Checkpoint traffic information-based method for judging traffic violation of long-distance passenger vehicles

Abstract

The invention relates to a checkpoint traffic information-based method for judging traffic violation of long-distance passenger vehicles. The checkpoint traffic information-based method includes subjecting checkpoint monitoring equipment on the road to recording, comparing and extracting to generate a 2 Am-5 Am record set of the long-distance passenger vehicle traffic on that day; according to space intersection analysis of a road net and the checkpoint, extracting a 2 Am-5 Am traffic record set of one vehicle driving on the expressway; performing combined probability operation on number of passed checkpoints and record number of the vehicle, and performing solving through a road net analysis path to reliably judge suspect vehicles with traffic violation driving at 2 Am to 5 Am; comparing connecting transport vehicle information to judge traffic violation of the long-distance passenger vehicles driving at 2 Am to 5 Am. The checkpoint traffic information-based method has the advantages that GPS (global position system) equipment is not required on the vehicle, and driving paths are automatically acquired; according to a long-distance passenger vehicle driving rule and driving frequency, suspect vehicle license plate number recognition accuracy is verified, and the vehicles with the traffic violation are truly judged.

Description

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AI Technical Summary

Benefits of technology

This technology helps prevent accidents caused by drivers who have been convicted for causing harm or injury from their vehicles during traveling on public roads without having them pay extra money due to lack of accurate tracking data about road use patterns over time.

Problems solved by technology

This patented technical solution describes an issue where passengers carrying suspended cargo carriers travel between two points without being detected or identified during their journey. Current methods involve surveying them manually but this method has limitations such as potential privacy concerns over data collection due to legal actions involving collectors' consent.

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