Intercity road traffic congestion degree ranking method and system

Abstract

The invention provides an intercity road traffic congestion degree ranking method and system. According to the invention, in allusion to cities requiring congestion degree ranking, coordinate points are set on each road of the cities, the distance between two adjacent coordinate points is less than a set threshold, road condition cloud data is read in real time through the Internet, and the read real-time road condition data is marked on the corresponding coordinate points; in allusion to each coordinate point in the cities, if the coordinate point is a congestion source, the blocking coefficient is calculated according to the road condition data of the coordinate point and the road condition data of a downstream adjacent coordinate point, a congestion index of the city is acquired by dividing the total blocking coefficient of the city in a certain time period or at the current moment by the total number of coordinate points of the city or jurisdiction, and the traffic congestion degrees of the cities are sorted according to the congestion indexes. Ranking performed on the traffic congestion degree of each city according to the congestion index reflects that the number of coordinate points set in a large city is great, the number of coordinate points set in a small city is small, a deviation caused by the difference in city scale can be avoided, and the ranking is enabled to be fairer and more reasonable.

Description

technical field [0001] The invention relates to the field of road traffic management, in particular to a method and a system for sorting the degree of road traffic congestion between cities. Background technique [0002] With the increasing demand for traffic, road traffic congestion continues to intensify, spreading from megacities to small and medium-sized cities, seriously affecting people's daily travel, and becoming a social problem that has attracted great attention from governments at all levels. Whether it is a city's decision-making department, management department, or travelers, they all want to quickly and accurately know the current road congestion level in their city. [0003] Large companies that have been able to obtain the road congestion status of major cities across the country on a large scale using Internet technology have invented various congestion index calculation methods. It also ranks the road congestion levels of major cities in China, which has ...

AI Technical Summary

Problems solved by technology

[0004] At present, relevant companies in China rank and release the degree of urban congestion, which leads to disputes about the basis of the ranking in relevant cities. There are three main problems: first, the method is to select the traffic condition data of some roads in a city, Represents the data of the entire road network of the city, that is, the sampling mode is used to estimate the congestion status of all the roads in a city, so it cannot fully reflect the overall traffic congestion status of a city; the second is to obtain the data of the average speed of the road when the road is clear and the average speed of the current road. Comparing the data of vehicle speed, calculating the ratio and processing according to the ratio, it becomes the congestion index of a city. Use this index as the basis to compare and sort with other cities. The one with the largest congestion index is the first. This calculation method is one-sided; The third is that cities across the country are different in size and road network density, so directly using this data to sort is not comparable

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