Method for making decision of inductive unit of intelligent dynamic route inductive system

Abstract

The invention discloses a decision-making method for an intelligent type dynamic route guidance system and a guidance unit. The method comprises the following steps: firstly, the turning rate of the road section to the downstream road section during the period p is obtained; secondly, the predicted guidance turning rate corresponding to all guidance information in a knowledge base is updated; thirdly, the traffic flow in different directions during the period of p plus1 is predicted to form proportion; fourthly, the optimum guidance information of the traffic flow in the different directions is withdrawn from the knowledge base; fifthly, according to the state of the road net of the guidance unit, the composition of the traffic flow and the corresponding optimum guidance information thereof are comprehensively considered, and the comprehensive guidance information for the guidance unit during the period of p plus 1 is obtained; and sixthly, the guidance period is updated, i.e. the P is equal to p plus 1, and the guidance information acts on the traffic flow through a VMS. The invention adopts the intelligent method to handle the guidance compliance rate, solves the problem that the influence range of the data (such as guidance compliance rate, guidance information, and the like) to the traffic flow is not easy to be obtained, and obtains better effect. The implementation steps are simpler, and a great amount of matrix operation in the transitional method is not cited. Therefore, the implementation is easy.

Description

Technical field [0001] The invention relates to a traffic control system, in particular to an intelligent dynamic route guidance system guidance unit decision-making method. Background technique [0002] The Dynamic Route Guidance System (DRGS) is an important part of the intelligent transportation system and an important means to improve the efficiency of the road network system. Its main function is to guide the traffic flow path and allow the utilization of the traffic capacity of the road network. , To keep the road network unobstructed and reduce travel time. DRGS is proposed for more than 20 years, many scholars have made great efforts for its development and achieved some results, and proposed a variety of DRGS represented by predictive and responsive models. Predictive DRGS requires the construction of a complex model to predict the traveler’s response to guidance signals and the traffic flow status of the road network in the future; responsive DRGS mainly relies on the d...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems existing in the prior art, the present invention provides an intelligent dynamic route guidance system guidance unit decision-making method, which solves the problems of imperfect DRGS models, complex algorithms and low accuracy of guidance information in the past

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