An analysis of severity of oil spill caused by vessel accidents

E Cakir, C Sevgili, R Fiskin - Transportation Research Part D: Transport and …, 2021 - Elsevier
Marine pollution, especially oil spill-based, affects both marine and coastal environment is
one of the most important issues for the maritime industry. The accurate prediction of the …

Comparison of traffic accident injury severity prediction models with explainable machine learning

E Cicek, M Akin, F Uysal, RM Topcu Aytas - Transportation letters, 2023 - Taylor & Francis
Traffic accidents are still the main cause of fatalities, injuries and significant delays in
highways. Understanding the accident contributing factor is imperative to increase safety in …

Decision tree and logistic regression analysis to explore factors contributing to harbour tugboat accidents

R Fiskin, E Cakir, C Sevgili - The Journal of Navigation, 2021 - cambridge.org
As tugboats interact very closely with ships in restricted waters, the possibility of accidents
increases in these operations. Despite the high accident possibility, there is a gap in studies …

Applicability of an automatic pneumatic–tube–based traffic counting device for collecting data under mixed traffic

OC Puan, NSM Nor, N Mashros… - IOP Conference Series …, 2019 - iopscience.iop.org
Traffic volume and composition data can be collected using several techniques such as
manual, camera video recordings and automatic traffic count devices installed across the …

[HTML][HTML] Analysis of Factors Associated with Highway Personal Car and Truck Run-Off-Road Crashes: Decision Tree and Mixed Logit Model with Heterogeneity in …

T Champahom, P Wisutwattanasak, C Se, C Banyong… - Informatics, 2023 - mdpi.com
Among several approaches to analyzing crash research, the use of machine learning and
econometric analysis has found potential in the analysis. This study aims to empirically …

Calculating Driving Behaviour Score Based on Driving Background

N Nadimi, E Sheikh Hosseini Lori, A Arun… - International Journal of …, 2024 - Springer
Improving driving behaviour can be a fruitful intervention to improve traffic safety. This paper
proposes a method to determine a driving behaviour score (DBS) for each driver based on …

Road traffic accidents in Morocco: exploratory analysis of driver, vehicle, and pedestrian factors

H Khyara, A Amine, B Nassih - SN Computer Science, 2022 - Springer
Road safety is a major concern for both personal safety and public health in Morocco. The
Ministry of Equipment, Transport, Logistics, and Water (METLW) reported that in 2017, there …

Exploratory analysis of driver and vehicle factors associated with traffic accidents in Morocco

H Khyara, A Amine, B Nassih - International Conference on Intelligent …, 2022 - Springer
In Morocco, road safety corresponds to a major public health and personal protection issue.
According to statistics from the Ministry of Equipment, Transport, Logistics, and Water …

Risk and Uncertainty in the Medan-Binjai Toll Road Infrastructure Project, Indonesia Based on the Stochastic Analyzes

A Sandhyavitri, A Malik, I Suprayogi, M Fauzi… - European Journal of …, 2018 - ej-eng.org
This paper demonstrates state of the arts stochastic risk analyzes in assisting decision-
making processes in achieving the project objectives in terms of the estimating project costs …

[PDF][PDF] Investigating Key Factors Influencing the Severity of Drivers Injuries in Car Crashes Using Supervised Machine Learning Techniques.

MF Aljarrah, MA Khasawneh, AA Al-Omari - Journal of Engineering …, 2019 - jestr.org
Limiting number of fatalities and reducing injury severity of car crashes is a continuing global
concern. This study investigates crash risk factors including driver, vehicle, roadway, and …