Research on the Identification Method of Urban Road Traffic Conditions;

Application of data mining in traffic state quantification and recognition;

Weighting calculation and judging method of regional traffic state based on information coordination;

Short-Term Traffic State Forecasting of Road Network Based on Nonparametric Regression;

Based on the analysis of the objectives and functions for developing evaluation indexes of urban traffic conditions,the meanings of urban traffic conditions were defined from multi-angles.

Then,a new traffic condition identification method based on fuzzy logic is put forward,establishing traffic volume and occupancy as input variables.

This paper analyzes on the current automatic integration of the traffic network,and advances some methods for improving the early integration model of the traffic network.

At first,the traffic flow at traffic intersection net was calculated;then the next green phase and its green time length were determined on the basis of the pass through weight transfer degree.