Combinatorial Optimization for the Guangzhou, China, Bus Rapid Transit System

Author:

Lin Peiqun1,Zhang Ning1,Xu Jianmin1,Wang Yu1

Affiliation:

1. School of Civil Engineering and Transportation, South China University of Technology. Wushan Road, Tianhe District, Guangzhou 510640, China.

Abstract

Bus rapid transit (BRT) has become an efficient mode of public transportation to mitigate urban traffic congestion. Research on improving the performance of BRT systems is still in the early stages, despite booming growth of BRT projects. In some busy BRT systems, the challenge is to assign multiple substops reasonably and accurately to bus routes at the station. Bus queuing at the station is the major cause of traffic congestion in the Guangzhou, China, BRT (GBRT) system, which is the highest volume BRT system in Asia. To reduce queuing at the station and enhance the mobility of BRT buses, this study proposed a combinatorial optimization model (BCOM) to assign multiple substops to bus routes at the same station. The objective of the proposed method was to minimize the probability of bus queuing at BRT stations. The study used a novel genetic algorithm to obtain suboptimal solutions of the BCOM. Operating data from the GBRT system were analyzed, and it was found that the BRT bus arrival rate and dwell time obeyed a Poisson distribution and negative exponential distribution, respectively. A simulation tool for the GBRT system, based on VISSIM, was developed to evaluate the proposed solution. The simulation and application results demonstrated that the proposed solution could decrease bus queuing length effectively and could reduce bus dwell time and travel time and the service saturation of substops simultaneously. This study provides a useful and practical solution to improve the performance and operation of BRT systems and other traditional bus systems.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3