Road traffic state estimation method based on microwave radar data

Abstract

Disclosed is a road traffic state estimation method based on microwave radar data. The method includes the steps that firstly, the maximum traffic capacity of road segments is acquired through statistics, and saturability is estimated; secondly, the mean value and standard difference of cross section speeds of a traffic flow lasting five minutes on each road segment are calculated through statistics; thirdly, an individualized subordinating degree function is automatically generated for each road segment; fourthly, a smoothness constant, a slow moving constant and a congestion constant are given respectively based on fuzzy rules, the strength of each rule is calculated for each set of input data (speed and saturability), three output maximum rule strengths are sequentially recorded as w1, w2 and w3, and then an output value Z is worked out through the weighted average method; fifthly, it is judged that traffic is smooth if the final value Z is the most approximate to the smoothness constant, it is judged that cars need to run slowly if the final value Z is the most approximate to the slow moving constant, and it is judged that the traffic is congested if the final value Z is the most approximate to the congestion constant. A model of the method has good continuity, high adaptive ability and good practicability.

Description

technical field [0001] The invention belongs to the field of intelligent traffic, and relates to a method for estimating urban road traffic states. Background technique [0002] Urban traffic state estimation refers to the use of data collected by traffic sensors, based on the basic theory of traffic engineering and people's cognitive habits, and the use of reasonable information science methods to determine the actual operating state of a group of road sections in real time. Typically, the running status of the link includes: smooth, slow and congested. Currently, the main traffic state estimation methods are technology based on floating car data and technology based on ground induction coils. Floating car technology only needs to judge the traffic state according to the speed threshold. Although this method is simple and practical, due to the unbalanced spatio-temporal distribution of floating cars, the obtained data has space-time gaps and a high missing rate. Typically...

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Problems solved by technology

[0006] In order to overcome the disadvantages of existing road traffic state estimation methods such as lack of sustainability, poor adaptability, and poor practicability, the present invention provides a model with good sustainability, strong adaptability, and practicality. A good road traffic state estimation method based on microwave radar data

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