DocumentCode
2685639
Title
The Application of Variable Structure Fuzzy Neural Network on GPS Vehicles Dispatching
Author
Huanyao, Qiu
Author_Institution
Commun. & Inf. Technol., Guangdong Jidian Polytech., Guangzhou, China
fYear
2012
fDate
27-29 Oct. 2012
Firstpage
901
Lastpage
904
Abstract
This paper analyzes the principle and disadvantaged of traditional vehicle dispatching and burglarproof apply GPS (Global Positioning System) technology. Base on the learning principle of variable structure fuzzy neural network (VS_FNN), VS_FNN is applied on GPS vehicle dispatching. The result of simulation experiment indicates that the application of VS_FNN on GPS vehicle dispatching greatly promotes dispatching efficiency and lowers pollution and traffic jam.
Keywords
Global Positioning System; fuzzy neural nets; learning (artificial intelligence); traffic engineering computing; GPS vehicles dispatching; VS_FNN; burglarproof apply GPS technology; global positioning system; learning principle; traffic jam; variable structure fuzzy neural network; Convergence; Dispatching; Fuzzy neural networks; Global Positioning System; Niobium; Training; Vehicles; GPS; Variable structure; fuzzy neural network; vehicle dispatching;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-4873-7
Type
conf
DOI
10.1109/CIT.2012.185
Filename
6392022
Link To Document