Intelligent meeting warning system for mountainous road

By designing an intelligent car-conferencing warning system on mountain roads, using deep learning technology to predict vehicle driving trajectory and collision risks during car-conferencing, the problem that existing systems cannot warn of potential risks in real time is solved, and effective improvement of driving safety in mountain roads is achieved.

CN119723948AInactive Publication Date: 2025-03-28GUIZHOU POLYTECHNIC COLLEGE OF COMM
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Patent Information

Application Number
CN202510214998.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing mountainous highway car meeting warning system cannot warn of potential collision or scratch risks in real time during the actual car meeting, making it difficult for drivers to judge relative distances in a timely manner, increasing the risk of traffic accidents.

Method used

A mountain road intelligent vehicle meeting warning system is designed to collect vehicle driving data in real time through the data acquisition module, combine deep learning technology to predict the vehicle driving trajectory and collision risks during the vehicle meeting, and generate accident warning instructions and driving suggestions based on the prediction results.

Benefits of technology

It realizes accurate prediction of the vehicle's driving trajectory and collision risks during car meetings, provides accurate speed and acceleration adjustment suggestions, effectively avoids potential traffic accidents, and improves driving safety of mountain roads.

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Abstract

The invention belongs to the technical field of intelligent traffic, and discloses an intelligent meeting warning system for mountain roads. Comprising a data acquisition module used for acquiring vehicle driving data; the data analysis module is used for analyzing the vehicle driving data to obtain a vehicle driving track; the probability prediction module is used for analyzing the vehicle driving track and predicting the accident probability; the accident judgment module judges whether an accident warning instruction is generated or not according to the accident probability; the driving suggestion module is used for generating a driving suggestion if the accident warning instruction is generated; the driving safety of the mountain road is improved, the accident occurrence probability is effectively reduced, the challenges of complex terrains can be effectively handled, and the passing efficiency is improved.
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