Abstract：A pure electric bus scheduling optimization model was developed with the objective of minimizing the costs of the fleet size and deadhead operation, with the consideration of the constraints of trip time, vehicle mileage and recharge time. The model was used to optimize the vehicle schedules of multiple routes in a certain region and a genetic algorithm was designed to solve the problem. A real life case study based on three routes, i.e. Route 472, Route 473 and Route 79, which is terminated at the Liaogongzhuang Depot in Beijing was conducted to generate the optimal bus schedules of these routes. The results show that the optimized schedules effectively save the electric bus fleet size and the deadhead operating cost.
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2020, Vol. 39 
