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

Volume

3

fYear

2002

fDate

28-31 Oct. 2002

Firstpage

1753

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;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering

Print_ISBN

0-7803-7490-8

Type

conf

DOI

10.1109/TENCON.2002.1182674

Filename

1182674