Title :
AI-based dynamic route guidance strategy and its simulation
Author :
He, Guo-guang ; Ma, Shou-feng
Author_Institution :
Institute. of Syst. Eng., Tianjin Univ., China
Abstract :
Dynamic route guidance system must be intelligent because traffic flow process is a complex process with the high uncertainty. In this paper, a new strategy for dynamic route guidance based on artificial intelligence is proposed, and its simulation results are given
Keywords :
inference mechanisms; learning (artificial intelligence); navigation; optimal control; road traffic; traffic control; artificial intelligence; dynamic route guidance; inference engine; machine learning; optimal control; road traffic control; simulation; traffic flow; uncertainty; Artificial intelligence; Automatic control; Communication system traffic control; Control systems; Helium; Navigation; Systems engineering and theory; Telecommunication traffic; Traffic control; Uncertainty;
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
DOI :
10.1109/ITSC.2001.948624
