Information acquiring, managing and analyzing system and method of traffic accident data

Abstract

The invention discloses an information acquiring, managing and analyzing system and method of traffic accident data. The system comprises a traffic accident data acquiring module, a data managing module, a data analyzing module, a database and a control terminal, wherein the traffic accident data acquiring module is used for realizing the information acquiring of the traffic accident data and transmitting the acquired data to the database in time; the data managing module is used for managing system account information and the traffic accident data; and the traffic accident data analyzing module is used for providing the functions of statistical analysis of the traffic accident data and diagnosis of accident black spots on the basis of the acquired traffic accident data according to the specified requirements of users and presenting statistical analysis results through an man-machine interface of the control terminal. The system disclosed by the invention has the beneficial effects that the traditional paper-based management mode of the traffic accident data is changed; the traffic accident data acquiring and managing efficiency is increased; the acquired traffic accident data arefully utilized; reasonable bases and suggestions are provided for the formulation of a timely and effective traffic safety management scheme.

Description

Technical field [0001] The invention relates to the technical field of traffic accident data information management, in particular to a traffic accident data information collection, management and analysis system and method. Background technique [0002] With the increase in the number of motor vehicles, the number of traffic accidents has also increased significantly. How to quickly collect, effectively manage, and scientifically analyze traffic accident data is an urgent problem to be solved. This is of great significance for improving the efficiency of on-site handling of traffic accidents, fully grasping the laws of the temporal and spatial distribution of traffic accidents, and accurately diagnosing traffic accident black spots, thereby proposing traffic accident prevention measures and improving road traffic safety. However, the current traffic accident data collection, management and analysis still have the following problems, specifically: [0003] (1) Data collection of t...

AI Technical Summary

Problems solved by technology

When the traffic police collect data at the accident scene, there is no standard collection process, which may lead to the lack of records of accident factors; the accident process cannot be described objectively, thus affecting the analysis and determination of accidents

[0005] 2) The problem of paper data loss

The traffic accident data collected at the accident scene are all recorded and saved in paper form, but paper files are inconvenient to save, and there is a problem that the entire copy is easily lost or partial data is missing due to improper storage

[0006] 3) Omissions and errors in data collection

Manually judging the brake tire footprint, measuring the braking distance and various related data with a tape measure, it is prone to missing measurements, wrong measurements, missing pictures, wrong pictures, etc., and the measurement accuracy is low, which brings inconvenience and difficulty to accident analysis.

[0007] 4) The data cannot be fully collected in a short time

The existing traffic accident data collection process does not clearly classify the types of accidents, which may lead to too cumbersome data collection work. There are contradictions between quickly handling the traffic accident scene, restoring traffic, collecting traffic accident scene data as much as possible, and fully analyzing the accident.

[0008] 5) The priority of traffic accident data collection is not clear

The accident scene cannot be preserved. Once the survey is completed, the site will be cleaned up. Some data is time-sensitive. If the survey is not effective within the time limit, the collected evidence will be incomplete and the survey work will suffer irreparable losses.

[0009] 6) Insufficient dat

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