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Now showing items 41-50 of 53
Machine Learning Approach to Predict Metro Ridership based on Land Use Densities
(
Qatar University Press
, 2021 , Poster)
Predicting metro ridership is an essential requirement for efficient metro operation and management. The dependence of metro ridership on the land use densities entails a need for an accurate predictive model. To this end, ...
Application of Vehicle Restraint Systems (VRSs) in the State of Qatar: A Case Study from Northern Roads
(
Qatar Univesrity Press
, 2020 , Conference Paper)
Recent developments within Infrastructural Road Safety and especially in the Sector of
Vehicle Restraint Systems (VRS) have enabled Transport Authorities to significantly
reduce road fatalities and severe injuries. ...
Measuring sustainability, resilience and livability performance of European smart cities: A novel fuzzy expert-based multi-criteria decision support model
(
Elsevier Ltd
, 2023 , Article)
Cities of the 21st century are buffeted with challenges, leaving potentially serious consequences on the future of urban living. Smartening development in cities has reinvented hopes of melting down predicaments in the ...
GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
(
Elsevier Ltd
, 2023 , Article)
Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. This study aimed to investigate spatiotemporal road traffic crashes and ...
Exploratory study on self-awareness and self-preparedness of Malaysian rail passengers for emergency evacuations
(
Elsevier Ltd
, 2022 , Article)
This study explores the self-awareness and self-preparedness among Malaysian rail passengers during potential emergency evacuations. A questionnaire survey was carried out at a major rail transit terminal in Kuala Lumpur, ...
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 ...
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
A sleepy driver is arguably much more dangerous on the road than the one who is speeding as he is a victim of microsleeps. Automotive researchers and manufacturers are trying to curb this problem with several technological ...
Joint replenishment model for multiple products with substitution
(
Elsevier Inc.
, 2016 , Article)
We extend the classical economic order quantity model to address the joint replenishment of multiple products under substitution. The proposed model optimizes ordering quantities for each product under substitution effects ...
Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles
(
Springer Nature
, 2023 , Article)
Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In ...
How circular economy can reduce scope 3 carbon footprints: Lessons learned from FIFA world cup Qatar 2022
(
Elsevier
, 2023 , Article)
Mega sporting events (MSEs) such as the FIFA World Cup and the Olympics always attract people around the world to visit the hosting country, boosting its tourism and business, and leaving a positive legacy. However, such ...