A Study of Dynamic Travel Time Prediction in Urban Links
Date Issued
2007
Date
2007
Author(s)
Chen, Pao-Ju
DOI
zh-TW
Abstract
In recent years, there have been increased attention beging given to dynamic route guidance systems in the related literature. Dynamic path travel time information and route planning are increasingly important for dynamic route guidance systems because travelers are able to decide the departure time, transportations, and route planning.Travelears may use the route guidance systems when they are already on the cars, plan to drive cars, or plans to drive cars in the future.A number of studies have noted that the links travel time prediction information are the algorithmic basis for route guidance systems.Therefore, this study may be critically important in providing the links travel time prediction information on any occations for travelers .
However, there have been less researches on the dynamic links travel time information systems which satisfied travel needs of travels. The purpose of this study attempts is to develop a dynamic links travel time information system which satisfied travelers travel needs. In this research, we use three different methods, which are a-b-r filter algorithem, recursive least square algorithem and descrete Fourier transform algorithem.We use these algorithems to predict urban links travel time of different time horizon. On the other hand, in order to provide travelers with reliable travel time information, we construct suitable thresholds of algorithems based on the evaluation of predictive effects.
This research finds that the a-b-r filter algorithem and descrete Fourier transform algorithem is able to predict steady-state.Besides, the predictive algorithem and the threshold of algorithems are changeable with different week.
Subjects
路段旅行時間預測
a-b-r濾波器
遞迴最小平方
離散傅立葉
門檻值
Link travel time prediction
a-b-r filter
Recursive least square
Descrete Fourier transform
Threshold value
SDGs
Type
thesis
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