Traffic region dynamic map monitoring and predicating system

A dynamic map and prediction system technology, applied in traffic flow detection and other directions, can solve the problems of lack of multi-level information feedback, monotonous information expression, and single content, and achieve the effect of saving running time, low cost, and simple method.
CN102819954AInactive Publication Date: 2012-12-12NANJING UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV
Publication Date
2012-12-12
Estimated Expiration
Not applicable ยท inactive patent

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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.
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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...

Claims

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