Title :
Congestion evaluation from traffic flow information based on fuzzy logic
Author :
Lu, Jia ; Cao, Li
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
In this paper, we present a new method to evaluate congestion from traffic flow information based on fuzzy logic. Level of congestion is considered as a continuous variable from free flow to traffic jam. After a simulation, we used adaptive neuro-fuzzy inference system and trained a series of fuzzy logic rules, to estimate the congestion. As a result, general perception of judging congestion is recovered by the fuzzy system with basic traffic parameters.
Keywords :
adaptive systems; fuzzy logic; fuzzy neural nets; human factors; inference mechanisms; road traffic; road vehicles; traffic control; traffic information systems; adaptive neural fuzzy inference system; fuzzy logic rules; fuzzy system; human perception; traffic congestion evaluation; traffic flow information; traffic jam; traffic parameters; Adaptive systems; Automation; Fuzzy logic; Fuzzy systems; Humans; Intelligent transportation systems; Lab-on-a-chip; Road transportation; Road vehicles; Traffic control;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1251919
