Analysis method based on illegal boarding and alighting of passenger vehicle

Abstract

The invention provides an analysis method based on illegal boarding and alighting of a passenger vehicle, and the method comprises the following steps: S01, carrying out the vehicle illegal screening of passenger monitoring data, and obtaining an illegal boarding and alighting feature value; s02, performing feature analysis according to the illegal boarding and alighting feature values, and constructing a vehicle violation model; s03, performing model comparison calculation on the vehicle violation model to generate an output value similarity; s04, performing deviation identification according to the output value similarity, and obtaining the information of the to-be-detected vehicle; s05, performing violation detection on the to-be-detected vehicle according to the to-be-detected vehicle information to obtain vehicle violation information; by establishing the vehicle violation model, the analysis efficiency of the violation behavior of the passenger vehicle is improved, the similarity of the output values is calculated, the accuracy of the violation analysis of the passenger vehicle is enhanced, invalid detection is reduced, and the violation detection time is saved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an analysis method based on illegal loading and unloading of passenger vehicles. Background technique [0002] At present, due to the uneven quality of drivers and the frequent occurrence of illegal loading and unloading of passengers, it affects the order of the development of the industry. In addition, passengers who get off the bus walk through the expressway at will, which is very prone to traffic accidents. , the law enforcement department cannot control the buses whose license plate numbers and vehicle characteristics are unclear; affected by the environment, there are more problems of irregular driving, and passengers are not loaded and unloaded according to the regulations during the driving process, resulting in unnecessary losses; the existing In addition to the current ordinary roadside cameras for vehicle supervision, there are also methods for judging...

AI Technical Summary

Problems solved by technology

[0002] At present, due to the uneven quality of drivers and the frequent occurrence of illegal loading and unloading of passengers, this affects the order of the development of the industry. In addition, passengers who get off the bus walk through the expressway at will, which is very prone to traffic accidents. , the law enforcement department cannot control the buses whose license plate numbers and vehicle characteristics are not clear; affected by the environment, there are more irregular driving problems, and passengers are not loaded and unloaded according to the regulations during the driving process, resulting in unnecessary losses; the existing In addition to the current ordinary roadside cameras for vehicle supervision, there are also methods for judging traffic violations of long-distance passenger vehicles based on checkpoint traffic information, such as the application number "201410692387.1", which mentions the use of highway checkpoints to detect traffic violations at 2:00 a.m. At 5 o'clock, the long-distance passenger vehicles are compared in space to judge whether there are violations according to the attributes of the vehicles; however, this technical solution is limited to only suitable for use in a specific time period, and at the same time, it only conducts reference analysis on vehicles, and cannot compare passengers on and off the bus; The present invention proposes to build multi-algorithm capabilities based on AI artificial intelligence technology. By analyzing the data of passenger vehicles, and then performing frame extraction and algorithm analysis on real-time video, the dynamic analysis of the flow of people near the passenger vehicles is realized, thereby realizing the behavior judgment of passengers getting on and off. Through the data The continuous collection of and continuous analysis of human behavior can quickly and accurately discover violations

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