01697663

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Due to the increasing pollution of fuel vehicles to the environment and the rising cost of their usage, using electric buses to replace fuel vehicles has become a new idea for the development of public transportation. However, due to the limitation of the cruising range of electric buses and the impact of charging demand on driving, the formulation of driving plans is more complicated than that of fuel vehicles. Considering the optimal driving plan and reasonable layout of charging facilities for electric bus, this paper optimizes the total operating cost of electric bus and its supporting facilities. Based on genetic algorithm, a set of operational planning methods is proposed. Finally, the model effect was verified by taking some Bus Line operations in Daxing District of Beijing as example, and compared with the traditional bus operation plan, the total operating cost was reduced by 16.77%.

This paper was sponsored by TRB committee AP050 Standing Committee on Bus Transit Systems.

19-03503

English

7p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References; Tables

Bus transit operations; Electric buses; Electric vehicle charging; Genetic algorithms; Operating costs; Optimization; Regional transportation; Vehicle range

Battery charging stations (Electric vehicles)

Beijing (China)

Energy; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Vehicles and Equipment

Transportation Research Board Annual Meeting 2019 Paper #19-03503

TRIS, TRB, ATRI

Dec 7 2018 9:34AM