Title :
The Application of Variable Structure Fuzzy Neural Network on GPS Vehicles Dispatching
Author_Institution :
Commun. & Inf. Technol., Guangdong Jidian Polytech., Guangzhou, China
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;
Conference_Titel :
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-4873-7
DOI :
10.1109/CIT.2012.185
