Title :
A Study of Urban Traffic Congestion Recognition Based on Pattern Recognition Technology
Author :
Zhu Yin ; Wang Junli ; Lu Huapu
Author_Institution :
Traffic Manage. Eng. Dept., Chinese People´s Public Security Univ., Beijing
Abstract :
In this paper the traffic congestion recognition method is studied deeply based on the pattern recognition technology which is well integrates the fuzziness and randomness of linguistic concepts in a unified way, and makes the transforms between qualitative concepts and their quantitative expressions much easier and interchangeable. Moreover, the feasibility and effectiveness of that new method which is presented in this paper are demonstrated by an example.
Keywords :
fuzzy set theory; pattern recognition; road traffic; traffic engineering computing; linguistic concepts fuzziness; linguistic concepts randomness; pattern recognition technology; urban traffic congestion recognition; pattern recognition technology; traffic congestion recognition; urban traffic;
Conference_Titel :
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-2727-4
DOI :
10.1109/ISISE.2008.250
