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    Project Overview

    To improve driving safety on mountain roads, the transportation department has deployed an intelligent early warning system upgrade project on sections of roads with sharp bends and steep slopes. This project adopts a closed-loop management mechanism of "front-end perception + cloud-based decision-making + terminal response," relying on roadside sensing devices to collect traffic flow data in real time, analyzing it using AI algorithms to generate early warning commands, and then disseminating them in real time through solar-powered early warning terminals.

    Construction goals

    By leveraging technological means, we can enhance proactive traffic safety control capabilities and shift from reactive response to proactive prevention.
    • 01

      Travel warning transformation

      By utilizing multi-source data fusion technology, integrating video surveillance, sensors, GPS and other equipment, a dynamic risk assessment model is constructed to achieve a shift from "post-event handling" to "pre-event intervention".

    • 02

      Improve travel efficiency

      Deploy an intelligent traffic management system that combines big data analytics and AI algorithms to achieve second-level detection and response to traffic incidents, thereby improving the utilization rate of road resources;

    • 03

      Multi-party collaboration

      Establish a cross-departmental emergency command platform that integrates communication, positioning, and data analysis functions to achieve rapid sharing and collaborative handling of accident information;

    • 04

      Public Information Release

      Develop a user-friendly information dissemination platform, integrating social media and navigation services to ensure timely and comprehensive information delivery.

    Demonstration and guidance

    Through technological innovation and model exploration, we can provide replicable experiences for the industry and promote the overall improvement of security levels.

    • Technical demonstration

      By using technologies such as millimeter-wave radar and vehicle-road cooperation to achieve full-element digital perception, a technological model is provided for the construction of smart highways.

    • Exemplary demonstration

      Through a multi-party cooperation mechanism, the deployment of the highway sentry system was completed efficiently, becoming a model for grassroots governance.

    • Benefit Demonstration

      By delivering timely and effective early warning information, the accident rate can be effectively reduced and traffic efficiency improved.

    Application effectiveness

    By proactively issuing warnings and implementing intelligent interventions, traffic management has shifted from "passive response" to "proactive prevention," effectively reducing the accident rate.

    • Accident prevention and risk intervention

      Based on radar detection of oncoming vehicles, and through LED dynamic text prompts and sound and light linkage warnings, the risk of lateral collisions in blind spots at intersections and curves is effectively reduced.

    • Technology upgrades and system optimization

      By integrating video surveillance image analysis and vehicle navigation trajectory data, an intelligent evaluation model can be constructed that can output congestion index, abnormal event probability, and route recommendation confidence in real time.

    • Diverse scene coverage expansion

      Deploying advanced safety early warning equipment can promptly alert drivers to potential dangers, thereby significantly reducing the incidence of traffic accidents and improving the overall level of road safety.