A new pedestrian crossing level of service (PCLOS) method for promoting safe pedestrian crossing in urban areas
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 …
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 better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
Transparent deep machine learning framework for predicting traffic crash severity
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 …
studies. A better understanding of crash severity risk factors is vital for the proactive …
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw
Motorcycles and motorcyclists have a variety of attributes that have been found to be a
potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …
potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …
A deep-learning approach to driver drowsiness detection
MIB Ahmed, H Alabdulkarem, F Alomair, D Aldossary… - Safety, 2023 - mdpi.com
Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …
become an essential task to seek an understanding of the situation in order to be able to …
Intelligent intersection control for delay optimization: Using meta-heuristic search algorithms
Traffic signal control is an integral component of an intelligent transportation system (ITS)
that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient …
that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient …
A fuzzy-logic approach based on driver decision-making behavior modeling and simulation
AIM Almadi, RE Al Mamlook, Y Almarhabi, I Ullah… - Sustainability, 2022 - mdpi.com
The present study proposes a decision-making model based on different models of driver
behavior, aiming to ensure integration between road safety and crash reduction based on …
behavior, aiming to ensure integration between road safety and crash reduction based on …
Predicting road crash severity using classifier models and crash hotspots
The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …
scenario. Additionally, it has increased the number of road crashes, some of which are …
On the potential impacts of smart traffic control for delay, fuel energy consumption, and emissions: An NSGA-II-based optimization case study from Dhahran, Saudi …
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 …
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …
Traffic accident risk assessment framework for qassim, saudi arabia: Evaluating the impact of speed cameras
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 …
associated fatalities in the world. Speeding has been identified as an important cause of …