基于群智感知的交通违章举报系统设计方法  

Design Method of Traffic Violation Reporting System Based on Swarm Intelligence Perception

作　　者：由畅宇 耿新青[1] YOU Changyu;GENG Xinqing(College of Artificial Intelligence,Anshan Normal University,Anshan 114056,China)

机构地区：[1]鞍山师范学院人工智能学院,辽宁鞍山114056

出　　处：《信阳师范学院学报（自然科学版）》2024年第2期259-263,共5页Journal of Xinyang Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(60275020);辽宁省教育厅项目(LJKMZ20221813)。

摘　　要：基于群智感知技术设计了一个交通违章举报系统,并对现有的数据选择机制进行了分析。针对这些机制在评价感知数据质量和用户可信程度方面存在的不足,提出一种新的基于信誉模型的数据选择方法,用户的信誉值可以根据其历史感知数据的质量动态计算得出,并将该方法应用于违章举报系统设计之中,有效地限制了恶意举报行为,提高了举报数据的质量和系统运行效率。根据实际性能测试,系统运行稳定可靠,是对现有交通监控系统的一个很好的补充。A traffic violation reporting system was designed based on swarm intelligence perception,and the existing data selection mechanisms were analyzed.In view of the shortcomings of these mechanisms in evaluating the perceived data quality and the credibility of users,a new data selection method based on reputation model was proposed.The user’s reputation value was dynamically calculated according to the quality of the historical perceived data.This method was applied to the design of the violation reporting system,which could effectively limit the malicious reporting behavior and improve the quality of the reporting data and the system operation efficiency.According to the actual test,the system operated stably and reliably,which was a good supplement to the existing traffic monitoring system.

关 键 词：群智感知 交通管理 违章举报 信誉模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]