Method and system for reducing road blocking coefficient to improve road traffic capacity

Abstract

The invention provides a method and system for reducing the road blocking coefficient to improve the road traffic capacity. According to the invention, a city road is divided into a plurality of coordinate points, the distance between adjacent coordinate points is less than a set threshold, a congestion countermeasure table is formulated for each coordinate point, and the coordinate points and the corresponding congestion countermeasure tables are associated through coordinate point serial numbers. In allusion to each coordinate point, road condition data of the coordinate point can be read in real time through the Internet. Whether a coordinate point is a congestion source or not can be judged according to the road condition data of each coordinate point and road condition data of a downstream coordinate point adjacent to the coordinate point, and if the coordinate point is determined to be a congestion source, the blocking coefficient of the congestion source is acquired according to the difference between the road condition data of the coordinate point and the road condition data of the adjacent downstream coordinate point. When a certain coordinate point becomes the congestion source, a congestion countermeasure table corresponding to the coordinate point can be searched according to the coordinate point serial number, the police is dispatched to get to the scene of the congestion source to perform traffic dispersion, and the congestion source is eliminated in the bud or the duration of the congestion source is shortened.

Description

technical field [0001] The invention relates to the field of road traffic management, in particular to a method and system for reducing road obstruction coefficient to improve road traffic capacity. Background technique [0002] Road traffic congestion continues to spread from megacities to small and medium-sized cities, which has attracted the attention of governments at all levels. Both the decision-making department and the management department of a city want to provide travelers with a safe, convenient, fast and punctual traffic environment through various means. [0003] Large companies using Internet + traffic guidance technology have invented various congestion index calculation methods after obtaining large-scale road congestion status in major cities across the country. They want to use this information to provide travel advice for travelers and guide them not to go to places with high congestion indexes At the same time, I want to use these indexes to provide man...

AI Technical Summary

Problems solved by technology

However, there are three main problems in the current congestion index calculation method: one is to select several road traffic data of a city to represent all the road data of the city, that is, to use the data obtained by sampling mode to replace the entire road traffic data; Therefore, it cannot fully reflect the accurate traffic conditions of a city as a whole or a road; the second is to compare the average speed of the road with the average speed of the current road and calculate the ratio, that is, the index. The more congested the road network is, the calculation method is one-sided; the third is that the index cannot directly guide the traffic police to eliminate the congestion in the bud or reduce the duration of the congestion, that is to say, it cannot guide the traffic police to quickly find the source of the congestion and eliminate the source of the congestion. budding state to ease road traffic congestion

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