A simulation platform for energy-efficient dynamic commuter transit using electric vehicles

This paper presents a simulation platform for energy-efficient dynamic commuter transit using a fleet of electric vehicles (EVs). A mathematical model of the extended pickup and delivery problems is implemented to determine optimal routing and charging choices for all participating EVs in an urban network. The overall objective is to explore the optimal routes for a fleet of EVs while considering the requirements of all passengers and local/global constraints (e.g. battery state-of-charge and charging station availability). The simulation platform allows the commuter transit service provider to predict and evaluate every EV's performance (e.g., travel distance and travel time) under a variety of realistic scenarios. The proposed purpose-driven 1-click-solution helps to provide EV driver's assistance and improve the driving experience. Ultimately, the integrated solution or platform that can move the service provider's and driver's decision making process from being data-intensive to information-directed.