Optimization Model of Transit Route Fleet Size Considering Multi Vehicle Type

Huasheng Liu, Yuqi Zhao, Jin Li, Yu Li and Xiangtao Gao
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Huasheng Liu: Nanling Campus, College of Transportation, Jilin University, Changchun 130022, China
Yuqi Zhao: Nanling Campus, College of Transportation, Jilin University, Changchun 130022, China
Jin Li: Nanling Campus, College of Transportation, Jilin University, Changchun 130022, China
Yu Li: Nanling Campus, College of Transportation, Jilin University, Changchun 130022, China
Xiangtao Gao: Jilin Province Energy Conservation Review Center, Changchun 130000, China

Sustainability, 2021, vol. 14, issue 1, 1-15

Abstract: This paper proposes a bus line capacity optimization design model considering the scale of multiple vehicles, which is achieved by minimizing system operating costs and user costs. The proposed model takes into account the difference of passenger demand in different periods, and can get the optimal headway and delivery and reserve plan. In order to prove that the method can effectively minimize the cost, we solved a numerical example and compared the cost of the method in multi-transit model planning. Furthermore, the optimization results show that the total costs (TC) were reduced by 14.48%. Among them, the user costs (UC) decreased by 30.38% and the operator costs (OC) increased by 4.18%. Sensitivity analyses are presented to verify the validity of the model. The analysis results show that multi size bus optimization can reduce the total cost, especially the user cost in a certain cost weight interval. Besides this, the cost weight which reflects the passenger volume and waiting time value, optional bus size and cross-section passenger volume all affect vehicle scheme and system cost.

Keywords: public transport; fleet size; multi vehicle type; genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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