Traffic region dynamic map monitoring and predicating system

Abstract

The invention discloses a traffic region dynamic map monitoring and predicating system and belongs to the field of traffic flow monitoring. The traffic region dynamic map monitoring and predicating system comprises a sensing module, a data management module, a map generation module, a map display module, a vehicle analog module, an authentication configuration module and a traffic flow parameter predicating module. By means of combination of a cellular automation model and an RBF (radial basis function) neural network short-term traffic flow predicating model, current jamming conditions and future jamming conditions of road sections can be computed to enable drivers to rapidly know road network situations so as to select proper roads, and accordingly running time is saved while carbon conservation and environment protection are realized. Further, traffic management personnel can know road network conditions in real time and be aware of specific traffic parameters and road condition videos through windows to take necessary measures.

Description

technical field [0001] The invention belongs to the field of traffic flow monitoring, and more specifically relates to a traffic area dynamic map monitoring and forecasting system. Background technique [0002] With the increasing number of automobiles in my country and the increasing density of road network traffic, vehicle congestion and traffic accidents have become problems that plague today's society. Obviously, measures to effectively guide traffic flow include real-time control of road network traffic density, timely selection of appropriate routes, balance of road network traffic, rapid notification of traffic incidents, timely emergency troubleshooting, and traffic control, etc., but this depends on the road network macro and Microcosmic means of modern scientific perception. At present, although surveillance cameras, radar speed measurement and other sensing equipment have been widely deployed, and many vehicles are equipped with GIS guide devices, the main proble...

AI Technical Summary

Problems solved by technology

[0010] Aiming at the problems that the existing traffic analysis system has high requirements on infrastructure, monotonous information representation, single content, and lack of multi-level information feedback from macro to micro, the present invention provides a traffic area dynamic map monitoring and forecasting system, which allows drivers to quickly understand The road network situation, select the appropriate route, save running time, save carbon and protect the environment; traffic management personnel can grasp the road network status in real time, learn the specific traffic parameters and road condition videos through the window, and take necessary countermeasures to guide traffic in a timely manner

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