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Safe Route Mapping of Roadways Using Multiple Sourced Data
(
Institute of Electrical and Electronics Engineers
, 2022 , Article)
The use of systematic techniques with historical crash data and qualitative measures has long been a common practice to identify the problematic road features and develop countermeasures to mitigate the crash risk in ...
Improved Traffic Flow Efficiency during Yellow Interval at Signalized Intersections Using a Smart Countdown System
(
Institute of Electrical and Electronics Engineers
, 2022 , Article)
Inadequate and unnecessary stopping at signalized intersections reduces operational efficiency. The study aims at investigating the effect of a smart advanced warning system on driving behavior and the efficiency of ...
The impact of rural expressway environments: drivers’ attention allocation to variable message signs
(
Taylor & Francis
, 2022 , Article)
Variable Message Signs (VMS) are implemented at varying locations of the expressway. In this study, we compared the drivers’ attention allocation to a ‘drive safely’ message on several VMS gantries that were located at six ...
Safety and security perceptions in informal transport: the case of Tunisia
(
Taylor & Francis
, 2022 , Article)
This study aims to evaluate the perception of safety and security in informal transport in Tunisia. This research employs a questionnaire-based survey of passengers and drivers of informal transport in Tunisia. Interviews ...
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 ...
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 ...
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 ...
ANN-Based traffic volume prediction models in response to COVID-19 imposed measures
(
Elsevier
, 2022 , Article)
Many countries around the globe have imposed several response measures to suppress the rapid spread of the COVID-19 pandemic since the beginning of 2020. These measures have impacted routine daily activities, along with ...
Data-Driven Optimization for Dynamic Shortest Path Problem Considering Traffic Safety
(
IEEE
, 2022 , Article)
Traffic congestion is an inescapable problem that frustrates drivers in megacities. Although there is hardly a way to eliminate the congestion, it is possible to mitigate the impact through predictive methods. This paper ...
Smartphone-based Vehicle Telematics for Naturalistic Driving Studies
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Motor vehicle collisions (MVCs) are the eighth leading cause of death worldwide. Globally, there are 1.35 million deaths with 50 million injuries annually. It is important to understand and record how people drive and ...