Titlebook: Data Analytics: Paving the Way to Sustainable Urban Mobility; Proceedings of 4th C Eftihia G. Nathanail,Ioannis D. Karakikes Conference pro

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https://doi.org/10.1007/978-2-287-79848-1related to the third model is also developed for foreground segmentation. Using a real video dataset, a constrained optimization is performed to determine the optimal values of model parameters, where the feasible regions of the parameters are obtained graphically. The model validation using a separ

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Trip Generation Rates for a University Campus: The Case of the Aristotle University of Thessaloniki,nine (9) Faculties of AUTh, which were examined in the research, was collected during the questionnaire-based survey. A total number of nine (9) questions were included in the questionnaires, aiming at the determination of the trip generation rates in the University campus. Linear regression analysi

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Combining Land Use, Traffic and Demographic Data for Modelling Road Safety Performance in Urban Areaof the OLS model and is helpful for policy-making at a local scale. A number of interesting correlations have been found, between accidents and a variety of statistically significant factors, such as the number of leisure establishments, pedestrian volume and length of particular types of roads. The

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Assessing the Impact of Changes in Mobility Behaviour to Evaluate Sustainable Transport Policies: Cas from mobility activities to access Politecnico campuses. In order to estimate CO. emissions of every trip, we utilize local emission factors for each transport mode. Previous studies evidenced how this component accounts for more than 40% of the total emissions of Politecnico di Milano..Lastly, in

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