This invention provides a method and
system for
road condition data acquisition and analysis based on a
commercial vehicle connected driving recorder. The invention utilizes a connected driving recorder, a mandatory standard feature in commercial vehicles, to acquire road images in real time via an
image acquisition module and perform preprocessing such as backlight compensation,
distortion correction,
noise reduction, and effective area
cropping. An image recognition module employs a lightweight
deep learning and rule-based
algorithm to locally identify congestion and traffic accidents. A positioning module acquires
latitude and
longitude, vehicle speed, and timestamps via GPS / BeiDou dual-mode, achieving precise spatiotemporal binding through
timestamp alignment and interpolation compensation. A 4G communication module uploads data using a strategy prioritizing event triggering and supplementing with periodic heartbeats. A
data monitoring platform verifies the data, performs 3D deduplication, and then visualizes it on an
electronic map. This invention requires no additional hardware, is low-cost, has wide coverage, and strong real-time performance, enabling automatic and precise monitoring of road conditions across the entire area, and is suitable for
traffic management and logistics scheduling.