4D real traffic scene simulation based severe weather early-warning management system and method

Abstract

The invention provides a 4D real traffic scene simulation based severe weather early-warning management system and method. The system comprises a multi-factor omnibearing tracking detection radar sensor, a data collection and analysis processor, a cloud processing server and main equipment of a 4D simulation management work station; a radar tracks vehicles and pedestrians on the road, obtains position information of the vehicles and pedestrians, and triggers a license plate snapshot camera to carry out real-time snapshot on vehicles synchronously; the system obtains node weather information ofthe present road to simulate the traffic road condition environment in a 4D manner and start an early warning rule, the road which the vehicles / pedestrians are passing is determined according to theposition information of the vehicles and pedestrians; and the alarm information is sent to the vehicles and pedestrians to pass the road in a point to point or broadcasting manner to make alarm prompt. According to 4D real traffic scene simulation, a road manager can use the system to make an emergency plan, carry out road control and rescue of vehicles and pedestrians in an accident, informationis pushed to avoid the planned route, and the risk of high-speed travel in the severe weather is reduced.

Description

technical field [0001] The invention relates to vehicle and pedestrian tracking and positioning technology, license plate capture technology, vehicle and pedestrian three-dimensional simulation technology, road video monitoring technology, road environment monitoring technology, virtual camera layout monitoring technology, traffic condition simulation technology, network communication technology, vehicle-road coordination technology, meteorological Simulation technology, environment simulation technology, computer graphics technology, video rendering technology, three-dimensional high-precision GIS map technology, virtual reality fusion technology and vehicle-road coordination technology, navigation technology, early warning technology, self-learning technology, especially involving a radar-based tracking technology Positioned four-dimensional real-scene traffic road condition perception, early warning, monitoring and management system. Background technique [0002] With the...

AI Technical Summary

Problems solved by technology

Under the existing bad weather, the driver cannot see the road information clearly due to various environmental interference and light interference

The speed of high-speed driving is relatively fast, and the driver can only look at the weather in the current environment, and cannot predict in advance the weather at the destination that is about to pass, and the weather changes rapidly, often with sunrise in the east and rain in the west or local bad weather. In the case of mild weather in other adjacent areas, if the road ahead is in severe weather, such as heavy fog, hail, heavy rain, heavy snow, etc. in the road ahead; and the current driving road can just bypass the bad weather road, but the existing traffic warning The device does not have the function of pushing the weather of the adjacent road section. The driver cannot know the weather conditions of the road section to be passed in time, which increases the risk of driving. When the highway is blocked due to weather, the traffic number and pressure will increase

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