiveregionalpublictransportationscheduling