Titlebook: Intelligent Transport Systems, From Research and Development to the Market Uptake; 4th EAI Internationa Ana Lúcia Martins,Jo?o C. Ferreira,

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Dependable and Efficient Cloud-Based Safety-Critical Applications by Example of Automated Valet Parkal applications this means that it is not sufficient to ensure dependability in a single embedded system, but it is necessary to cover the complete service chain including all involved embedded systems as well as involved services running in the edge or the cloud. However, for the development of suc

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Adopting Blockchain in Supply Chain – An Approach for a Pilotd safety of products are becoming key factors for customers’ trust, so traceability solutions are arising. One of the most up-and-coming disruptive technologies today is a Blockchain (BC). The aim of this article is to provide tentative framework of how to assess the level of success of BC technolog

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An Integrated Lateral and Longitudinal Look Ahead Controller for Cooperative Vehicular Platooningsafety and societal benefits. Relying on V2V communications to control such cooperative and automated actions brings several advantages. In this work, we present a Look Ahead PID controller for CoVP that solely relies upon V2V communications, together with a method to reduce the disturbance propagat

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Impact of Charging Infrastructure Surroundings on Temporal Characteristics of Electric Vehicle Charge. By using the variable selection ability of the Lasso method, combined with the bootstrap driven post-selection inference, we evaluate measures quantifying the potential impacts of charging infrastructure surroundings. We derive the description of the surroundings of the charging infrastructure fr

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Performance Evaluation of Object Detection Algorithms Under Adverse Weather Conditionse prone to errors, often caused by adverse weather conditions such as fog. It is well known that fog has a negative effect on the camera’s view and thus degrades sensor performance. This is caused by microscopic water droplets in the air, that scatter light, reduce contrast and blur the image. Objec

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EMD-SVR: A Hybrid Machine Learning Method to Improve the Forecasting Accuracy of Highway Tollgates Tsequences such as higher carbon emission and road safety issues. To avoid this scenario, traffic control authorities need accurate travel time forecasts at tollgates to take effective action to monitor potential traffic load and improve traffic safety. Accurate forecasting of the traffic travel time