DocumentCode
2632822
Title
Simulation and Implementation of High-Performance Collision Warning System for Motor Vehicle Safety Using Embedded ANFIS Prediction
Author
Chang, Bao Rong ; Young, Chung-Ping ; Tsai, Hsiu Fen ; Fang, Ren-Yang ; Lin, Jian-Jr
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taitung Univ., Taitung
fYear
2008
fDate
18-20 June 2008
Firstpage
80
Lastpage
80
Abstract
A good driver-vehicle interface needs two functions: (a) how to effectively prevent traffic crash and (b) how to record event data precisely for facilitating the traffic crash investigation after accident. This study is to explore how to realize high-performance collision warning system (CWS), providing the precaution against traffic crash in transit. An embedded adaptive network-based fuzzy inference system (ANFIS) built in XScale-NAV270 platform was employed to realize collision warning system and we also installed motor vehicle event data recorder (MVEDR). Finally, simulation and verification of the proposed approach were successfully done to achieve better accuracy and more effectiveness on warning operation and event data record to motor vehicle.
Keywords
accident prevention; driver information systems; fuzzy reasoning; road safety; road traffic; road vehicles; XScale-NAV270 platform; adaptive network-based fuzzy inference system; collision warning system; driver vehicle interface; embedded ANFIS prediction; motor vehicle event data recorder; motor vehicle safety; traffic crash investigation; traffic crash precaution; traffic crash prevention; Adaptive systems; Alarm systems; Fuzzy neural networks; Predictive models; Road accidents; Telecommunication traffic; Traffic control; Vehicle crash testing; Vehicle safety; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.496
Filename
4603269
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