Locational Price Driven Electric Bus Fleet Operation and Charging Demand Management

This paper studies the route assignments and charging scheduling of electric bus fleet under centralized control. Specifically, we optimize the charging scheduling decisions for the electric bus fleet to minimize the daily scheduling cost which includes the deadheading travel cost and charging cost. The charging cost is characterized by a time-varying locational pricing scheme. A mixed integer linear programing (MILP) model is formulated to efficiently solve the proposed fleet management and charging scheduling problem. Also, we provide a numerical case study based a real-world dataset to illustrate the effectiveness of the proposed model.