Road congestion bottleneck point determination method, apparatus, server and storage medium thereof

Abstract

An embodiment of the invention discloses a road congestion bottleneck point determination method, an apparatus, a server and a storage medium thereof. The method comprises the following steps of according to historical road condition data and road network data recorded in an electronic map service, determining a congested road section; according to the determined congested road section, and road coordinate information and historical road condition data corresponding to the congested road section, determining a road-condition space-time distribution map corresponding to the congested road section; and through a space cluster algorithm, determining a congestion cluster in the road-condition space-time distribution map and determining a space starting point of the determined congestion cluster to be a road congestion bottleneck point. In the scheme, automatic excavation of the road congestion bottleneck point is realized and accuracy of the road congestion bottleneck point is increased.

Description

technical field [0001] The embodiments of the present invention relate to computer technology, and in particular to a method, device, server and storage medium for determining road congestion bottleneck points. Background technique [0002] Traffic congestion is an important topic of urban management. With the rapid increase of urban car ownership, the problem of urban traffic congestion is becoming more and more serious. At present, various cities have invested a lot of manpower and material resources to control urban traffic congestion. The bottleneck point of road congestion is the direct cause of traffic congestion. The bottleneck point of congestion will cause large-scale traffic congestion during the peak period of traffic flow, seriously affecting the normal operation of urban traffic. At present, the focus of urban traffic governance is to find the road bottlenecks that cause congestion and carry out centralized control. Therefore, quickly and accurately obtaining th...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the location of the bottleneck point of urban road congestion mainly relies on fixed-point detectors, reports from the masses, and the experience accumulated by traffic police comrades. The hardware deployment cost of fixed-point detectors is very high, and it cannot be deployed intensively on various roads in the city. Manual observation requires a lot of labor costs, and the observation results are highly subjective. Although the traffic police comrades are familiar with the distribution of congested roads within their jurisdiction, they cannot give quantitative data on the location of specific bottleneck points and the law of congestion. , it is difficult to carry out effective analysis and judgment, and there are problems in scientificity and effectiveness

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