Research Article
City Mobility and Night Life Monitor
@INPROCEEDINGS{10.1007/978-3-031-49379-9_7, author={Lu\^{\i}s B. Elvas and Miguel Nunes and Bruno Francisco and Nuno Domingues}, title={City Mobility and Night Life Monitor}, proceedings={Intelligent Transport Systems. 7th EAI International Conference, INTSYS 2023, Molde, Norway, September 6-7, 2023, Proceedings}, proceedings_a={INTSYS}, year={2023}, month={12}, keywords={machine learning big data mobility patterns IoT smart cities}, doi={10.1007/978-3-031-49379-9_7} }- Luís B. Elvas
Miguel Nunes
Bruno Francisco
Nuno Domingues
Year: 2023
City Mobility and Night Life Monitor
INTSYS
Springer
DOI: 10.1007/978-3-031-49379-9_7
Abstract
This paper presents an Internet of Things (IoT) system designed to collect and analyse information regarding the travel patterns and movements of individuals in densely populated locations, in the context of smart cities. People’s movements are retrieved from coarse-grained aggregated cellular network data without collecting sensitive information from mobile devices and users. These data were provided by a Portuguese cellular operator to the Lisbon City Council to characterize people movements in the city. In this sense, the mobile phones act as useful sensor devices for collecting rich spatiotemporal information about human movement patterns. The purpose of this research work is to create a machine learning-based data-driven approach that is able to receive anonymised data from telecommunication operators to provide a big picture about citizen mobility in the city and to identify patterns based on the collected data, in order to provide relevant information for city planning and events coordination. Some of the main applications of the proposed system are the coordination of big events and the management and control of commuting traffic.
