Titlebook: Intelligent Transport Systems; 6th EAI Internationa Ana Lucia Martins,Joao C. Ferreira,Ulpan Tokkozhin Conference proceedings 2023 ICST Ins

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Train Rides Through Europe – Which Changes Do the Passengers Need?trans-European routes. This paper summarizes findings from a focus-group study which was conducted to explore problems and requirements of European train travelling. During the focus group discussion, five participants aged 24–61?years were asked about their experiences with European train travel an

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Adaptive Dimming of?Highway Lights Using Recurrent Neural Networksf dimmable light-emitting diode lights on the open road section of highways appears to be a promising solution, due to the reduced energy consumption (compared to high pressure sodium lamps) and the ability to adjust their brightness at various levels, based on the road’s traffic load. However, sett

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Bus Journey Time Prediction: A Comparison of?Whole Route and?Segment Journey Time Predictions Using edicting bus journey times with machine learning (ML) is to predict journey times for each stop pair segment. Segment data can be very noisy, leading to inaccuracies. To investigate this, this paper compares the classic stop pair segment approach to three other methods. Firstly, a naive method of ca

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Predictive Energy Management for Battery Electric Vehicles with Hybrid Models.g., weather) are shown to have huge impacts on the energy consumption of a vehicle besides the vehicle or powertrain dynamics. Thus, it is challenging to take all of those influencing variables into consideration. The proposed approach is based on a hybrid model which improves the prediction accura

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Vehicle Routing Problem for?an?Integrated Electric Vehicles and?Drones SystemVRPD). The primary objective of E-VRPD is to find an optimal vehicle tour to minimize the total completion time to deliver parcels to a set of customer nodes using a set of EVs, each equipped with a single drone. Due to the importance of such problems and the lack of existing techniques, in this wor

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