Identifying and early warning method for traffic accidents

Abstract

The invention relates to an identifying and early warning method for traffic accidents. The method comprises the following steps of: setting a preset database, obtaining an early warning identification parameter group at a section where traffic accidents frequently happen, and judging the vehicle length types of a vehicle to be detected and adjacent vehicles ahead and behind; judging whether the vehicles are safe or not according to a safe stopping distance, and directly carrying out accident monitoring and error correction if a safety state is determined; otherwise, judging the type of an accident according to the safe stopping distance, the running speed and the vehicle length types, carrying out corresponding accident type alarm, starting a rescue response and carrying out the accidentmonitoring and error correction; monitoring whether the actual traffic safety status and a predicted status are consistent, if so, directly judging the traffic safety status of the next vehicle; and otherwise, updating the preset database, and judging the traffic safety status of the next vehicle. The invention has the remarkable advantages of strong engineering practicability, high detection precision, low accident error alarming rate, real-time detection, rapid response, low cost, easy collection and good self-adaptivity.

Description

technical field [0001] The invention belongs to the field of tunnel safety management, in particular to a management control method for identifying and early warning of tunnel traffic accidents by using the principle of an artificial immune system. Background technique [0002] Tunnel traffic accident detection and early warning technology, as an important part of the expressway operation management system, can be divided into two categories: non-automatic detection technology and automatic detection technology. Since the 1960s, many developed countries in the world began to focus on the operation and management of expressways, and equipped them with fully functional traffic monitoring systems using electronic equipment. Research on Highway Traffic Accident Early Warning and Detection Algorithm. [0003] On the basis of early empirical algorithms, with the continuous development of high-tech such as mathematical theory and artificial intelligence, a series of advanced event...

AI Technical Summary

Problems solved by technology

[0004] Defects of existing traffic accident detection technology: Most traffic accident early warning and detection algorithms are theoretical research results, the research scope and limitations are designed by themselves, and the algorithms are verified offline. There are few engineering practice applications, and due to high data acquisition costs or The acquisition method is not easy to implement, which makes the traffic management department unwilling to use this theory or algorithm for traffic accident detection, and there are disadvantages such as difficult threshold calibration, high false alarm rate, poor portability and adaptability, etc.

Images