Forecasting model of Traffic Volume in Urban inter-section
Date Issued
2006
Date
2006
Author(s)
lee, Yi-Chun
DOI
zh-TW
Abstract
Because growing of living standards grows, the number of private automobile increase at the same time. Also, in recent days, “time” is money, all drivers wish to arrive the destination as fast as possible. In order to research the goal, the short-term forecasting is a key point. The forecasting ability becomes the main factor of the future for transportation.
There are a lot of studies for traffic volume forecasting, especially the pass decade. There are variety methodologies and technologies aiming at this issue. In this research, it is expected to improve the traffic forecasting ability. Now, most internal research of short-term forecasting believe that the change of traffic volume is non-linear. And most research use the fixed “time step”. Such as: five minutes, ten minutes, fifteen minutes.
However, the volume of traffic should have relations with the control of traffic light. In this research, I will use the time-series models, and set the time interval as the integer times of traffic light in order to understand the regular pattern of traffic volume.
Subjects
交通量預測
Forecasting of traffic Volume
SDGs
Type
thesis
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