University of California Institute of Transportation Studies

This project seeks to remove one important cause of intersection accidents: drivers, pedestrians and cyclists make mistakes because they lack sufficient information about the movement of others as they proceedthrough an intersection. There is spatial and temporal uncertainty. This missing information can be supplied by an ‘intelligent intersection’. It describes the signal from all approaches; predicts when the signal phase will change; uses sensor data to determine which blind spots are occupied; and predicts red light violations before they occur. The intelligent intersection broadcasts this information via radio and can be received by a connected vehicle or indeed anyone in the intersection with a smartphone or bluetooth device, so most intersection users will get this information. The objective of this research is to design intelligent intersection infrastructure and evaluate its performance in terms of safety and mobility benefits.