Titlebook: Smart Cities, Green Technologies, and Intelligent Transport Systems; 10th International C Cornel Klein,Matthias Jarke,Oleg Gusikhin Confere

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Urs Baumgart,Michael Burgerrrel. If the converse is also true, then the lcs under consideration is said to be barrelled. This is the case e.g. for Fréchet spaces and many other important lcs. Among the most important results on barrelled lcs to be proved in 11.1 we mention the Banach-Steinhaus theorem and Pták’s extension of

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Ingo Thomsen,Sven Tomforderrel. If the converse is also true, then the lcs under consideration is said to be barrelled. This is the case e.g. for Fréchet spaces and many other important lcs. Among the most important results on barrelled lcs to be proved in 11.1 we mention the Banach-Steinhaus theorem and Pták’s extension of

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Conference proceedings 20221, and 7th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2021, held as virtual event, in April 28–30, 2021. The conference was held virtually due to the COVID-19 crisis..The 22 full papers included in this book were carefully reviewed and selected from 140

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A Decision Support System Based on Rainfall Nowcasting and Artificial Neural Networks to Mitigate Waort System was developed and tested on a real setting, specifically a wastewater treatment plant collecting the sewage from the city of Brescia, Italy. The quickness of the computation is compliant with the real-time needs and makes the developed platform an efficient tool to be used in a Smart City.

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Interaction-Aware Motion Prediction at Highways: A Comparison of Three Lane Changing Modelsk is evaluated in two scenarios: a two-lane highway and a three-lane merging highway. Finally, the influence of a set of lane-changing methods is evaluated on the predictions of the vehicles present on the scene.

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Optimal Control of Traffic Flow Based on Reinforcement Learning algorithmic optimization. For the RL approach, we consider different control policies including widely used neural nets but also Linear Models and Radial Basis Function Networks. Finally, we compare our RL controller with other control approaches and analyse the robustness of the RL traffic light controller, especially under extreme scenarios.

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