Using the fuzzy clustering approach, this paper studies the problem of state identification of road traffic. Firstly, the traffic characteristics of road network are analyzed in fuzzy theory view. Then the basic steps of traffic state identification are designed based on the fuzzy clustering method. At last a demonstration is given founded on a throughway traffic data of China. The result shows that the fuzzy clustering approach is promising for the dynamic identification of road traffic state.
The study on the application of fuzzy clustering analysis in the dynamic identification of road traffic state
2003-01-01
258035 byte
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 2003
|Applying Fuzzy Clustering Analysis to Dynamic Identification of Roadway Traffic States
British Library Conference Proceedings | 2003
|