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Xin Wang seminar

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Attend the next IE Decision Systems Engineering Spring ’21 Seminar Series event on Friday, April 2, 2021, hosted by Feng Ju. Xin Wang, an assistant professor at the University of Wisconsin-Madison, will discuss electric vehicle sharing and fleet management.

Incentivized Self-Rebalancing Fleet in Electric Vehicle Sharing
Presented by Xin Wang, assistant professor, Department of Industrial and Systems Engineering, Grainger Institute of Engineering, University of Wisconsin-Madison

Friday, April 2, 2021
Noon–1 p.m.
Attend on Zoom

This talk will be recorded and include a Q&A. 


With the rising need for efficient and flexible short-distance urban transportation, more vehicle sharing companies are offering one-way car-sharing services. Electrified vehicle sharing systems are even more effective in terms of reducing fuel consumption and carbon emission. In this paper, Wang and his team investigate a dynamic fleet management problem for an electric vehicle (EV) sharing system that faces time-varying random demand and electricity price. Demand is elastic in each time period, reacting to the announced price. To maximize the revenue, the EV fleet optimizes trip pricing and EV dispatching decisions dynamically. Wang’s team develops a new value function approximation (VFA) with input convex neural networks (ICNNs) to generate high-quality solutions. Through a New York City case study, they compare it with standard dynamic programming methods and develop insights regarding the interaction between the EV fleet and the power grid. 

About the speaker

Xin Wang is an assistant professor in the Department of Industrial and Systems Engineering, affiliated with Grainger Institute for Engineering, at the University of Wisconsin- Madison. Wang’s research expertise lies in developing mathematical models and solution methods for sustainable and resilient logistics systems, interconnected systems of systems, vehicle sharing for urban mobility, supply chain management, and traffic flow modeling and analysis. He has been applying his research on many pressing transportation challenges where uncertainties and competitions are critical, such as sustainable logistics system planning, electric vehicle sharing, smart parking, and integration of electric vehicle and power grid system.

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