Artificial Intelligence for Real-Time Traffic Management

To help ease freeway congestion and improve safety, Morgan State University and Clemson University developed a prototype for a new traffic surveillance system. This proposed vehicle-infrastructure integration (VII) system assesses and predicts traffic conditions via wireless communication between roadside sensors and the increasing number of cars that have Global Positioning System (GPS) technology. Data gathered from this communication can estimate the speed of traffic, the location of incidents (such as accidents and disabled vehicles) and the likely number of lanes blocked, resulting in improved mobility and safety for everyone on the road.