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Friday, March 19, 2021 at 3:30pmVirtual Event
Abstract:We consider the problem of electrifying transit bus networks (TBNs) that many public transport operators around the world currently face. Electric TBNs are more susceptible to operational delays and uncertainty due to their limited driving range and slow charging rates. Moreover, they are only sustainable when powered from intermittent and uncertain renewable energy resources, which adds more complexity to the problem. We develop a real-time decision support system (RDSS) that uses real-time data, predictions, and mathematical optimization to develop and update the charging schedule to mitigate the effect of operational uncertainties. We formulate a mixed integer linear programming problem that is solved online to re-optimize the charging schedule. The results show that even conservative offline optimization might not be sufficient to guarantee a reliable operation, and that online re-optimization is necessary. We further show how locally generated renewable energy can be used to provide the required energy and that the benefit of an energy storage system is limited under the current network configuration in the city of Rotterdam, the Netherlands.
Pieter van den Berg is an assistant professor of transportation and logistics at the Rotterdam School of Management, Erasmus University. His research focuses on the application of Operations Research to the logistics of emergency service providers and public transportation. His work has been published in leading journals in the field of Operations Research such as Transportation Science, European Journal of Operations Research, and Interfaces, as well as medically oriented journals such as Injury Prevention and BMC Emergency Medicine. He obtained his MSc in Econometrics and Operations Research from VU University Amsterdam and his PhD in Applied Mathematics from the Delft University of Technology. In 2019, he was awarded the prestigious VENI grant from the Dutch National Science Foundation (NWO) for his proposal entitled “Dynamic dispatching and distribution of servers to improve response times for on-demand services”.
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