A review of surrogate safety measures Uses in historical crash investigations
Historical road crash data are the main indicator for measuring road safety outcomes. Over
the past few decades, significant efforts have been made in obtaining and exploiting …
the past few decades, significant efforts have been made in obtaining and exploiting …
Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data
The objective of this research is to exploit high resolution driving behavior data collected via
sensors of smartphones from 303 drivers in order to examine driver behavior at road …
sensors of smartphones from 303 drivers in order to examine driver behavior at road …
Intersense: An XGBoost model for traffic regulator identification at intersections through crowdsourced GPS data
Digital maps of the transportation network are the foundation of future mobility solutions.
Autonomous and connected vehicles rely on real-time, at-scale updating of the environment …
Autonomous and connected vehicles rely on real-time, at-scale updating of the environment …
[HTML][HTML] Trip characteristics impact on the frequency of harsh events recorded via smartphone sensors
Abstract The Internet of Things (IoT) constantly offers new opportunities and features to
monitor and analyze driver behavior through wide use of smartphones, effective data …
monitor and analyze driver behavior through wide use of smartphones, effective data …
Real-time vehicle motion detection and motion altering for connected vehicle: Algorithm design and practical applications
Real-time capturing of vehicle motion is the foundation of connected vehicles (CV) and safe
driving. This study develops a novel vehicle motion detection system (VMDS) that detects …
driving. This study develops a novel vehicle motion detection system (VMDS) that detects …
“Texting & Driving” detection using deep convolutional neural networks
JM Celaya-Padilla, CE Galván-Tejada… - Applied Sciences, 2019 - mdpi.com
The effects of distracted driving are one of the main causes of deaths and injuries on US
roads. According to the National Highway Traffic Safety Administration (NHTSA), among the …
roads. According to the National Highway Traffic Safety Administration (NHTSA), among the …
Estimating the necessary amount of driving data for assessing driving behavior
AM Stavrakaki, DI Tselentis, E Barmpounakis… - Sensors, 2020 - mdpi.com
The aim of this paper was to provide a methodological framework for estimating the amount
of driving data that should be collected for each driver in order to acquire a clear picture …
of driving data that should be collected for each driver in order to acquire a clear picture …
[HTML][HTML] A reinforcement learning model for personalized driving policies identification
Optimizing driving performance by addressing personalized aspects of driving behavior and
without posing unrealistic restrictions on personal mobility may have far reaching …
without posing unrealistic restrictions on personal mobility may have far reaching …
[PDF][PDF] A Predictive Framework of Speed Camera Locations for Road Safety.
A Rhanizar, Z El Akkaoui - Comput. Inf. Sci., 2019 - pdfs.semanticscholar.org
Road traffic crashes are a public health issue due to their terrible impact on individuals,
communities, and countries. Studies affirmed that vehicle speed is a major contributor to …
communities, and countries. Studies affirmed that vehicle speed is a major contributor to …
Using passive data collection methods to learn complex mobility patterns: an exploratory analysis
B Toader, G Cantelmo, M Popescu… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Collecting detailed information about individual mobility behaviour is a fundamental step in
order to implement responsive solutions to mobility issues. One of the biggest challenges is …
order to implement responsive solutions to mobility issues. One of the biggest challenges is …