Floating car data-based urban road traffic accident influence prediction method

Abstract

The invention provides a floating car data-based urban road traffic accident influence prediction method, which comprises step 101, querying floating car historical data of a related road section, and preprocessing the floating car historical data to obtain the average car speed and car density of the corresponding road section under a normal state; step 102, querying floating car real-time data of the related road section, and preprocessing the floating car real-time data to obtain the current average car speed of the corresponding road section; step 103, querying road network data of an urban road traffic accident road section, and processing to obtain the topological structure of a surrounding road and the car density of the corresponding road section under a full-load condition; step 104, performing prediction analysis on the influence of an accident and road sections around the accident according to the preprocessed floating car historical data, floating car real-time data and road network topological relation data. According to the prediction method, the floating car data are input as predicting data, so that the accuracy of the prediction result of the method is ensured from the predicting data basis.

Description

technical field [0001] The invention relates to a method for predicting the impact of traffic accidents, in particular to a method for predicting the impact of urban road traffic accidents based on floating car data. Background technique [0002] With the rapid increase of the number of motor vehicles in my country and the saturation of infrastructure construction, the pressure on urban traffic is increasing, and the stability of traffic flow operation is also decreasing. Normal operation is even more important. [0003] At present, the traditional methods of dealing with urban road traffic accidents are mainly to simply discover and deal with accidents, and it is difficult to make accurate judgments and early warnings on the scope of influence of accidents. How to quickly and accurately predict the impact range of the accident site and surrounding road sections, and formulate the accident handling plan on this basis, plays an important role in improving the efficiency of ur...

AI Technical Summary

Problems solved by technology

[0006] (1) There are few methods for predicting the impact range of urban road traffic accidents, some of which are only real-time monitoring or simple prediction of the impact range of urban road traffic accidents, but do not target specific road sections and impacts of urban road traffic accidents at a specific time sex prediction

[0007] (2) Some methods for predicting the impact range of road traffic accidents in some cities require the installation of a large number of fixed monitors, and the construction cost is relatively high

[0008] (3) There are currently some methods for predicting the impact of expressway traffic accidents, but due to the large differences between expressway and urban traffic, they cannot be directly applied to the prediction of urban road traffic accident impacts

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