The purpose of this system is to reduce the rate of dangerous events caused by various driving factors. We compose a driving relational map as the system inputs factors of driver behavior, nearby vehicles and roadway factors, and then put this driving relational map into the matching process with dangerous driving relational maps. If the similarity between the driving relational map and one of the dangerous driving relational maps is high, a dangerous event may occur. At this time the system will warn the driver to watch out for this dangerous event. Along with the learning process based on case-base reasoning, the system will become a flawless danger prediction system.
|出版狀態||已發佈 - 2008|
|事件||11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008 - Beijing, 中国|
持續時間: 2008 12月 10 → 2008 12月 12
|其他||11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008|
|期間||2008/12/10 → 2008/12/12|
ASJC Scopus subject areas