Product characteristics:
MCN-TFC200 is an integrated measurement and control network solution for traffic scenarios such as traffic flow intelligent dispatching and regional traffic light intelligent control. The system is formed by vision camera, computational communication integrated self-organizing node and strategy controller. Multiple intersection intelligent control systems form a road segment intelligent control system, which constitutes a regional-level intelligent control system, forming a large-scale distributed traffic automatic control system. Relying on the edge computing nodes deployed at various intersections, real-time video acquisition, vehicle statistics, traffic flow analysis of traffic status, and intelligent control of intersection traffic light systems to achieve intersection-level traffic flow scheduling. Through the self-organizing measurement and control network, a plurality of intersections are longitudinally connected to form a road-level traffic joint dispatching system to realize intelligent traffic control of the traffic trunk line. Further, the urban road control system is interconnected in real time, and the control strategy is issued through the control platform, and the execution strategies of various road sections and intersections are implemented to realize urban regional-level intelligent traffic control. Provide innovative, breakthrough ideas and solutions for smart cities and smart communication. There is no need for large-scale backhaul for each intersection video. The monitoring center does not need to manually analyze massive traffic videos. All traffic management work is distributed video detection in distributed measurement and control networks. Localized edge calculation analysis, localization control, regionalization control coordination and other units are autonomously completed.
Applications:
1)Smart traffic control
Provide intelligent traffic management solutions according to the different levels, such as intersection level, road level, region level, city level and so on. Quickly deploy the multi-direction video surveillance and edge computing nodes through ad-hoc wireless, and converge the intersection video to local edge computing equipment. The system canextract the flow rate and flow direction information of the vehicle quantity. Then, control flow scheduling bythe traffic light. The systemuses the traffic flow convergence interface to share the traffic information. It canrealize the traffic flow information aggregation and sharing in a wide range with the transmission of a small amount of data as the cost. With the professional traffic flow optimization algorithm, it generates a global real-time scheduling policy, and different intersections perform local flow regulation and control according to the issued scheduling policy.
2)Expressway intelligent transportation
Expressway full-segment monitoring, analysis and diversion, the system can discover the natural disaster, traffic accident and illegal behavior. The traffic command and control is realized through the wireless information push system service vehicle control.