Road information service system and method for urban traffic jam based on fog computing

Abstract

The invention discloses a fog computing based road information service system and method during city traffic congestion. The system comprises a vehicle-mounted intelligent terminal, a fog server, a roadside unit and a roadside cloud server module. The method comprises the following steps: 1, constructing a local area network; 2, positioning a vehicle; 3, sending a service request; 4, receiving the service request; 5, planning a driving route; and 6, feeding back an optimal path. According to the invention, the local area network is constructed by use of the fog server, real-time road condition information under jurisdiction is collected and is transmitted to the roadside unit governing the fog server, the roadside unit plans the driving route according to destination address information of the vehicle and the real-time road condition information, and the system and method are enabled to have the advantages of low delay, position perception, wider geographical distribution, suitability to more nodes and less driving time.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a road information service system and method based on fog computing in urban traffic jams in the technical field of Internet of Vehicles. The present invention can be used in urban traffic jams. After the fog server collects real-time road condition information, the roadside unit plans the driving route according to the destination address information and real-time road condition information, and feeds back the obtained optimal route to the vehicle-mounted intelligent terminal that sends the service request. , saving driving time. Background technique [0002] Fog computing expands the network computing paradigm characterized by cloud computing, extending network computing from the center of the network to the edge of the network, so that it can be more widely used in more application forms and service types. Specifically, fog computing uses network devices and dedic...

AI Technical Summary

Problems solved by technology

The disadvantage is that if the road is congested during the rush hour, the vehicle cannot reach the parking lot in time, but the parking lot still reserves a parking space for the vehicle, and the parking lot will inevitably cause new losses, so choosing a suitable driving route becomes difficult. very important

The disadvantage of this solution is that the data processing capabilities of the information service center and the server group are also limited. When the amount of data is huge, it will inevitably cause high delay. Once a problem occurs, the entire system will be paralyzed

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