Nakata, Ichiro creator Miyamoto, Kazuaki Chairperson Murata, Takahiro Examination Committee Prapansak Buranaprapa Examination Committee Government of Japan Scholarship Donor text th Bangkok Asian Institute of Technology 1986 monographic eng

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51 p. Traffic forecast is now very impormant because recent traffic increase has much influence on social problems. One of the typical forecast methods is the Box-Jenkins method. But,in developing countries it sometimes happens that the data size is insufficient for analysis. This is the result of testing the appropriacy of the Box-Jenkins method for traffic volume with small-scale data . This research establishs two kinds of method to forecast traffic volume throughout Thailand. One method uses the Box-Jenkins method directly to forecast the data in time series. The other method is a combination of the Box-Jenkins Method and a cross-sectional model. The investigation carried out through a comparison between these two methods to determine which method is more precise. The study reveals that the Box-Jenkins method is not applicable for the forecasting of small-scale traffic volume . More accurate and more detailed data collection and model improvement to decrease the forecast errors are recommended. A thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering School of Engineering and Technology Thesis (M.Eng.) - Asian Institute of Technology, 1986 Traffic flow Time-series analysis Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B19667 http://203.159.5.9/ait-thesis/detail.php?q=B19667 020299 20260817162820.0