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Title: | Enabling Drones Collaboration in ITS Applications Using a BDI Architecture Based on a 5-Dimensional Social Model | Authors: | GHARRAD, Hana Jabeur, Nafaa YASAR, Ansar AL ABRI, Khalid EL HANSALI, Youssef KOCHAN, Bruno |
Advisors: | Yasar, Ansar | Corporate Authors: | Nafaa Jabeur Ansar Ul-Haque Yasar Khalid Ali Sulaiyam Al Abri Youssef El-Hansali Bruno Kochan |
Issue Date: | 2020 | Publisher: | Springer | Source: | Proceedings of the Future Technologies Conference (FTC) 2020, Springer, p. 48 -63 | Series/Report: | Advances in Intelligent Systems and Computing | Series/Report no.: | 1288 | Abstract: | Thanks to their capabilities to track objects and events of interest as well as their capabilities to provide unique real-time views of road sections, drones are being increasingly used in Intelligent Transportation System (ITS) applications. To deal with the highly complex ITS tasks, several approaches are allowing these drones to collaborate and ultimately achieve goals beyond their individual capabilities. Moreover, recent approaches are highlighting the need to empower drones with intelligence and autonomy, particularly to enable them react more efficiently to changes in the commonly open and highly dynamic ITS environments. Intelligence and autonomy will also enable drones optimize the use of their limited onboard resources. Within this perspective, we are proposing in this paper an intelligent drone collaboration approach using the Multi-Agent System paradigm. Based on a new generic Belief-Intension-Desire (BDI) architecture, our approach implements a five-dimension social model that mimics humans' reasoning and interactions. In contrast with the existing approaches, our solution enables drones to switch between selfish and collaborative behaviors. To demonstrate some benefits of our BDI architecture, we run simulations of two types of collaboration approaches; namely Collaboration based on Centralized Planning and Collaboration based on Participatory Planning. Our simulations are run to manage road traffic in the advent of an emergency situation like the COVID-19 pandemic. | Keywords: | Intelligent Transportation Systems;Drone collaboration;Belief- Desire-Intension;Multi-Agent Systems;Social model | Document URI: | http://hdl.handle.net/1942/33033 | Link to publication/dataset: | http://link-springer-com-443.webvpn.fjmu.edu.cn/chapter/10.1007%2F978-3-030-63128-4_5 | ISBN: | 978-3-030-63128-4 | DOI: | 10.1007/978-3-030-63128-4_5 | Rights: | Springer Nature Switzerland AG 2021, corrected publication 2021. This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2022 |
Appears in Collections: | Research publications |
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