Abstract

Electric buses or e-buses represent a viable zero-emission bus option for decarbonizing urban mobility. Numerous pilots and experiments are ongoing mainly throughout Europe, Americas and Asia in order to assure their feasibility in different actual operating conditions since 2012. As public transport (PT) ridership has decreased worldwide since COVID-19, it is essential to upkeep its previously attained quality-of-service so as not to compromise further PT users’ loyalty. So-called range anxiety represents a major e-bus implementation challenge. Therefore, a dedicated yet inexpensive e-bus modeling and simulation framework is developed to do the trick for testing multiple e-bus configuration options impact by analyzing its energy and environmental results in actual conditions of operation, topography, weather, traffic with real world driving data in virtual environments without negative consequences on PT ridership.

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