A quantization method of traffic congestion evaluation based on fuzzy logic

In this paper, we present a quantization method to evaluate congestion from traffic flow information based on fuzzy logic. Level of congestion is considered as a continuous variable in the fuzzy inference system to estimate the congestion. As a result, we summarized a serial rules to generate congestion level with basic traffic parameters.

[1]  Boris S. Kerner Tracing and forecasting of congested patterns for highway traffic management , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[2]  Arnold CONGESTION ON VIRGINIA'S URBAN HIGHWAYS , 1988 .

[3]  D. Schrank,et al.  THE 2004 URBAN MOBILITY REPORT , 2002 .

[4]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  H. Zackor,et al.  Prediction of congestion due to road works on freeways , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).