Browsing Qatar Transportation and Traffic Safety Center by Subject "Machine learning"
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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 ... -
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, ... -
Urban resilience and livability performance of European smart cities: A novel machine learning approach
( Elsevier , 2022 , Article)Smart cities are centres of economic opulence and hope for standardized living. Understanding the shades of urban resilience and livability in smart city models is of paramount importance. This study presents a novel ...