Road traffic state evaluation method based on adaptive neuro fuzzy inference system

Abstract

The invention relates to a road traffic state evaluation method based on an adaptive neuro fuzzy inference system, which comprises a training stage and a testing stage. In the training stage, historical data for input variables and output variables are read; the historical data are inputted to the adaptive neuro fuzzy inference system, and an output result of the adaptive neuro fuzzy inference system is obtained; based on a parameter learning rule for a back propagation thought, the output result of the adaptive neuro fuzzy inference system is combined to adjust the parameter, and an adaptive neuro fuzzy inference system after parameter adjustment is obtained; and the minimum mean square error of the adaptive neuro fuzzy inference system after parameter adjustment is calculated, whether the value achieves a specific threshold is judged, and if yes, the training stage is ended. In the testing stage, testing data are read; and the testing data are inputted to the adaptive neuro fuzzy inference system obtained through training in the training stage, and a service level value for describing the road traffic state is obtained.

Description

technical field [0001] The invention relates to the field of road monitoring, in particular to a road traffic state evaluation method based on an adaptive neuro-fuzzy reasoning system. Background technique [0002] With the development of the economy and the popularization of automobiles, traffic congestion has become a common problem faced by large and medium-sized cities. Evaluating the traffic state of the road is the prerequisite for alleviating traffic congestion and responding quickly to traffic accidents. [0003] In the prior art, most of the research results on the evaluation of traffic system operation status are researches on expressways, and there are relatively few research results on urban roads. The Handbook of Road Traffic Capacity is more authoritative in the evaluation of traffic system performance. This handbook discusses the evaluation of urban road traffic conditions (including intersections and arterial roads), but the method of obtaining performance i...

AI Technical Summary

Problems solved by technology

[0004] The prior art has the following disadvantages: in the urban road traffic system, as a qualitative evaluation method, the level of service (LOS) describes the overall operation status of a certain road traffic system and the feelings of drivers and passengers to it, and is an urban road traffic system. An important evaluation index of the transportation system

These methods do not consider the qualitative aspect of the evaluation problem itself, and cannot fully reflect the subjectivity and integrity of the traffic system evaluation. Establishing a multi-index comprehensive evaluation model is an important topic for road traffic LOS evaluation.

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