University of Michigan-Dearborn, USA
Prof. Yi Murphey
Intelligent Vehicles and Transportation Systems
Nearly every facet of our society is undergoing a shift of connecting the individual to the community. The “Internet of Things” movement is giving great power to the individual, by personalizing information that is time and location-aware. In the broad transportation community, building on the momentum and success of prior and current research, two primary areas have been identified as the forefront of ITS (Intelligent Transportation Systems) research, Connected and Automated Vehicles (CAV). Transforming individual vehicles into an integrated cyberphysical system through connectivity and automation can improve vehicle efficiency, convenience and safety to drivers, and reduce greenhouse-gas emissions by an order of magnitude. In this talk, three research projects in the areas of intelligent vehicle and transportation systems will be presented, accurate prediction of traffic flow, individual driving speed profiles, and personalized driving routes.