DocumentCode
2795461
Title
Design and simulation of VFCWA based on BP neural network
Author
Fu, Hongchuan ; Wang, Jian ; Wan, Chan ; Zhao, Jianying ; Fu, Kai
Author_Institution
Sci. & Technol. Ind. Group, Shenyang, China
fYear
2009
fDate
17-19 June 2009
Firstpage
2089
Lastpage
2094
Abstract
Realizing the shortcomings of VFCWA, we propose to establish Driving-Braking Behavior Model (DBBM), using BP neural network, to make VFCWA to fit with driver´s behavior. And the tactic of combining DBBM and Security Model to form an effective VFCWA is proposed. Finally, through the simulation and experiment, it is proved that DBBM yield a satisfying result under the circumstances of straight path and curve path, verifying the rationality and feasibility of VFCWA proposed in this paper.
Keywords
backpropagation; neural nets; traffic engineering computing; BP neural network; curve path circumstances; driver behavior; driving-braking behavior model; straight path circumstances; Algorithm design and analysis; Educational institutions; Electronic mail; Flowcharts; Information science; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5192582
Filename
5192582
Link To Document