Internet-of-vehicles-based auxiliary cloud traffic safety method

Abstract

The invention discloses an internet-of-vehicles-based auxiliary cloud traffic safety method. With the method, defects of high cost and insecure communication of calculation and communication based on the existing method can be overcome. According to the technical scheme, the method comprises: firstly, a trust institution TA initializes a internet-of-vehicles communication system and issues a certificate to a service cloud (SC) and a road side unit (RSU); secondly, a user vehicle V identifies the RSU based on the certificate issued by the trust institution TA and sends encrypted route information; thirdly, the RSU verifies authenticity of the route and aggregates an actual route; fourthly, the SC decrypts the aggregated route to generate traffic guidance information; and fifthly, the user vehicle V selects a corresponding route based on the traffic guidance information. According to the invention, effectiveness of internet-of-vehicles communication can be guaranteed with less computation and communication costs; and the user route information is encrypted and signed by means of homomorphic signcryption algorithm, thereby guaranteeing privacy of the user route information. The provided method can be applied to intelligent management and intelligent dynamic information service of the traffic system.

Description

technical field [0001] The invention belongs to the technical field of wireless networks, and in particular relates to a traffic safety method on a cloud platform, which can be used for intelligent management of traffic systems and intelligent dynamic information services. Background technique [0002] The Internet of Vehicles refers to a dynamic mobile communication system in which vehicles interact with vehicles, vehicles and people, vehicles and sensor devices, and realize vehicle-to-public network communication. Through the above interactions, information sharing is realized, information on vehicles, roads and the environment is collected, the multi-source information is processed, and vehicles are effectively guided according to different functional requirements. [0003] Nowadays, with the increase of the number of cars, the road burden is increasing day by day, and traffic congestion has become a hot issue of social concern. It not only affects the economy, but also ...

AI Technical Summary

Problems solved by technology

The disadvantage of this solution is: since the information only contains the speed, location and direction of the user's vehicle, it can only judge whether there is congestion on the road in the current time period, and there is no predictability for traffic congestion

Disadvantages of this solution: no judgment is made on the accuracy of user feedback information, if the information contains false information, it will affect the accuracy of the broadcast traffic information

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