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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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楼主: 鸟场
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Neural Network-Based Road Accident Forecasting in Transportation and Public Managementccording to the literature. The optimal prediction model was tested in the study area and the results have shown a very good prediction accuracy. The road accident predictions will help public management to adopt the appropriate transportation management strategies.
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https://doi.org/10.1007/978-3-319-55708-3ng the general population, university students form a specific group of people which is characterized by increased mobility rates. In the framework of this paper, the results from a survey concerning the trip generation rates of the students of the Aristotle University of Thessaloniki (AUTh), Greece
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Serena Signorelli,Silvia Biffignandil pedestrianization of the coastal avenue, which was implemented a few years later. However, the constant increase of the city tourism over the last years, has generated new conditions in the area, imposing an “update” of the proposals made in the context of the 2009 study. In fact, the area is char
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Classification, Automation, and New Mediar as single target speed or as complex speed-distance relation) in order to fulfill a given objective. Common objectives include the minimization of fuel usage, emissions and/or delay. The literature provides a wide selection of GLOSA-algorithms addressing different aspects of a real world applicati
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A Self-Organizing Map for Dissimilarity Datalanning and policy processes in the near future. Within the development of the project “TRACE – Walking and cycling tracking services”, parallel to different apps and initiatives that promote behaviour change, a new tool was developed in order to improve planning and decision-making processes: TAToo
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