Method for recommending signal timing scheme based on intersection similarity

Abstract

A method for recommending a signal timing scheme based on intersection similarity comprises the following steps of 1) collecting intersection geographic information; 2) preprocessing data; 3) establishing an intersection model and a scheme model; 4) performing calculation of similarity on the target intersection and intersections in the database modules; and 5) evaluating the score module. The invention has the advantages that a method for recommending a signal timing scheme based on intersection similarity is proposed, the mass signal timing scheme can be recommended to the target intersection through the matching of intersection similarity to effectively improve the work efficiency and accuracy of the signal timing personnel, and the expert experience of the signal timing personnel is accumulated in the way of preserving the excellent timing schemes through the scoring mechanism.

Description

technical field [0001] The invention relates to a method for recommending a signal timing scheme based on intersection similarity. [0002] technical background [0003] A well-functioning transportation system is closely related to the healthy development of a city. The development of social economy, the acceleration of urbanization process and the rapid increase of private cars have promoted the rapid growth of urban traffic demand, and the ensuing traffic congestion problem has become the bottleneck problem of the development of large and medium-sized cities. In order to solve the above-mentioned traffic problems, the methods generally adopted at home and abroad include widening the road surface, building overpasses, viaducts, etc. Although these methods can temporarily relieve traffic pressure, due to limited land resources and economic constraints, the above methods are not a long-term solution to relieve traffic congestion and improve traffic efficiency. Therefore, in...

AI Technical Summary

Problems solved by technology

However, the traditional signal timing work requires timing personnel to conduct real-time surveillance video observations of relevant intersections, formulate plans according to actual conditions, and continuously observe the effects of the plans

This process not only requires a high level of experience for the time-matching personnel, but also consumes time and energy, and also affects the work efficiency of the plan distribution

On the other hand, due to the time difference caused by the dynamic characteristics of the traffic system itself and the differences in the intersection itself, it is difficult to accurately reuse a large number of timing schemes accumulated in the timing work to other intersections, resulting in a waste of resources

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