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 data collection cannot carry out scientific research and traffic management

[0012] 1) The heavy input workload leads to omissions and wrong records

There are more than 10,000 traffic accidents per year in a city. The data in the record form is entered into the comprehensive application platform of public security traffic management. The amount of data is very large, and it may be reworked frequently due to the modification of the record form

[0013] 2) It is difficult to completely record the traffic accident data missing

The Ministry of Public Security’s comprehensive application platform for public security traffic management requires relatively complete information to be entered. However, it is difficult to collect all accident factors in the actual accident collection process, which will cause a serious lack of traffic accident data.

[0014] 3) Data query is inconvenient

Paper ledgers are inconvenient to query, and the Ministry of Public Security’s comprehensive application platform for public security traffic management only supports simple traffic accident data query functions, which is difficult to meet the diverse query needs of users

[0015] 4) Unable to access the analysis module

The workload of data statistical analysis for paper ledger query is heavy, and the existing public security traffic management comprehensive application platform of the Ministry of Public Security does not open the basic data query port to the public, and users cannot use the data entered into the platform for relevant analysis

[0016] In addition, there is no data analysis module in the existing traffic accident data management system, which wastes the value of traffic accident data for traffic safety management

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