Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations

I Ullah, K Liu, T Yamamoto, M Zahid… - International Journal of …, 2022 - Wiley Online Library
Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …

Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces

T Ahmed, A Pirdavani, D Janssens, G Wets - Sustainability, 2023 - mdpi.com
Vibration from bicycle infrastructure affects the cyclists' comfort and the choice of this
transportation mode. This study uses smart portable bicycle lights to measure the vibration …

Analysis of traffic accidents in Saudi Arabia: safety effectiveness evaluation of SAHER enforcement system

HM Al-Ahmadi - Arabian Journal for Science and Engineering, 2023 - Springer
Traffic accidents have become a threatening socioeconomic concern worldwide. The global
annual deaths and injuries toll from traffic accidents are estimated to be around 1.35 and 50 …

[HTML][HTML] Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks

MMR Komol, M Elhenawy, J Pinnow… - Machine Learning and …, 2024 - mdpi.com
Red-light running at signalised intersections poses a significant safety risk, necessitating
advanced predictive technologies to predict red-light violation behaviour, especially for …

Reducing red light running (RLR) with adaptive signal control: A case study

H Li, X Chang, P Lu, Y Ren - Electronics, 2023 - mdpi.com
Traffic accidents are a leading cause of premature death for citizens, with millions of injuries
and fatalities occurring annually. Due to the fact that a large proportion of accidents are …

[HTML][HTML] Efficiency Assessment of New Signal Timing in Saudi Arabia Implementing Flashing Green Interval Complimented with Law Enforcement Cameras

MS Alfawzan, A Aftab - Sustainability, 2022 - mdpi.com
Traffic congestion at intersection is one of the significant socioeconomic concerns
worldwide. To tackle this challenge, researchers and practitioners are researching and …

[PDF][PDF] Evaluating the Effectiveness of the SAHER System in Enhancing Road Safety: Insights from Experts on Traffic Accidents in Dammam Metropolitan Area, Saudi …

A Alobaidallah, AM Alqahtany, KM Maniruzzaman - 2025 - preprints.org
Road traffic accidents are a major global challenge, causing significant public health and
economic burdens. In Saudi Arabia, the rapid increase in motorization and urbanization has …

Analysis and Automatic Detection of Pedestrians Running Red Light at Signal Intersection

A Sun, X Zhao, X Sun - CICTP 2024, 2024 - ascelibrary.org
This article delves into urban road signal intersections, employing a combination of field
research and survey methods. It synergizes with the logic regression theory to distill the …

Application of Random Forest Model for Traffic Accidents Severity Prediction in Qassim Province of Saudi Arabia

M Almoshaogeh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Traffic related injuries have become a threatening socio-economic dilemma in the Kingdom
of Saudi Arabia (KSA), accounting for third leading source of mortalities in the country. Al …

[PDF][PDF] An Efficient System for Detecting Multiple Traffic Violations and Recognizing License Plates Using Video Processing and Deep Learning

AQ Abd Ali, HR Farhan, MS Kod, KR Singh - researchgate.net
Traffic violations cause significant problems such as congestion, accidents, and deaths. It is
highly desirable to have an effective automated system to detect and record these violations …