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المؤلفGhazzai, Hakim
المؤلفMenouar, Hamid
المؤلفKadri, Abdullah
تاريخ الإتاحة2024-10-23T05:10:37Z
تاريخ النشر2017
اسم المنشورIEEE Vehicular Technology Conference
المصدرScopus
الرقم المعياري الدولي للكتاب15502252
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/VTCSpring.2017.8108676
معرّف المصادر الموحدhttp://hdl.handle.net/10576/60447
الملخصUnmanned Aerial Vehicles (UAV) have attracted a lot of attention in a variety of fields especially in intelligent transportation systems (ITS). They constitute an innovative mean to support existing technologies to control road traffic and monitor incidents. Due to their energy-limited capacity, UAVs are employed for temporary missions and, during idle periods, they are placed in stations where they can replenish their batteries. In this paper, the problem of UAV docking station placement for ITS is investigated. This constitutes the first step in managing UAV- assisted ITS. The objective is to determine the best locations for a given number of docking stations that the operator aims to install in a large geographical area. Based on average road network statistics, two essential conditions are imposed in making the placement decision: i) the UAV has to reach the incident location in a reasonable time, ii) there is no risk of UAV's battery failure during the mission. Two algorithms, namely a penalized weighted k-means algorithm and the particle swarm optimization algorithm, are proposed. Results show that both algorithms achieve close coverage efficiency in spite of their different conceptual constructions.
راعي المشروعThis work was made possible by NPRP grant # 9-257-1-056 from the Qatar National Research Fund (A member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعDocking Station Placement
Intelligent Transportation Systems
K-Means Clustering
Swarm Intelligence
العنوانOn the Placement of UAV Docking Stations for Future Intelligent Transportation Systems
النوعConference
رقم المجلد2017-June
dc.accessType Full Text


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