Development and Application of Intelligent Traffic Toll Data System Based on Blockchain

This paper focuses on the research and development of intelligent traffic toll data system based on blockchain, aiming to improve the accuracy and efficiency of highway toll inspection. The system integrates blockchain technology and the Internet of Vehicles (IoV), builds a new trust management mechanism, realizes cross-platform data sharing and interaction, and solves the problem of data isolation and trust in the traditional toll system. This paper presents an algorithm based on Bayesian inference model, which is used to predict and analyze charging data under uncertain environment to ensure the reliability and accuracy of data processing. Through the system simulation, the performance of the designed algorithm and model under different working conditions is deeply analyzed. The simulation results show that the proposed system can greatly improve the efficiency and accuracy of charge audit while ensuring data security and privacy. This paper analyzes the simulation data precisely, verifies the feasibility and superiority of the system in practical application, and provides important technical support and application reference for the future development of intelligent transportation system.