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Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome

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Calabrese, Francesco, Colonna, Massimo, Lovisolo, Piero, Parata, Dario, Ratti, Carlo·2011·IEEE Transactions on Intelligent Transportation Systems

Abstract

This paper describes a new real-time urban monitoring system. The system uses the Localizing and Handling Network Event Systems (LocHNESs) platform developed by Telecom Italia for the real-time evaluation of urban dynamics based on the anonymous monitoring of mobile cellular networks. In addition, data are supplemented based on the instantaneous positioning of buses and taxis to provide information about urban mobility in real time, ranging from traffic conditions to the movements of pedestrians throughout the city. This system was exhibited at the Tenth International Architecture Exhibition of the Venice Biennale. It marks the unprecedented monitoring of a large urban area, which covered most of the city of Rome, in real time using a variety of sensing systems and will hopefully open the way to a new paradigm of understanding and optimizing urban dynamics.

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Metadata

Authors
Calabrese, F., Colonna, M., Lovisolo, P., Parata, D., & Ratti, C.
Venue
IEEE Transactions on Intelligent Transportation Systems
Published
2011-03
Volume
12
Issue
1
Pages
141-151
ISSN
  • 1524-9050 (ISSN-L)
  • 1558-0016
OpenAlex
W2100378013
Cited by
623
References
0
FWCI
68.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome. https://app.cochat.ai/papers/10.1109/tits.2010.2074196
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Calabrese, F., Colonna, M., Lovisolo, P., Parata, D., & Ratti, C. (2011). Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2010.2074196

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.