1 AIT Asian Institute of Technology

Applicability of the time series analysis techniques for traffic volume forecast in developing countries

AuthorNakata, Ichiro
Call NumberAIT Thesis no.GT-85-07
Subject(s)Traffic flow
Time-series analysis

NoteA thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering School of Engineering and Technology
PublisherAsian Institute of Technology
AbstractTraffic 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.
Year1986
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentOther Field of Studies (No Department)
Academic Program/FoSGeotechnical and Transportation Engineering (GT)
Chairperson(s)Miyamoto, Kazuaki;
Examination Committee(s)Murata, Takahiro ;Prapansak Buranaprapa;
Scholarship Donor(s)Government of Japan ;
DegreeThesis (M.Eng.) - Asian Institute of Technology, 1986


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