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Implementation of alternative fuel technologies for public transportation modes stems from increasing environmental concerns, technological improvements, and increasing demand for autonomous transportation, which is well exhibited by recent trends to replace diesel buses with battery electric buses (e-bus). Yet, scheduling and operational planning of electric vehicle (EV)-based transit modes is challenging due to additional considerations for energy consumption models and driving modes. In this project, a holistic scheduling and optimization modelling tool is developed for battery and fuel-cell operated e-bus transit. For a given timetable and charging constraints at the depot or on-route location, this study identifies the best charging strategy that minimizes the infrastructure investment and operating cost.
Babak Mehran
Sushreeta Mishra
Canadian Urban Transit Research and Innovation Consortium
Engineering - civil
University of Manitoba
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