@inbook{c68a64c0f6394b7da612daa75b582a29,
title = "Intelligently Reduce Transportation{\textquoteright}s Energy Consumption",
abstract = "Reducing vehicle energy demand has been the subject of academic research for several years. Distributing energy equally and efficiently among vehicle wheels addresses challenges that may have an impact on energy consumption. Therefore, this chapter aims to contribute through the proposal of a novel system by integrating smart panels. The effects of road{\textquoteright}s change of gradient and anomalies motivate us to work on more torque at the wheel joints that demand more energy procurement. Though the supply affects all the wheels equally, which interprets for the engine as more consumption. We approach the emerging issue by developing a V2SP (Vehicle to Smart-Panel) system in fluid dynamics. Based on fundamental mathematics equations of fluid flow from Navier–Stokes, we implement an algorithm that could run in real-time on the grid that will be integrated on panels and interact accordingly with a vehicle{\textquoteright}s operational system. The objective is the distribution of the appropriate energy among wheels based on their needs.",
keywords = "Energy consumption, Internet of things IoT, Internet of vehicles IoV, Smart-panels",
author = "Andreas Andreou and Mavromoustakis, {Constandinos X.} and George Mastorakis and Evangelos Pallis and Naercio Magaia and Markakis, {Evangelos K.}",
note = "Funding Information: This research work was funded by the Smart and Health Ageing through People Engaging in supporting Systems SHAPES project, which has received funding from the European Union?s Horizon 2020 research and innovation programme under grant agreement No 857159. Parts of this work were also supported by the Ambient Assisted Living (AAL) project vINCI: ?Clinically-validated INtegrated Support for Assistive Care and Lifestyle Improvement: The Human Link? funded by Cyprus Research and Innovation Foundation in Cyprus under the AAL framework with Grant Nr. vINCI /P2P/AAL/0217/0016. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.",
year = "2021",
doi = "10.1007/978-3-030-76493-7_9",
language = "English",
series = "Internet of Things",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "293--309",
booktitle = "Internet of Things",
address = "Germany",
}
