Optimization Model of Transit Route Fleet Size Considering Multi Vehicle Type

Huasheng Liu,Yu Li,Xiangtao Gao,Jin Li,Yuqi Zhao

doi:10.3390/su14010193

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.

Highlights

The vehicle is an important carrier to provide public transport services
Two problems should be considered in bus line capacity allocation, bus size and quantity, which have an important impact on the efficient operation of public transport and the quality and level of service perceived by the user
The optimization results show that the total costs (TC) were reduced by 14.48%

Summary

Introduction

The vehicle is an important carrier to provide public transport services. The rational allocation of line capacity structure is the key to optimize the allocation of resources in public transport operation and management. Two problems should be considered in bus line capacity allocation, bus size and quantity, which have an important impact on the efficient operation of public transport and the quality and level of service perceived by the user. In-depth research on the optimum size and type of buses took place and a whole series of policies were developed which gave priority to public transport to try and deal with traffic congestion in large urban areas. Walters [1] arrived at a conclusion for bus size in the situation of competition and points out the benefits of using small buses on public transport networks.

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Conclusion