@conference {sturari2016integrated,
	title = {An integrated mobility system using real-time data for traffic simulation},
	booktitle = {Mechatronic and Embedded Systems and Applications (MESA), 2016 12th IEEE/ASME International Conference on},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Mirco Sturari and Ludovico Catani and Adriano Mancini and Emanuele Frontoni}
}
@conference {Catani2011889,
	title = {Efficient traffic simulation using busses as active sensor network},
	booktitle = {Proceedings of the ASME Design Engineering Technical Conference},
	volume = {3},
	number = {PARTS A AND B},
	year = {2011},
	note = {cited By 4},
	pages = {889-894},
	abstract = {In this paper we present a traffic simulation system using traffic data gathered from readings by GPS devices installed on board of busses, i.e., busses running on the road are used as a mobile sensor network. Traffic data are inferred from the comparison of data about normal speed and current speed in a certain position. The simulation system was developed to invent mechanisms that use such information for traffic optimization. In particular, simulations allow to manage traffic lights in real time and to control the traffic system in order to give priority to public transportation systems. {\textcopyright} 2011 by ASME.},
	doi = {10.1115/DETC2011-49013},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84863576021\&partnerID=40\&md5=b5122447bb6ce4e611ea9e196886e59e},
	author = {Ludovico Catani and Emanuele Frontoni and Primo Zingaretti and Di Pasquale, G.}
}
@conference {Catani2010319,
	title = {A framework based on vision sensors for the automatic management of exchange parking areas},
	booktitle = {Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010},
	year = {2010},
	note = {cited By 3},
	pages = {319-324},
	abstract = {This paper proposes a framework for the automatic management of exchange parking areas, usually located in the periphery of large cities. These parks are used for medium/long period stops of private or public vehicles and the subsequent sorting of passengers to public transportation networks. The objective of this paper is to analyze and stress the potential of a framework that exploits only vision sensors, which are very versatile and minimally invasive. Using a visual sensor network and the proposed tracking approach we are able to know and track the position of every bus in the exchange station and to send data to the planning station, which allocates slots for other busses and manages public information. Preliminary results are promising and show the feasibility of the proposed method, so that future research work is directed towards a distributed implementation of the framework with stand-alone and embedded devices under the control of a supervisor. {\textcopyright} 2010 IEEE.},
	doi = {10.1109/MESA.2010.5552047},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77957341506\&partnerID=40\&md5=accfd4f3b19a01e8662f81ce6185545b},
	author = {Ludovico Catani and Emanuele Frontoni and Primo Zingaretti}
}
