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Title:

Combinatorial Optimization for the Guangzhou, China, Bus Rapid Transit System: Multiple Bus Substops and Docking Bays

Accession Number:

01519866

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/172232.aspx

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Order URL: http://worldcat.org/isbn/9780309295635

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.

Monograph Title:

Transit 2014, Volume 4

Monograph Accession #:

01557108

Report/Paper Numbers:

14-2145

Language:

English

Authors:

Lin, Peiqun
Zhang, Ning
Xu, Jianmin
Wang, Yu

Pagination:

pp 30–38

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2418
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295635

Media Type:

Print

Features:

Figures (5) ; References (18) ; Tables (4)

Geographic Terms:

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:45PM

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