Solution for Road Network Operation Monitoring and Emergency Response System

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Background of the plan

The intelligent perception of traffic events is not comprehensive, and the types of event detection are limited; Insufficient application of business systematization: Emergency response is mostly implemented through non systematic methods such as telephone/social software, and the process of communication and circulation relies on manual input, which is not standardized; The level of system intelligence is not high: it is difficult to integrate data from multiple departments (video surveillance/toll inspection/meteorological and other departments and networks), the degree of system analysis is low (event monitoring, situation monitoring, hazardous chemical vehicle archives and monitoring, plan generation, etc. are mostly obtained through manual inspections or experience; the roadside perception network is incomplete, with many blind spots in monitoring; cross-sectional monitoring is the main focus, and local/global monitoring is difficult to achieve

Content of the plan

Comprehensive road network monitoring: facility/equipment status monitoring, traffic operation status and trend monitoring, meteorological environment monitoring, toll operation monitoring; Intelligent judgment: intelligent judgment of traffic events, analysis of dangerous driving behaviors of key vehicles, etc; Accurate warning: traffic event classification warning, traffic flow anomaly warning, weather anomaly warning, and key vehicle warning; Road network emergency response: obstacle clearance and rescue, joint logistics linkage, information release, lane control, event tracking, and information reporting.

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Advantages of the plan

1. For the main road sections of highways/expressways, cloud edge intelligent combination technology, edge intelligent analysis, and cloud based intelligent review are adopted to improve the accuracy of traffic event detection through a dual approach. Multi level analysis helps precision control of highways/expressways, making road network operation safer, more efficient, and more orderly.

2.The two systems rely on the intelligent parsing ability of front-end and back-end video images, and can receive real-time analysis of sudden traffic events such as traffic congestion, traffic accidents, illegal parking, and littering in the video

3. Real time dynamic analysis; Road network situation label; Forecast of holiday traffic flow.

4.Based on the control of global resources, achieve unified monitoring, handling, tracking, and archiving of traffic incidents, rapid joint logistics linkage, and information dissemination.


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