Title :
A adaptive map matching algorithm based on Fuzzy-Neural-Network for vehicle navigation system
Author :
Su, Haibin ; Chen, Jianming ; Xu, Junhong
Author_Institution :
Electr. Power Sch., North China Univ. of Water, Zhengzhou
Abstract :
Current vehicle navigation systems estimate the vehicle position from the Global Positioning System (GPS) signals and INS signals. However, because of the unknown GPS noise, the estimated position has an undesirable error. To solve this problem, a novel map matching method based on adaptive fuzzy-neural network (AFNN) is proposed in the paper, two important parameters are selected as the networks input signal, such as the projection distance from positioning point to candidate road and the comparability between positioning trajectory and candidate road. A four layers AFNN was designed based on if-then rule set, the convergent learning rule is fetched for the AFNN. Some experimental results show that the proposed algorithm has very good performance for matching the position of car to correct road under normal traffic conditions.
Keywords :
Global Positioning System; fuzzy neural nets; inertial navigation; learning (artificial intelligence); road traffic; road vehicles; traffic engineering computing; GPS; Global Positioning System; INS; adaptive fuzzy neural network; convergent learning rule; if-then rule set; map matching algorithm; road traffic; road vehicle navigation system; vehicle position estimation; Adaptive systems; Automation; Global Positioning System; Intelligent control; Marine vehicles; Navigation; Programmable control; Road vehicles; Trajectory; Water conservation; Adaptive fuzzy neural network; Map matching; Vehicle navigation system;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593639
