Title :
A Novel Vehicle Safety Traffic Pre-warning Decision on Multi-sensor Information Fusion
Author :
Chen, Yong ; Zhang, Changhua ; Huang, Xiyue
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
Vehicle safety traffic is a hot issue today. Because the factors of pre-warning decision are very complex, including weather, time, vehicle type, self-speed, relative speed and so on, those factors usually induces pre-warning decision of vehicle safety traffic not to meet real-time capability and high accuracy. Different weather, different vehicle types and different speeds require different pre-warning decisions. For the existing condition of the high ways in China, a vehicle safety traffic pre-warning decision is proposed combining multi-sensor information fusion with fuzzy expert system. The factors of pre-warning decision are real-timely detected by multi-sensor information fusion and the decision is designed on fuzzy expert system. At last, the pre-warning decision is applied on high ways .The results show that the pre-warning decision reduces the rate of misreport and the rate of missing report of the pre-warning system and enhances stability and practicability. It sufficiently considers the existing condition of the high ways in China and the habits of drivers, so it is of wide application value.
Keywords :
fuzzy systems; sensor fusion; vehicles; different vehicle types; fuzzy expert system; multisensor information fusion; pre-warning decision; vehicle safety traffic; Automation; Hybrid intelligent systems; Laser radar; Masers; Meteorological radar; Radar imaging; Road accidents; Vehicle driving; Vehicle safety; Vehicles;
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
DOI :
10.1109/ICCIT.2007.96