SCATS coil data-based traffic state online quantitative evaluation and prediction method

Abstract

The invention discloses an SCATS coil data-based traffic state online quantitative evaluation and prediction method, which relates to the traffic state online quantitative evaluation and prediction method in the technical field of traffic. The SCATS coil data-based traffic state online quantitative evaluation and prediction method comprises the following steps: acquiring traffic parameters and uploading the traffic parameters to a traffic information centre by an SCATS coil; performing quality evaluation and control on actually-measured data by a computer; performing traffic parameter virtualtime sequence construction on the actually-measured data subjected to the quality evaluation and control; performing the quality evaluation and control on virtual time sequence data; performing traffic congestion automatic identification on the virtual time sequence data of the parameters; performing short multi-stage prediction on the virtual time sequence data of the traffic parameters; and on the basis of the short multi-stage prediction on the virtual time sequence time of the traffic parameters, performing traffic congestion spreading range prediction and duration prediction and issuing prediction results to a traffic administrative department to provide more forcible basis for decision making for the traffic administrative department.

Description

technical field [0001] The invention relates to an online quantitative evaluation and prediction method of traffic state in the technical field of intelligent transportation, in particular to an online quantitative evaluation and prediction method of traffic state based on SCATS coil data. Background technique [0002] SCATS (Sydney Coordinated Adaptive Traffic System) is a control system that uses computers to control traffic signals. From the perspective of control concept and technology, SCATS is a relatively excellent signal control system with mature technology, complete functions and flexible control methods, and has been widely used in the world. [0003] But currently, the dynamic traffic data acquired by SCATS is only used for signal control system. From the perspective of data sharing, if the dynamic traffic data obtained can be used for online quantitative evaluation of the traffic status of the roads covered by the system, it can reduce the cost of dynamic traff...

AI Technical Summary

Problems solved by technology

Under the condition of time-varying sampling interval, the dynamic traffic data is not comparable, not only cannot carry out the online quantitative evaluation of the traffic state based on these dynamic data, but also cannot use it as the basis for establishing a predictive model to realize the estimation of the future traffic state

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