Classification of Traffic Flow Situation of Urban Freeways Based on Fuzzy Clustering
Dewang Chen · Communication and Transportati0n Systems Engineering and Information · 2005
As the judgment on the situation of traffic flow often is vague, a fuzzy clustering method is used to classify the field traffic flow data of urban freeway in this paper and traffic flow are classified into 2, 3 or 6 categories respectively. Some important parameters about the traffic flow classification are given based on the analysis of the experimental result. The analysis results show that using fuzzy clustering to classify the traffic flow is feasible; of the three traffic flow parameters, speed have the greatest influence on the traffic flow classification, occupancy the second, flow the least; unless in the situation with very high speed, very low speed or very high occupancy, the right judgment of traffic flow situation can given directly, we should judge comprehensively according to the all three traffic flow variables.