Modeling and optimizing urban bus transit considering headway variation for cost and service reliability analysis

Liuhui Zhao, Steven I. Chien, Lazar N. Spasovic, Xiaobo Liu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Due to the stochastic nature of traffic conditions and demand fluctuations, it is a challenging task for operators to maintain reliable services, and passengers often suffer from longer travel times. A failure to consider this issue while planning bus services may lead to undesirable results, such as higher costs and a deterioration in level of service. Considering headway variation at route stops, this paper develops a mathematical model to optimize bus stops and dispatching headways that minimize total cost, consisting of both user and operator costs. A Genetic Algorithm is applied to search for a cost-effective solution in a real-world case study of a bus transit system, which improves service reliability in terms of a reduced coefficient of variation of headway.

Original languageEnglish (US)
Pages (from-to)706-723
Number of pages18
JournalTransportation Planning and Technology
Volume41
Issue number7
DOIs
StatePublished - Oct 3 2018

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Transportation

Keywords

  • Urban bus transit
  • bus stops
  • genetic algorithm
  • headway
  • optimization
  • reliability
  • stochastic vehicle arrivals

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