A Fast and Efficient Route Finding Method for Car Navigation Systems with Neural Networks

In this paper we have proposed a new route finding method for car navigation systems meanwhile, have utilized learning power and high speed of neural networks in our proposed method. Our suggested procedures miss all limitations on standard algorithms planned for all these systems. In this way, despite of optimal rout finding between the origin and destination the parameters have been adopted than regarding roads traffics conditions, their limits and coincidence of routes in which all driver requests can simply be carried out. We believe that, this has been the first time discussing about neural networks on car navigation systems. Therefore, it could be the start up for widespread investigations.

• Type: Conference
• Year: 2006
• Where: EDOC
• Authors: Mehdi Hashemzadeh
• Keywords: Car Navigation Systems, Distributed And Parallel Computing, EDOC 2006, Neural Networks, Route Finding Method