Efficient histogram-based gradient boosting approach for accident severity prediction with multisource data

M Tamim Kashifi, I Ahmad - Transportation research record, 2022 - journals.sagepub.com
Many people lose their lives in road accidents because they do not receive timely treatment
after the accident from emergency medical services; providing timely emergency services …

[HTML][HTML] Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis

MT Kashifi - IATSS research, 2023 - Elsevier
The use of two-wheelers (TWs) has gained popularity as an alternative to personal vehicles
due to their flexibility, fuel economy, ease of parking, and size, especially in congested cities …

[HTML][HTML] Multilevel mixed-effects models to identify contributing factors on freight vehicle crash severity

S Park, J Park - Sustainability, 2022 - mdpi.com
Freight vehicle crashes are more serious than regular vehicle crashes because they are
likely to lead to major damage and injury once they occur; therefore, countermeasures are …

Deep Hybrid Attention Framework for Road Crash Emergency Response Management

MT Kashifi - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Road traffic crash is a global tragedy that leads to economic loss, injury, and fatalities.
Understanding the severity of a road crash at the early stages is vital to timely providing …

Generalized ordered logit analysis on the injury severity of traffic crashes by older drivers: the case of South Korea

THT Gim - International Journal of Urban Sciences, 2022 - Taylor & Francis
With a case of South Korea, this study attempts to analyze how the severity of traffic crashes
for which older drivers are at fault is associated with road/environmental/seasonal/weather …

[HTML][HTML] Assessment of crash prediction models for intersections with severity weight parameters using data science approaches

S Son, J Park - Journal of Korean Society of Transportation, 2022 - jkst.or.kr
In this study, crash prediction models for urban intersections were developed using an index
as dependent variables reflecting the crash severity weight from data mining technique. In …

Prediction of Severities of Rental Car Traffic Accidents using Naive Bayes Big Data Classifier

H Jeong, H Kim, S Park, E Han, KH Kim… - The Journal of The …, 2017 - koreascience.kr
Traffic accidents are caused by a combination of human factors, vehicle factors, and
environmental factors. In the case of traffic accidents where rental cars are involved, the …

[PDF][PDF] Development of Traffic Accident Index Considering Driving Behavior of a Data Based

S Lee, H Chang, S Cheon, S Baek… - Journal of Korean Society …, 2016 - koreascience.kr
Highway is mainly in charge of middle-long distance of vehicular travel. Trip length has
shown a growing trend due to increased commute distances by the relocation of public …

[PDF][PDF] 데이터마이닝기반의사고심각도가중치적용예측변수를활용한교차로사고예측모형개발

손승오, 박준영 - Journal of Korean Society of Transportation, 2022 - static4.apub.kr
초록본 연구에서는 데이터마이닝 기법을 통해 도출한 사고심각도 가중치를 적용한 환산
사고건수를 종속변수로 하는 도심부 교차로 사고예측모형을 개발하였다. 일반적으로 …

[PDF][PDF] 데이터기반의도로구간별운전자의통행행태를고려한교통사고지표개발

이숭봉, 장현호, 천승훈, 백승걸, 이영인 - 대한교통학회지, 2016 - academia.edu
초록고속도로는 중· 장거리 차량 통행을 담당하고 있으며, 공공기관들의 지방이전 등으로 인해
직장과 거주지 간의 거리가 멀어짐에 따라 운전자들의 통행거리는 증가 추세를 보이고 있다 …