Reference : High-Precision Design of Pedestrian Mobility for Smart City Simulators

	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/10993/34432

Title :	High-Precision Design of Pedestrian Mobility for Smart City Simulators
Language :	English
Author, co-author :	Vitello, Piergiorgio [Politecnico di Torino > Dip. di Elettronica e Telecomunicazioni]
	Capponi, Andrea [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	Fiandrino, Claudio [IMDEA Networks Institute]
	Giaccone, Paolo [Politecnico di Torino > Dip. di Elettronica e Telecomunicazioni]
	Kliazovich, Dzmitry [ExaMotive]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	May-2018
Main document title :	IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 2018
Peer reviewed :	Yes
Audience :	International
Event name :	IEEE International Conference on Communications (ICC)
Event date :	May 2018
Event place (city) :	Kansas City
Event country :	Missouri, USA
Keywords :	[en] Mobile Crowdsensing ; Smart Cities ; Pedestrian Mobility
Abstract :	[en] The unprecedented growth of the population living in urban environments calls for a rational and sustainable urban development. Smart cities can fill this gap by providing the citizens with high-quality services through efficient use of Information and Communication Technology (ICT). To this end, active citizen participation with mobile crowdsensing (MCS) techniques is a becoming common practice. As MCS systems require wide participation, the development of large scale real testbeds is often not feasible and simulations are the only alternative solution. Modeling the urban environment with high precision is a key ingredient to obtain effective results. However, currently existing tools like OpenStreetMap (OSM) fail to provide sufficient levels of details. In this paper, we apply a procedure to augment the precision (AOP) of the graph describing the street network provided by OSM. Additionally, we compare different mobility models that are synthetic and based on a realistic dataset originated from a well known MCS data collection campaign (ParticipAct). For the dataset, we propose two arrival models that determine the users’ arrivals and match the experimental contact distribution. Finally, we assess the scalability of AOP for different cities, verify popular metrics for human mobility and the precision of different arrival models.
Permalink :	http://hdl.handle.net/10993/34432

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