AI in Intelligent Vehicle Highway Systems
Papers from the AAAI Workshop
Yukiko Sekine, Program Chair
A major goal of IVHS is to develop a surface transportation system that offers increased performance in transporting people and goods and improved safety while reducing traffic congestion, accidents, and pollution. The federal government authorized more than $200 million for IVHS R&D and testing for 1993 alone. However, federal funding is only a portion of the overall IVHS market, which is expected to be a multi-billion dollar market. Although many projects have been operational or under extensive testing in the US, European countries, and Japan, there still remain many difficult problems in realizing the goal. The AI community can play a major role in IVHS, as a FHWA representative reminded us during the past year's workshop. This symposium focused on technical issues, discussing IVHS problems that have good use of AI, especially in the areas of advanced traffic management systems (ATMS), advanced traveler information systems (ATIS), and advanced vehicle control systems (AVCS). Those included: incident detection and management; real-time, adaptive signal control and simulation; intelligent sensor systems; optimal route selection algorithms; intelligent signal timing plan selection systems; intelligent decision support systems for logstics; intelligent user interface; and driver behavior prediction systems.