A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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.
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.
Congestion evaluation from traffic flow information based on fuzzy logic
2003-01-01
209513 byte
Conference paper
Electronic Resource
English
Congestion Evaluation from Traffic Flow Information Based on Fuzzy Logic
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