Experimental Evaluation of Floating Car Data Collection Protocols in Vehicular Networks

Turcanu, Ion; Adamsky, Florian; Engel, Thomas

doi:10.1109/VTCFall.2019.8891115

Reference : Experimental Evaluation of Floating Car Data Collection Protocols in Vehicular Networks


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/40056

Title :	Experimental Evaluation of Floating Car Data Collection Protocols in Vehicular Networks
Language :	English
Author, co-author :	Turcanu, Ion [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Adamsky, Florian [Hof University of Applied Sciences]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2019
Main document title :	IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
Peer reviewed :	Yes
Audience :	International
Event name :	IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
Event date :	from 22-09-2019 to 25-09-2019
Keywords :	[en] DSRC ; Experimentation ; FCD Collection ; Prototype ; V2X ; VANET
Abstract :	[en] The main objectives of the Intelligent Transportation Systems (ITS) vision is to improve road safety, traffic management, and mobility by enabling cooperative communication among participants. This vision requires the knowledge of the current state of the road traffic, which can be obtained by collecting Floating Car Data (FCD) information using Dedicated Short-Range Communication (DSRC) based on the IEEE 802.11p standard. Most of the existing FCD collection protocols have been evaluated via simulations and mathematical models, while the real-world implications have not been thoroughly investigated. This paper presents an open-source implementation of two state-of-the-art FCD collection algorithms, namely BASELINE and DISCOVER. These algorithms are implemented in an open-source vehicular prototyping platform and validated in a real-world experimental setup.
Permalink :	http://hdl.handle.net/10993/40056
DOI :	10.1109/VTCFall.2019.8891115

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