Autonomy in Mobility-on-Demand Systems

As the use of private vehicles starts approaching its limits to effectively meet the demand for personal mobility in densely populated cities, mobility-on-demand (MoD) systems emerge as a more economical and sustainable alternative. These systems rely on the deployment of a fleet of vehicles at different stations that are distributed throughout the city. The customers simply have to walk to a station near their origin, pick up a vehicle, drive it to the station near to their destination and drop it off.

The goal of this project is to assess and demonstrate the role of autonomy in mobility-on-demand systems through modeling, algorithm development and experimental demonstration. We have instrumented a golf cart and demonstrated basic autonomous driving capabilities, including reliable navigation in a GPS-denied environment and safe interaction with automotive and pedestrian traffic. Unlike most existing autonomous vehicles, our golf cart uses minimal sensing and off-the-shelf components to attain the same level of operational ability while keeping the system economically viable.

Tichakorn (Nok) Wongpiromsarn
Tichakorn (Nok) Wongpiromsarn
Assistant Professor

My research focuses on formal methods, motion planning, situational reasoning, hybrid systems, and distributed control systems.