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作 者:王倍力 Wang Beili
机构地区:[1]西安公路研究院有限公司,陕西西安710000
出 处:《时代汽车》2025年第4期169-171,共3页Auto Time
摘 要:随着智能交通系统的发展和大数据技术的广泛应用,高速公路车辆监控系统在复杂环境下的监控精度和实时响应能力成为关键挑战。本文探讨了数据迭代技术在高速公路车辆监控系统中的优化应用,分析了多项策略的实际应用。同时展示了数据迭代技术如何通过多轮数据处理优化系统性能,提高监控精度、实时性和智能化水平,从而有效提升突发事件处理的效率,并为交通管理提供决策支持,意在为高速公路交通安全与效率的提升提供了技术保障。With the development of intelligent transportation system and the wide application of big data technology,the monitoring accuracy and real-time response ability of highway vehicle monitoring system in complex environment have become a key challenge.This paper discusses the optimal application of data iteration technology in highway vehicle monitoring system,and analyzes the practical application of a number of strategies.At the same time,it shows how the data iteration technology can optimize the performance of the system through multiple rounds of data processing,improve the monitoring accuracy,real-time and intelligent level,so as to effectively improve the efficiency of emergency handling,and provide decision-making support for traffic management,which is intended to provide technical support for the improvement of highway traffic safety and efficiency.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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