Review of Basic Traffic Data Fusion Methods
Zhaosheng Yang · Journal of Highway and Transportation Research and Development · 2006
The paper introduces several classical algorithms and their application in basic traffic data fusion.These algorithms include Kalman filtering,artificial neural network,statistic analyses(mean weight,exponential smoothing,reasoning estimate of mean value),and prediction methods of traffic volume and road network travel time.Their validity and reliability were validated by practice.Data after fusing can meet the demands for information precision in ATMS and provide reliable information for estimating traffic state.