Road condition data acquisition and analysis method and system based on commercial vehicle networking traveling data recorder

By combining image preprocessing and lightweight deep learning with road condition rule judgment algorithms from a commercial vehicle connected driving recorder, along with GPS/BeiDou positioning, the rapid and accurate collection and uploading of commercial vehicle road condition data has been achieved. This solves the problems of limited real-time performance and coverage in existing road condition collection technologies, reducing costs and improving efficiency.

CN122290346APending Publication Date: 2026-06-26YUKUAI CHUANGLING INTELLIGENT TECH (NANJING) CO LTD
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Patent Information

Application Number
CN202610589215.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-30
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Current road condition data collection mainly relies on manual on-site shooting and post-annotation analysis, which suffers from poor real-time performance, low collection efficiency, high labor costs, and limited coverage. Furthermore, commercial vehicle driving recorders have not yet been used as road condition collection terminals to achieve automated, large-scale, and low-latency road condition monitoring.

Method used

A road condition data collection method based on a commercial vehicle connected driving recorder is adopted. By combining image preprocessing and a lightweight deep learning detection model with a road condition rule judgment algorithm, road congestion and traffic accidents are collected and identified in real time. The data is accurately bound by GPS/BeiDou dual-mode positioning and uploaded via 4G network.

Benefits of technology

It enables commercial vehicle connected driving recorders to quickly and accurately determine road conditions and events with low computing power consumption, reducing equipment and manpower costs, achieving full-coverage and blind-spot-free road condition data collection, reducing network transmission traffic, and improving data processing and display efficiency.

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Abstract

The invention provides a road condition data acquisition and analysis method and system based on a commercial vehicle networking traveling data recorder. According to the invention, a commercial vehicle forcibly-standard networked traveling data recorder is utilized, road images are acquired in real time through an image acquisition module, and preprocessing such as backlight compensation, distortion correction, denoising and effective area cutting is completed; the image recognition module locally recognizes congestion and traffic accidents by adopting a lightweight deep learning and rule judgment combined algorithm; the positioning module obtains longitude and latitude, vehicle speed and timestamps through GPS / Beidou dual modes, and precise space-time binding is achieved through timestamp alignment and interpolation compensation; the 4G communication module uploads data according to a strategy that event triggering is preferential and periodic heartbeat is assisted; and the data monitoring platform performs data verification and three-dimensional duplicate removal and then visually displays the data on an electronic map. The method does not need to add hardware, is low in cost, is wide in coverage, is high in real-time performance, can achieve the automatic collection and precise monitoring of all-domain road conditions, and is suitable for traffic management and logistics scheduling.
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