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Modeling and optimizing urban bus transit considering headway variation for cost and service reliability analysis
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.
Modeling and optimizing urban bus transit considering headway variation for cost and service reliability analysis
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.
Modeling and optimizing urban bus transit considering headway variation for cost and service reliability analysis
Zhao, Liuhui (author) / Chien, Steven I. (author) / Spasovic, Lazar N. (author) / Liu, Xiaobo (author)
Transportation Planning and Technology ; 41 ; 706-723
2018-10-03
18 pages
Article (Journal)
Electronic Resource
English
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