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Prediction of Travel Time in Urban District Based on State Equation

机译:基于状态方程的市区出行时间预测

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The presentation of travel time information to drivers is one of the important roles of information systems concerned with road traffic. This paper proposes a method for predicting the travel time in urban districts using travel time data from the small sections which make up a route. The forecasting model consists of past time series data on the travel times in the small sections. The travel time for the route in the near future and its accuracy are estimated by using a state equation of the forecasting model. The validity of the method is verified using real data. Validation showed that the prediction error was approximately 2.5 minutes. Generally, for 50 minutes of travel time, it is desirable that the prediction error be within 5 minutes. Therefore, this result appears satisfactory for practical use.
机译:向驾驶员显示出行时间信息是与道路交通有关的信息系统的重要角色之一。本文提出了一种使用组成路线的小区间中的旅行时间数据来预测市区旅行时间的方法。预测模型由过去时间序列数据组成,涉及小区间的旅行时间。通过使用预测模型的状态方程,可以估算出该路线在不久的将来的行驶时间及其准确性。使用真实数据验证了该方法的有效性。验证显示预测误差约为2.5分钟。通常,对于50分钟的行驶时间,期望预测误差在5分钟以内。因此,该结果对于实际使用显得令人满意。

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