Road Work: Using Mobile Data to Alleviate Traffic Congestion
Slower speeds and longer trip times are becoming the new normal. The fast-growing Seattle area, in fact, ranks 10th in the nation and 20th worldwide for traffic congestion.* To address this challenge, expert Alexandre Bayen proposes utilizing crowdsourced mobile data from drivers and passengers. This data, combined with optimization techniques and game theory, has the potential to enhance algorithms that control traffic estimations as well as infrastructure such as traffic light timing and variable speed limits.
Alexandre Bayen, Liao-Cho Professor of Engineering, Electrical Engineering, Computer Science and Environmental Engineering, UC Berkeley