System and method for monitoring road traffic jam and traffic accident risk

Intelligent transportation systems, powered by onboard sensors and cloud servers, monitor and manage road traffic congestion and accident risks in real time, improving the safety and efficiency of urban transportation and providing data support for autonomous driving and smart cities.

WO2026113917A1 Publication Date: 2026-06-04LINGNAN UNIVERSITY
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Patent Information

Application Number
PCT/CN2025/134011
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-11-11
Publication Date
2026-06-04

AI Technical Summary

Technical Problem

Urban traffic congestion and the risk of traffic accidents are serious, and existing technologies are insufficient to achieve intelligent real-time monitoring and management, resulting in low traffic efficiency and inadequate safety.

Method used

The system uses multiple vehicle-mounted sensors to acquire real-time visual data, which is then processed through a cloud server's FMS, information hub, and GIS platform to generate traffic congestion and accident risk indices. These indices are then displayed to users via terminals, enabling intelligent traffic management.

Benefits of technology

It provides real-time road traffic conditions and accident risk predictions, improving traffic safety and efficiency, providing a data foundation for autonomous driving systems, and promoting the development of smart cities.

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Abstract

A system and method for monitoring a road traffic jam and / or a traffic accident risk. The system comprises: a plurality of vehicle-mounted sensors (110); a cloud server (120), comprising a fleet management system (121), an information hub (122), and a geographic information system platform (123); and at least one terminal (130). The system and method support intelligent transportation / movement, improve overall road traffic safety, and further promote the development of smart cities.
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