基于大数据技术的公路运营监测与预测研究

Research on highway operation monitoring and prediction based on big data technology

摘要

随着大数据技术的迅速发展，公路运营监测与预测已成为交通管理领域的重要研究方向。传统的公路运营监测依赖人工巡检和传统的监测设备，存在数据实时性差、预测准确性低、决策支持不力等问题。基于大数据技术的公路运营监测与预测研究，利用实时交通流量数据、天气数据、路况数据等多种信息源，结合机器学习和人工智能算法，实现对公路运行状态的实时监控和对未来交通趋势的精准预测。本研究分析了大数据在公路运营中的应用现状，探讨了数据采集、处理、分析的关键技术，提出了一种基于大数据的公路运营监测与预测框架，并结合具体案例进行验证。

Abstract

With the rapid development of big data technology, highway operation monitoring and prediction has become an important research direction in the field of traffic management. Traditional highway operation monitoring relies on manual inspection and traditional monitoring equipment, which has problems such as poor real-time data, low prediction accuracy and poor decision support. The research on highway operation monitoring and prediction based on big data technology, using real-time traffic flow data, weather data, road condition data and other information sources, combined with machine learning and artificial intelligence algorithm, to realize real-time monitoring of highway operation state and accurate prediction of future traffic trends. This study analyzes the application status of big data in highway operation, discusses the key technologies of data acquisition, processing and analysis, and proposes a highway operation monitoring and prediction framework based on big data, and verifies it combined with specific cases.

关键词

大数据技术 / 公路运营 / 实时监测 / 交通预测 / 智能交通系统 / 数据分析

Key words

big data technology / highway operation / real-time monitoring / traffic forecast / intelligent transportation system / data analysis

参考文献

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