[HTML][HTML] Developing new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity

V Astarita, SS Haghshenas, G Guido, A Vitale - Transportation Engineering, 2023 - Elsevier
With more cars on the road and an increasing travel rate, one of the main issues in
transportation engineering is how to make roads safe. The evaluation of the level of road …

Influence of physiological, psychological and environmental factors on passenger ship seafarer fatigue in real navigation environment

L Yang, L Li, Q Liu, Y Ma, J Liao - Safety science, 2023 - Elsevier
The occurrence of passenger ship accidents can easily cause a large number of casualties.
Seafarers of deck department on passenger ships are prone to fatigue in complex …

Comparative Analysis of Parametric and Non-Parametric Data-Driven Models to Predict Road Crash Severity among Elderly Drivers Using Synthetic Resampling …

M Alrumaidhi, MMG Farag, HA Rakha - Sustainability, 2023 - mdpi.com
As the global elderly population continues to rise, the risk of severe crashes among elderly
drivers has become a pressing concern. This study presents a comprehensive examination …

The association of long-term exposure to outdoor air pollution with all-cause GP visits and hospital admissions by ethnicity and country of birth in the United Kingdom

M Abed Al Ahad - Plos one, 2023 - journals.plos.org
Background Air pollution is associated with poor health. Yet, more research is needed to
reveal the association of long-term exposure to outdoor air pollution with less studied health …

Differential impacts of road diets on driving behavior among older adults with and without preclinical Alzheimer's pathology

JK Wisch, J Kianfar, DB Carr, AD Dickerson… - … research part F: traffic …, 2023 - Elsevier
The driving populace of the United States is aging. The prevalence of Alzheimer disease
(AD) will increase in the coming decades. Road diets (that is, the reallocation of one or more …

Investigating older driver crashes on high-speed roadway segments: a hybrid approach with extreme gradient boosting and random parameter model

A Hossain, X Sun, S Das, M Jafari… - … A: Transport Science, 2024 - Taylor & Francis
Older drivers are often more susceptible to crashes due to age-related physical and
cognitive limitations, particularly in complex driving environments. Considering the limited …

An Econometric Analysis to Explore the Temporal Variability of the Factors Affecting Crash Severity Due to COVID-19

M Alrumaidhi, HA Rakha - Sustainability, 2024 - mdpi.com
This study utilizes multilevel ordinal logistic regression (M-OLR), an approach that accounts
for spatial heterogeneity, to assess the dynamics of crash severity in Virginia, USA, over the …

Examining the effects of climate change perception and commuting experience on the willingness to pay for micro-transit service in Tampa, FL

W Zhai, S Gao, M Liu, D Wei - Humanities and Social Sciences …, 2023 - nature.com
As cities increasingly look for sustainable transportation options to alleviate congestion and
solve the “first mile, last mile” problem, micro-transit has emerged as a promising solution …

Can Social Robots Enhance Customer Satisfaction with Hotels? An Emotional Perspective

GW Premathilake, H Li, Y Bai - 2023 - aisel.aisnet.org
Recently, social robots have been employed in hotels to deliver their services. Nevertheless,
there is a lack of knowledge on whether robotic services could enhance customer …

Modeling Crashes Severity Using Ensemble Techniques

T Alhadidi, M Elhenawey - The Eurasia Proceedings of Science …, 2023 - epstem.net
Traffic crashes are modelled using different techniques and contributing factors. In this work,
several ensemble machine learning algorithms were used to model crash severity at urban …