Short-term traffic prediction based on historical trend method

Wenzhuo Yang
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Abstract

With the rapid development of China’s economy, people’s lives are getting richer and richer, and more people have higher requirements for transportation comfort and convenience, resulting in a substantial increase in the number of vehicles in our country, rapid growth in road traffic demand, and road traffic conditions have also become a focus of increasing concern. The rapid increase of traffic accidents and traffic congestion has seriously affected the operational efficiency of road traffic. According to the development needs of intelligent transportation, to improve the safety and operating efficiency of road traffic, it is particularly important to monitor and predict road traffic. Based on the traffic information data collected on the two-way four-lane section of the Langfang section of the Beijing-Tianjin-Tanggu expressway, the traffic condition was predicted using the historical trend method. This paper established a mathematical model of the historical trend method using MATLAB, solved the smoothing parameters, and plotted the short traffic forecast chart.
基于历史趋势的短期流量预测方法
随着中国经济的快速发展,人们的生活越来越富裕,更多的人对交通的舒适性和便利性有了更高的要求,导致我国车辆数量大幅增加,道路交通需求快速增长,道路交通状况也成为人们日益关注的焦点。交通事故和交通拥堵的迅速增加,严重影响了道路交通的运行效率。根据智能交通的发展需要,为了提高道路交通的安全性和运行效率,对道路交通进行监测和预测显得尤为重要。以京津唐高速公路廊坊段双向四车道路段的交通信息数据为基础,采用历史趋势法对该路段的交通状况进行预测。本文利用MATLAB建立了历史趋势法的数学模型,求解了平滑参数,绘制了短时交通预测图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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