Vanishkorn, Buddhaporn

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Preferred name
Vanishkorn, Buddhaporn
Alternative Name
Vanishkorn, B.
Main Affiliation
Email
buddhaporn.va@kmitl.ac.th

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    Item type:Publication,
    Crash Severity Classification Prediction and Factors Affecting Analysis of Highway Accidents
    (2022-01-01)
    Vanishkorn, Buddhaporn
    ;
    Supanich, Weeriya
    Every day 3,700 people died in road crashes and many more suffer serious injuries. Road traffic collisions are not accidents; they are things that can be avoided. This paper's objective was to develop a crash severity classifier based on previous road accident open data from the Ministry of Transport, Thailand. The confusion matrix was used as performance evaluation. The results found that the Gradient Boosting classifier outperforms other models. In addition, the identification of factors affecting crash severity is analyzed using the Shapley additive explanations (SHAP). The output revealed that features that contribute to a positive impact on more fatal accident severity are the number of trailers involved, tollway collisions, and overturn crashes. Whereas, the number of motorcycles associated, night-time collisions, and rear-end crashes gave a negative impact on the severity which led to lower injuries.
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    The Analysis of Mobility Patterns during the COVID-19 Pandemic in Thailand Using Time Series Clustering
    (2023-01-01)
    Supanich, Weeriya
    ;
    Kulkarineetham, Suwanee
    ;
    Vanishkorn, Buddhaporn
    The COVID-19 pandemic has affected the lives, health, economics, and travel of all nations, including Thailand. The purpose of this study is to investigate human mobility patterns during the pandemic. We opted to use the public transportation data from January 1st, 2020 until September 28th, 2022 collected from the Ministry of Transport, Thailand as a data source. We conducted a time series study on trend and seasonality patterns, as well as clustering analysis. It can be concluded that public buses and Bangkok electric trains, nationwide state trains and domestic air travel are the two pairs of public transportation with the most similar usage patterns. Moreover, the majority of personal car travel patterns are quite similar to public buses and Bangkok electric trains during some periods.