Using Machine Learning to Predict Injury Severity of Road Traffic Accidents During New Year Festivals from Thailand's Open Government Data
E Boonserm, N Wiwatwattana - 2021 9th International Electrical …, 2021 - ieeexplore.ieee.org
The fast-rising number of vehicles on the road has resulted in a matching number of traffic
accidents, especially during long holidays when people travel back home. A better
understanding of the risk factors leading to traffic accidents may help decrease the number
and prevent severe injuries and deaths. This paper addresses the imbalanced binary
classification problem of predicting injury severity of road traffic accidents during Thailand's
new year festivals using Thailand's open government data. Random undersampling …
accidents, especially during long holidays when people travel back home. A better
understanding of the risk factors leading to traffic accidents may help decrease the number
and prevent severe injuries and deaths. This paper addresses the imbalanced binary
classification problem of predicting injury severity of road traffic accidents during Thailand's
new year festivals using Thailand's open government data. Random undersampling …
USING MACHINE LEARNING TO PREDICT INJURY SEVERITY OF ROADTRAFFIC ACCIDENTS DURING NEW YEAR FESTIVALSFROM THAILAND'S OPEN …
E BOONSERM, N Wiwatwattana - 2021 - ir-ithesis.swu.ac.th
The fast-rising number of vehicles on the road resulted in a matching number of traffic
accidents, especially during long holidays when people travel back home. A better
understanding of the risk factors leading to traffic accidents may help decrease the number
and to prevent severe injuries and deaths. This research addressed the imbalanced binary
classification problem of predicting injury severity of road traffic accidents during New Year
festivals in Thailand using open government data. Random undersampling and …
accidents, especially during long holidays when people travel back home. A better
understanding of the risk factors leading to traffic accidents may help decrease the number
and to prevent severe injuries and deaths. This research addressed the imbalanced binary
classification problem of predicting injury severity of road traffic accidents during New Year
festivals in Thailand using open government data. Random undersampling and …
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