A method, medium and device for detecting illegally operated vehicles

By acquiring two-way driving time-series data and combining vehicle behavior and passenger characteristics, illegal operating vehicles can be identified, solving the problems of low detection efficiency and limited coverage in existing technologies, and achieving efficient and accurate detection of illegal operating vehicles.

CN122531228AActive Publication Date: 2026-08-07ZHEJIANG LIJIA ELECTRONIC TECH CO LTD
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Patent Information

Application Number
CN202611007813.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-08
Publication Date
2026-08-07
Estimated Expiration
2046-07-08

AI Technical Summary

Technical Problem

Existing technologies make it difficult to effectively detect illegal carpooling, chartering, and disguised ride-hailing operations, resulting in low detection efficiency, limited coverage, disruption of normal traffic order, and high manpower and time costs.

Method used

By acquiring the two-way driving time sequence data of the target vehicle on the target road segment, the vehicle behavior characteristics are extracted for initial screening. Combined with the vehicle category and the characteristics of the front passenger, it is determined whether the vehicle is suspected of being an illegally operating vehicle.

Benefits of technology

It has improved the accuracy and efficiency of detecting illegally operating vehicles, reduced detection errors, and enhanced the intelligence and precision of the detection process.

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Abstract

The application relates to the technical field of intelligent traffic control, and provides a detection method, a medium and equipment for illegal operation vehicles, the method comprising the following steps: acquiring bidirectional driving time sequence data of a target vehicle on a target road section and extracting vehicle behavior features representing vehicle operation tendencies from the bidirectional driving time sequence data; performing suspected operation preliminary screening according to the vehicle behavior features to obtain a preliminary screening result; when the preliminary screening result indicates that the target vehicle meets a preliminary operation behavior, performing vehicle type identification according to the bidirectional driving time sequence data to obtain a vehicle category of the target vehicle; when the vehicle category belongs to a preset vehicle type, performing a copilot feature analysis according to the bidirectional driving time sequence data to obtain copilot features; and determining whether the target vehicle belongs to a suspected illegal operation vehicle based on the vehicle behavior features, the vehicle category and the copilot features. The application improves detection accuracy and efficiency, reduces detection errors, and improves the intelligentization and precision level of vehicle illegal operation detection.
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