Joint Optimal Design of Electric Bus Service and Charging Facilities

Yuan Liu, Yamin Ding, Pei Jiang, Xugang Jin, Xinlin Wu and Zhanji Zheng ()
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Yuan Liu: College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China
Yamin Ding: Shenzhen SEZ Construction Group Co., Ltd., Shenzhen 518034, China
Pei Jiang: Shenzhen General Integrated Transportation and Municipal Engineering Design & Research Institute Co., Ltd., Shenzhen 518033, China
Xugang Jin: Chongqing Design Group Co., Ltd., Chongqing 400020, China
Xinlin Wu: Chongqing Engineering Management Co., Ltd., Chongqing 408000, China
Zhanji Zheng: College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China

Sustainability, 2024, vol. 16, issue 14, 1-16

Abstract: With the development of new energy technologies, fuel buses with internal combustion engines are gradually being replaced by electric buses. In order to save on system costs, an optimization model is proposed to jointly design the bus service and charging facilities. Considering the complexity of the original problem, the problem is decomposed into two subproblems, i.e., bus service design and charging facilities design. The bus service design is solved by a genetic algorithm with an embedded enumeration method. The non-linear charging facilities design problem is firstly converted to a linear problem and then solved by existing solving software. Sensitivity analysis of parameters such as passenger flow demand, charging power, and bus stopping time is also conducted to reveal their impact on the optimization of electric bus lines. The results indicate that, compared to the commonly used depot charging strategy, the proposed method reduces the operating cost per unit hour from RMB 16,378.30 to RMB 8677.99, a 47% reduction, and decreases the system cost from RMB 36,386.30 to RMB 29,637.99, an 18.5% reduction. This study addresses the charging and operation problem of electric bus lines. By considering charging vehicles while in operation, a joint optimization model for the operation of electric bus lines and the layout of charging facilities is established. An algorithm based on the combination of a genetic algorithm and enumeration method is designed, combined with a linear programming solver to solve the problem.

Keywords: electric bus; bus service optimization; charging facilities optimization; genetic algorithm; linear programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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