[HTML][HTML] A new pedestrian crossing level of service (PCLOS) method for promoting safe pedestrian crossing in urban areas

T Ahmed, M Moeinaddini, M Almoshaogeh… - International journal of …, 2021 - mdpi.com
Crosswalks are critical locations in the urban transport network that need to be designed
carefully as pedestrians are directly exposed to vehicular traffic. Although various methods …

Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study

A Jamal, M Zahid, M Tauhidur Rahman… - … journal of injury …, 2021 - Taylor & Francis
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …

Transparent deep machine learning framework for predicting traffic crash severity

K Sattar, F Chikh Oughali, K Assi, N Ratrout… - Neural Computing and …, 2023 - Springer
Abstract Analysis of crash injury severity is a promising research target in highway safety
studies. A better understanding of crash severity risk factors is vital for the proactive …

Road crash zone identification and remedial measures using GIS

VL Pusuluri, MR Dangeti, M Kotamrazu - Innovative infrastructure …, 2023 - Springer
Abstract According to the World Bank Report 2020, there is one fatal road crash every four
minutes globally. Loss of lives and limbs seriously hampers the livelihood of the victims and …

[HTML][HTML] On the potential impacts of smart traffic control for delay, fuel energy consumption, and emissions: An NSGA-II-based optimization case study from Dhahran …

M Al-Turki, A Jamal, HM Al-Ahmadi, MA Al-Sughaiyer… - Sustainability, 2020 - mdpi.com
Intelligent traffic control at urban intersections is vital to ensure efficient and sustainable
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …

[HTML][HTML] Traffic accident risk assessment framework for qassim, saudi arabia: Evaluating the impact of speed cameras

M Almoshaogeh, R Abdulrehman, H Haider, F Alharbi… - Applied Sciences, 2021 - mdpi.com
Saudi Arabia is one of the countries with the highest number of road accidents and
associated fatalities in the world. Speeding has been identified as an important cause of …

[HTML][HTML] Exploring the injury severity risk factors in fatal crashes with neural network

A Jamal, W Umer - International Journal of Environmental Research and …, 2020 - mdpi.com
A better understanding of circumstances contributing to the severity outcome of traffic
crashes is an important goal of road safety studies. An in-depth crash injury severity analysis …

[HTML][HTML] GLM-based flexible monitoring methods: an application to real-time highway safety surveillance

A Jamal, T Mahmood, M Riaz, HM Al-Ahmadi - Symmetry, 2021 - mdpi.com
Statistical modeling of historical crash data can provide essential insights to safety
managers for proactive highway safety management. While numerous studies have …

[HTML][HTML] An integrated fuzzy analytic hierarchy process (AHP) model for studying significant factors associated with frequent lane changing

S Moslem, D Farooq, A Jamal, Y Almarhabi… - Entropy, 2022 - mdpi.com
Frequent lane changes cause serious traffic safety concerns, which involve fatalities and
serious injuries. This phenomenon is affected by several significant factors related to road …

[HTML][HTML] Assessment of significant factors affecting frequent lane-changing related to road safety: An integrated approach of the AHP–BWM model

D Farooq, S Moslem, A Jamal, FM Butt… - International journal of …, 2021 - mdpi.com
Frequent lane changes cause serious traffic safety concerns for road users. The detection
and categorization of significant factors affecting frequent lane changing could help to …