An intelligent traffic management method based on blockchain-enabled crowd sensing

Abstract

The invention discloses an intelligent traffic management method based on blockchain-enabled group intelligence sensing, and introduces blockchain, group intelligence sensing, edge computing and 5G technologies to establish a three-layer intelligent traffic management framework of terminal-edge-remote management ; Abstract the safety, delay and user utility of traffic management and establish a multi-objective optimization model that maximizes traffic management safety and user utility and minimizes traffic management delay; decomposes the above multi-objective optimization model into three sub-models, respectively It is blockchain optimization, vehicle task calculation and base station sub-channel allocation; design a method based on deep reinforcement learning to solve the block chain optimization sub-model; use the distributed alternating direction multiplier method to solve the vehicle task calculation sub-model; design a bilateral matching algorithm to solve The sub-channel allocation sub-model of the base station. The invention proposes a new intelligent traffic management system, and provides a new solution for designing a safe, efficient and feasible intelligent traffic management system.

Description

technical field [0001] The present invention relates to an intelligent traffic management system in the field of vehicle traffic, in particular to a terminal-edge-remote management three-layer traffic management framework based on block chain, crowd sensing, edge computing and 5G technology and artificial intelligence algorithm, distribution An intelligent traffic management system that optimizes the safety, delay and user utility of traffic management by combining the alternating direction multiplier method and the bilateral matching algorithm. Background technique [0002] The rapid improvement of living standards has led to a sharp increase in the number of vehicles in the city. In order to provide a safe and efficient traffic environment, intelligent traffic management is becoming more and more important. However, existing traffic management systems mainly focus on engineering aspects, such as the control of traffic lights, and cannot provide drivers with services relate...

AI Technical Summary

Problems solved by technology

However, the existing traffic management system mainly focuses on the engineering point of view, such as the control of traffic lights, and cannot provide drivers with services related to the traffic incidents that occur

Even though a small number of traffic management systems have introduced the Internet of Vehicles and crowd sensing, they have ignored the safety issues of traffic management

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