Relation Analysis for Road Traffic Flow Short-term Forecasting
Chunfu Shao · Journal of Transportation Systems Engineering and Information Technology · 2010
The relation of traffic state data and detective devices exists objectively,but previous attempts to perform short-time forecast are lack of quantitative analysis.Multidimensional scaling from theory of multivariate statistical analysis is proposed to describe the relation for road traffic flow short-term forecast in this paper.It was used to associate the relevance of traffic flows data from road cross-sections with a two dimensional chart of derived stimulus configuration.According to the chart,the strong or weak of the relativity of each road cross-section can be obtained,which supplied research range,object,and base of data analysis to short-term traffic flow forecasting models and methods with consideration of the variety of time and space of traffic flow.The proposed method is verified to be reasonable and effective.