Wireless ad hoc network traffic navigation system and method based on multi-source data
A wireless ad hoc network and navigation method technology, applied in the field of intelligent information processing, can solve the problems of inability to provide customized services for users, lack of traffic emergency warning function, single data and service types, etc.
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Embodiment 1
[0041] The invention discloses a traffic navigation system, which includes an information collection module, an information sending module and an information receiving module arranged on the roadside and on the vehicle; the system also includes an emergency traffic incident early warning module, and the early warning module includes an early warning module arranged on the vehicle or on the vehicle. The emergency traffic event early warning unit beside the road; when the emergency traffic event early warning unit detects or receives an emergency traffic event, the priority is set according to the distance between other emergency traffic event early warning units and the emergency traffic event, and the emergency traffic event is prioritized. Send traffic incident information to other emergency traffic incident warning units. Preferably, the traffic emergency early warning unit sends traffic emergency information to other traffic emergency early warning units within 500 meters fr...
Embodiment 2
[0078] In order to better understand the technical solutions of the present invention, further description will be made below in conjunction with the accompanying drawings and the second embodiment. The wireless ad hoc network traffic navigation method based on multivariate data of the present invention is as follows: Figure 4 shown.
[0079] A wireless mobile vehicle network is formed between vehicles on the road. In the wireless mobile vehicle network, on the one hand, the longitude, latitude and speed information of each vehicle is distributed, and on the other hand, various traffic accident information and picture and video information transmitted on demand are distributed. Therefore, each vehicle node calculates the real-time road conditions in the neighborhood, makes different levels of safety processing for different traffic emergencies, obtains dynamic implementation road condition information and corresponding video picture information through the vehicle ad hoc net...
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