基于大数据分析的交通非现场执法运输自动管理系统设计
Design of Transportation Automatic Management System for Traffic Off-Site Law Enforcement Based on Big Data Analysis
刘海涛1
作者信息
- 1. 广州聚杰智能称重实业公司有限公司,广东 广州 510897
- 折叠
摘要
随着交通体系的日益复杂和交通流量的持续增长,传统的交通管理和执法方式面临许多挑战.在此背景下,大数据技术的应用提供了一种创新的解决方案.综合探讨了大数据分析在交通管理中的应用,包括大数据技术在识别交通违规行为和提升执法效果方面的潜力.详细阐述了基于大数据分析的交通非现场执法运输自动管理系统的设计,包括系统违规行为分析算法、执法决策支持以及自动化执法流程,为交通管理领域提供了一种创新的技术应用方案.
Abstract
With the increasing complexity of the transportation system and the continuous growth of traffic flow,traditional traffic management and law enforcement methods are facing many challenges.In this context,the application of big data technology provides an innovative solution.This paper comprehensively explored the application of big data analysis in traffic management,including the potential of big data technology in identifying traffic violations and improving law enforcement effectiveness.This paper elaborates on the design of a traffic off-site law enforcement and transportation automatic management system based on big data analysis,including system violation behavior analysis algorithms,law enforcement decision support,and automated law enforcement processes,providing an innovative technical application solution for the field of traffic management.
关键词
交通体系/交通管理/大数据/交通非现场执法/运输自动管理/系统设计Key words
transportation system/traffic management/big data/traffic off-site law enforcement/automatic transportation management/system design引用本文复制引用
基金项目
&&(广科成登字[2023]B0119号)
出版年
2024
NETL
NSTL
万方数据