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    Item type:Publication,
    Estimation and analysis of Thai national freight demands from GPS data
    (2018-01-01)
    Siripirote, Treerapot
    ;
    Sumalee, Agachai
    ;
    Ho, H. W.
    ;
    Chankaew, Nattaphon
    ;
    Jedwanna, Krit
    Freight transport has been increased in both demand and distance travelled in recent years due to the changes in consumer purchasing patterns and the improvements in the transportation systems. Such increases cause serious adverse impacts on traffic conditions and air qualities. This paper proposes a framework that make use of passively collected truck Global Positioning System (GPS) data and link counts in the estimation of national freight demands, which are the crucial quantities in the design of management and remedial measures. Effective truck stops and the corresponding activities will be determined from the GPS data and used in estimating the observed freight demands. Such observed demands will be used with the link counts to determine the national freight demands. An empirical example from Thailand is adopted in this paper to illustrate the proposed framework in estimating the national freight demands from GPS data and link counts.
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    Item type:Publication,
    Empirical experiment on origin destination estimation using automatic licence plate matching on a rural road of Thailand
    (2017-10-19)
    Watanachaturaporn, Pakorn
    ;
    Chalermwongphan, Karn
    ;
    Huntajidkul, Achaya
    ;
    Vongchumyen, Charoen
    ;
    Watthanakul, Jettarin
    The growth of economic influences city authorities to plan and build infrastructure. The growth prediction mostly uses modern mathematical models. The accuracy of the model is highly depended on reliable parameters. Two crucial parameters for most models are traffic capacity and average travel speed along road networks and obtained from an origin-destination (OD) estimation. Thus, an OD estimation is necessary to obtain reliable parameters for the predictive models. Traditionally, the OD estimation is performed by human observation; however, an automatic license plate recognition and matching algorithm show potential of obtaining such data. Additionally, the observation is able to perform long term observation which is impractical for human. Therefore, this paper reports an empirical experiment on OD estimation using automatic license plate matching along with a real-world human observation survey in Mukdahan province. The results from both types of surveys are reported and compared. The different results between the both raises an opportunity for researching an optimal method of OD estimation in Thailand.