Location
Virtual - Microsoft Teams Meeting
Start Date
2-7-2020 4:45 PM
End Date
2-7-2020 5:00 PM
Timezone
Ethiopian Time
Start Date (EST)
July 2020
End Date (EST)
July 2020
Description
This study tries to uncover which factor could be associated with Addis Ababa City rode traffic accident and implicate drivers driving behaviors based on the data collected from post-accident. Which is the capital city of Ethiopia. The main objective of this research is Appling data mining technique to explore on factors that could associated with drivers related factors with road traffic accident to provide an insight way to reduce road traffic accident. The data was collected from road traffic accident from the real-world data collected at accident time in Addis Ababa City/Ethiopia. Totally 4285 datasets with 20 attributes were used. Which includes relevant attributes contains information about road, driver, vehicles and accident and other related variables. Finally, in the result implies novel association rules were identified, especially the male drivers’ behaviors has indicated associated with speed driving behaviors and this implies need further investigated with behavioral science approach for more specific result.
Predicting Factors Contributing to Road Traffic Accident and Implying Driver’s Driving Behavior in Addis Ababa City,
Virtual - Microsoft Teams Meeting
This study tries to uncover which factor could be associated with Addis Ababa City rode traffic accident and implicate drivers driving behaviors based on the data collected from post-accident. Which is the capital city of Ethiopia. The main objective of this research is Appling data mining technique to explore on factors that could associated with drivers related factors with road traffic accident to provide an insight way to reduce road traffic accident. The data was collected from road traffic accident from the real-world data collected at accident time in Addis Ababa City/Ethiopia. Totally 4285 datasets with 20 attributes were used. Which includes relevant attributes contains information about road, driver, vehicles and accident and other related variables. Finally, in the result implies novel association rules were identified, especially the male drivers’ behaviors has indicated associated with speed driving behaviors and this implies need further investigated with behavioral science approach for more specific result.
