[HTML][HTML] A systematic review on detection and prediction of driver drowsiness

ME Shaik - Transportation research interdisciplinary perspectives, 2023 - Elsevier
Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents,
which can result in fatalities, serious physical losses, large monetary losses, and significant …

Investigating the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine …

H Yue - Accident Analysis & Prevention, 2024 - Elsevier
Examining the relationship between streetscape features and road traffic accidents is pivotal
for enhancing roadway safety. While previous studies have primarily focused on the …

What makes accidents severe! explainable analytics framework with parameter optimization

A Ahmed, K Topuz, M Moqbel, I Abdulrashid - European Journal of …, 2024 - Elsevier
Most analytics models are built on complex internal learning processes and calculations,
which might be unintuitive, opaque, and incomprehensible to humans. Analytics-based …

Predicting and analyzing road traffic injury severity using boosting-based ensemble learning models with SHAPley Additive exPlanations

S Dong, A Khattak, I Ullah, J Zhou… - International journal of …, 2022 - mdpi.com
Road traffic accidents are one of the world's most serious problems, as they result in
numerous fatalities and injuries, as well as economic losses each year. Assessing the …

[HTML][HTML] Comparing the vibrational behaviour of e-kick scooters and e-bikes: Evidence from Italy

R Ventura, A Ghirardi, D Vetturi, G Maternini… - International Journal of …, 2023 - Elsevier
E-kick scooters are currently among the most popular emerging electric-powered Personal
micro–Mobility Vehicles (e-PMVs) and have recently been equated to e-bikes. However …

Prediction and interpretation of low-level wind shear criticality based on Its altitude above runway level: Application of Bayesian optimization–ensemble learning …

A Khattak, PW Chan, F Chen, H Peng - Atmosphere, 2022 - mdpi.com
Low-level wind shear (LLWS) is a rare occurrence and yet poses a major hazard to the
safety of aircraft. LLWS event occurrence within 800 feet of the runway level are dangerous …

[HTML][HTML] Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities

A Karim, MA Raza, YZ Alharthi, G Abbas… - World Electric Vehicle …, 2024 - mdpi.com
Intelligent transportation systems (ITSs) derive significant advantages from advanced
models like YOLOv8, which excel in predicting traffic incidents in dynamic urban …

Road urban planning sustainability based on remote sensing and satellite dataset: A review

KH Mhana, SB Norhisham, HY Katman, ZM Yaseen - Heliyon, 2024 - cell.com
Infrastructural development and urbanization effects have been investigated over the past
decades with novel approaches and adaptation strategies. Road network expansions are …

Application of Artificial Neural Network Approaches for Predicting Accident Severity on Rural Roads (Case Study: Tehran‐Qom and Tehran‐Saveh Rural Roads)

M Habibzadeh, M Ameri… - Mathematical …, 2022 - Wiley Online Library
Traffic accidents occur due to a combination of factors that lead to casualties and injuries. By
identifying the most effective factors, it is possible for safety authorities to provide appropriate …

Temporal impacts of road safety interventions: A structural-shifts-based method for road accident mortality analysis

AW Siddiqui, SA Raza, MA Elahi, KS Minhas… - Accident Analysis & …, 2022 - Elsevier
Extensive prior research has statistically analyzed the impact of infrastructural, policy, and
environmental factors on road accidents, injuries, and mortalities. Most of these studies …