Title :
A prototype of knowledge-based system for congestion monitoring and diagnosing
Author :
Gaoshou, Zhai ; Cha Hanzhong
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., Northern Jiaotong Univ., Beijing, China
Abstract :
With rapid development of modern society, congestion is becoming a serious problem puzzling urban traffic. And because of the complexity of its origin and evolution, classical urban traffic control system (UTCS) based on mathematical model is helpless when it occurs. The technological introduction of artificial intelligence is getting to be one hopeful direction to improve UTCS in congestion management. In this paper, a prototype of Knowledge-Based System for Congestion Monitoring and Diagnosing (KBSCMD) is implemented in G2 and test results on a typical congestion example are given.
Keywords :
knowledge based systems; road traffic; traffic control; KBSCMD; artificial intelligence; congestion; congestion management; congestion monitoring and diagnosing; knowledge-based system; urban traffic; urban traffic control; Artificial intelligence; Computerized monitoring; Knowledge based systems; Knowledge management; Mathematical model; Object oriented modeling; Prototypes; Technology management; Telecommunication traffic; Traffic control;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182674
