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Now showing items 71-80 of 166
Using driving simulator to study the effect of crash fact signs on speeding behaviour along freeways
(
Taylor & Francis
, 2022 , Article)
A driving simulator study was utilized to evaluate a potential countermeasure for speeding behaviour in order to reduce speed spillover. The behaviour of 56 subjects was observed. Participants drove a freeway for 5300 ...
Road safety status during COVID-19 pandemic: exploring public and road safety expert’s opinions
(
Taylor & Francis
, 2022 , Article)
The main objective of this study is to investigate the status of traffic safety and the public perception of traffic safety during the during COVID-19 pandemic. Three different data sets are used in this study: road crash ...
Experiences with licensing by autistic drivers: An exploratory study
(
Elsevier B.V.
, 2022 , Article)
Autistic individuals obtain their driver's licenses significantly less or significantly later than non-autistic peers. In the past, research has been done on what problems autistic individuals experience when (learning to) ...
A study on the determinants of Ethiopian minibus taxi drivers' speeding behaviour: An application of the 'major theorists' model
(
Elsevier B.V.
, 2022 , Article)
Speeding is the most common road safety problem that results in many traffic accidents in Addis Ababa, Ethiopia. Minibus taxis substantially contribute to speed-related road traffic crashes in Addis Ababa. This study aimed ...
Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning
(
Taylor & Francis
, 2022 , Article)
Driving behavior is considered as a unique driving habit of each driver and has a significant impact on road safety. This study proposed a novel data-driven Machine Learning framework that can classify driving behavior at ...
Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study
(
Elsevier
, 2020 , Article)
The change interval, which includes the yellow and all-red times, plays a crucial role in the safety and operation of signalized intersections. During this interval, drivers not only need to decide to stop or go but also ...
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
(
Elsevier
, 2021 , Article)
This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected ...
Examining the role of road safety audits worldwide: exploring road safety expert’s opinions
(
Taylor & Francis
, 2022 , Article)
Road safety audit (RSA) is a method used to proactively identify safety risks in road projects from planning, design, and construction stages. The effectiveness of the implementation of RSAs varies across the globe. This ...
Exploring the impacts of COVID-19 on travel behavior and mode preferences
(
ElsevierLtd.
, 2020 , Article)
Various measures were recommended or imposed by the governments to control the spread of COVID-19. Travel behaviors are significantly influenced due to such measures. However, people have various travel needs ranging from ...
Pedestrian flow characteristics through different angled bends: Exploring the spatial variation of velocity
(
Public Library of Science (PLOS)
, 2022 , Article)
Common geometrical layouts could potentially be bottlenecks, particularly during emergency and high density situations. When pedestrians are interacting with such complex geometrical settings, the congestion effect might ...