信阳师范学院学报（自然科学版）2024，Vol.37Issue(2)：259-263,5.DOI:10.3969/j.issn.1003-0972.2024.02.020
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
摘要
Abstract
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Key words
swarm intelligence perception/traffic management/violation report/reputation model分类
信息技术与安全科学引用本文复制引用
由畅宇,耿新青..基于群智感知的交通违章举报系统设计方法[J].信阳师范学院学报（自然科学版）,2024,37(2):259-263,5.基金项目
国家自然科学基金项目(60275020) （60275020）
辽宁省教育厅项目(LJKMZ20221813) （LJKMZ20221813）
