The Research on Electric Bus Operation Intelligence Scheduling Model and Algorithm

Song Gao; Pei Pei Zhang; De Rong Tan; Xiao Lin Zhang

doi:10.4028/www.scientific.net/AMM.253-255.1330

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 253-255The Research on Electric Bus Operation...

The Research on Electric Bus Operation Intelligence Scheduling Model and Algorithm

Abstract:

Electric bus is different from traditional bus. Its operation scheduling is constrained by the charge time, discharge time and driving range. On the base of full consideration of the electric bus driving range and charging time, the electric bus scheduling model is built. Then a genetic algorithm is selected to solve the model. Finally, an electric bus route in Zibo City is taken as an example, to adopt modeling and solving. The results verify the applicability of the model and algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 253-255)

Pages:

1330-1334

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.253-255.1330

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Online since:

December 2012

Authors:

Song Gao, Pei Pei Zhang, De Rong Tan, Xiao Lin Zhang

Keywords:

Charging Time, Driving Range, Electric Bus, Genetic Algorithm (GA), Scheduling Model

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