Real-time sharing system and method for road condition information based on vehicle network

Abstract

The invention discloses a real-time sharing system and method for road condition information based on the vehicle network. The system comprises an information sending end, an information receiving endand a server; the information sending end is used for achieving a location-based road condition information sharing module, and a vehicle supplying information sharing service shares information requiring sharing from the information sending end to the server; and the information receiving end is used to implement the road condition information screening based on the user demand, the vehicle thatneeds the information sharing service sends the demand information from the information receiving end to the server, and the server filters out the road condition information required by the user according to the demand information and feeds back to the information receiving end for sending. The real-time sharing system and method for road condition information based on the vehicle network can perform prediction of the future vehicle operation state to effectively prevent from generation of traffic accidents so as to reduce the traffic accident occurrence rate, can allow drivers to select proper non-jamming paths for driving in good time so as to improve the road network carrying capacity, can relieve the urban traffic carrying pressure and can allow the road network structure and distribution to be globally relatively instantaneously averaged.

Description

technical field [0001] The invention belongs to the technical field of urban intelligent transportation, and relates to a system and method for sharing road condition information in real time, in particular to a system and method for sharing road condition information in real time based on Internet of Vehicles. Background technique [0002] With the progress of human society and the continuous development of cities, cars have almost become the standard configuration of every family. Due to the emergence of this phenomenon, it also poses many challenging issues to the carrying capacity of urban traffic. These problems are mainly reflected in the following aspects: [0003] 1. The road width setting in urban traffic is unreasonable, specifically, the main road with a large carrying capacity is set narrow, but the instantaneous traffic flow is relatively large; [0004] 2. The road network structure setting in urban traffic is unreasonable. Specifically, the road network stru...

AI Technical Summary

Problems solved by technology

[0003] 1. The road width setting in urban traffic is unreasonable, specifically, the main road with a large carrying capacity is set narrow, but the instantaneous traffic flow is relatively large;

[0004] 2. The road network structure setting in urban traffic is unreasonable. Specifically, the road network structure in areas with large traffic volumes is relatively sparse, while the road network structure in areas with small traffic volumes is relatively dense;

[0005] 3. The setting time of traffic lights at some intersections is unreasonable. The specific performance is that the setting time of traffic lights does not distinguish between peak hours and off-peak hours. When the traffic flow is large during peak hours, the waiting time of traffic lights Longer, thereby reducing the carrying capacity of road traffic;

[0006] 4. The real-time road condition information in urban traffic cannot be fully grasped, and the irregularity of dynamic changes can be studied

However, a proprietary and closed hardware operation in network devices slows down the process of deploying and expanding new services in the Internet of Vehicles

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