Electrification of surface transportation networks has the potential to reduce oil consumption and transport-related emissions, with many relevant projects currently underway worldwide. Typically, transition to electric public transport services is gradual, as operators select specific lines to electrify during initial stages of electric vehicle deployment. In this context, this study proposes a model for the optimal redesign of an existing transit route network, so that electric buses may be deployed where possible. The proposed model seeks to minimize the implementation cost for electrification while improving the level of service provided to transit passengers. A hybridized Genetic Algorithm is employed to solve the problem at hand while the model is validated using benchmark networks. Scenario analysis is carried out to investigate the effect of important parameters such as battery capacity and charger costs. Results show that the transition to electrification may be achieved with positive impacts on the service quality of the current public transportation network.
Transit route network redesign under Electrification: Model and application
2021
Article (Journal)
Electronic Resource
Unknown
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