Effect evaluation method of traffic demand management measures based on identification data of license plates

Abstract

The invention relates to an effect evaluation method of a traffic demand management measures based on identification data of license plates, particularly to an implementation effect evaluation technology for the traffic demand management measures based on the identification data of license plates, which comprises the following steps: analyzing the data mining and effective information extraction from the existing identification data of vehicles in details, extracting traveling routes of vehicles with a shortest route algorithm and fuzzy inference technology in consideration of the basic characteristics of urban transportation, and real-time evaluating the traffic demand management measures in combination with the traffic subzone dynamic partitioning method. By adopting the technology provided by the invention, the effects that the travelling conditions are easily met, the operation method is simple and feasible and the evaluation results are accurate and timely are achieved, and the shortcoming that the evaluation technology in the prior art is difficult in dynamic adjustment of evaluation range and has long data acquisition cycle and poor real-time performance is overcome.

Description

technical field [0001] The invention relates to a method for evaluating the effect of traffic demand management measures based on license plate recognition data. Background technique [0002] The main purpose of implementing traffic demand management measures is to control the unlimited growth of traffic demand from the perspective of demand, and the direct manifestation of its implementation effect is whether the traffic volume passing through and entering and exiting the implementation range decreases. The above effect evaluation can be achieved through a large-scale traffic survey, fixed coil detection technology, floating car technology and license plate recognition technology. Compared with large-scale traffic surveys, which are time-consuming and labor-intensive, and the application direction is single, the license plate recognition technology has the characteristics of once and for all, real-time dynamics, and wide coverage; compared with the fixed coil detection tech...

AI Technical Summary

Problems solved by technology

[0003] At present, most commonly used evaluation techniques are based on manual surveys, which cannot achieve real-time dynamics, and it is time-consuming and laborious to obtain complete traffic occurrence information, and the degree of reuse of survey data is not high.

By searching relevant technical literature, it is found that most of them are also studying the evaluation criteria for the evaluation of the implementation effect of traffic demand management measures. There is no public report on the method of using license plate recognition data to evaluate the implementation effect of traffic demand management measures.

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