Browsing Qatar Transportation and Traffic Safety Center by Subject "Deep Learning"
Now showing items 1-3 of 3
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Applied Internet of Things IoT: Car monitoring system for Modeling of Road Safety and Traffic System in the State of Qatar
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)One of the most interesting new approaches in the transportation research field is the Naturalistic Driver Behavior which is intended to provide insight into driver behavior during everyday trips by recording details about ... -
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
( Elsevier B.V. , 2018 , Conference Paper)Road crashes and related forms of accidents are a common cause of injury and death among the human population. According to 2015 data from the World Health Organization, road traffic injuries resulted in approximately 1.25 ... -
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Qatar expects more than a million visitors during the 2022 World Cup, which will pose significant challenges. The high number of people will likely cause a rise in road traffic congestion, vehicle crashes, injuries and ...