基于区块链与人工智能融合的智慧交通数据预测模型分析  

Analysis of Smart Transportation Data Prediction Model Based on the Integration of Blockchain and Artificial Intelligence

作　　者：季桉宁 刘皓铱 JI Anning;LIU Haoyi(Department of Traffic Management,Jilin Police College,Jilin 130117,China;Changchun Public Security Bureau,Jilin 130041,China)

机构地区：[1]吉林警察学院交通管理系,吉林130117 [2]吉林省长春市公安局,130041

出　　处：《集成电路应用》2024年第7期422-424,共3页Application of IC

基　　金：2023年度吉林警察学院重点科研项目(jykyzd202301)。

摘　　要：阐述区块链技术的去中心化和不可篡改性,可以保障交通执法数据的安全和可信度,而人工智能技术的智能化和自动化,可以提高数据的分析和预测能力。分析区块链和人工智能的融合优势和机制,设计基于区块链和人工智能融合的交通执法数据分析和预测模型。This paper describes the decentralization and immutability of blockchain technology,which can ensure the security and credibility of traffic law enforcement data,while the intelligence and automation of artificial intelligence technology can improve data analysis and prediction capabilities.It analyzes the advantages and mechanisms of the integration of blockchain and artificial intelligence,and designs a traffic law enforcement data analysis and prediction model based on the integration of blockchain and artificial intelligence.

关 键 词：区块链 人工智能 智慧交通管理 数据分析 预测模型 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP18[自动化与计算机技术—计算机科学与技术]