Intelligent Transportation System

Traffic congestion is one of the leading causes of lost productivity and decreased standard of living in urban settings. Recent advances in artificial intelligence suggest that autonomous vehicle navigation will be possible in the near future. Individual cars can now be equipped with features of autonomy such as cruise control, GPS-based route planning, and autonomous steering. Once individual cars become autonomous, it is inevitable that before long all, or most, of the cars on the road will have such capabilities, thus opening up the possibility of considering autonomous interactions among multiple vehicles. With the introduction of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure communication, the behaviors of multiple connected vehicles can be coordinated for global traffic improvement, yielding the so-called cooperative intelligent transportation systems.

Wang Lin
Wang Lin
Professor of Department of Automation

My research interests include Multi-agent Systems analysis and control.