Contributo in atti di convegno, 2009, ENG, 10.1109/ITSC.2009.5309679
Pinelli F.; Hou A.; Calabrese F.; Nanni M.; Zagras C.; Ratti C.
CNR-ISTI, Pisa, Italy; Department of Computer Science and Mathematics, University of Perugia, Perugia, Italy; MIT Senseable City Lab; CNR-ISTI, Pisa, Italy; MIT Senseable City Lab; MIT Senseable City Lab
The study of the accessibility in the city has always been appealing for urban planners and public trasportation companies. Nowadays, thanks to the availability of tracking devices on public transportation devices, it is possible to evaluate such accessibility very accurately, and derive useful performance measures. In this paper, we propose a complete methodological process to analysize and measure the accessibility of a city using bus GPS traces. Firstly, the process involves the application of recent results in spatio-temporal data mining in order to detect bus lines and bus stops from the traces dataset. Then an agent-based algorithm is used to simulate human mobility in the network, in order to study how the accessibility of the city changes over time, and starting from different locations in the city. Finally, the methodology is applied to bus traces collected for the city of Rome and both the detection process and the accessibility study are deeply investigate.
12th International IEEE Conference on Intelligent Transportation Systems, pp. 346–351, St. Louis - Missouri, USA, 3 -7 Ottobre 2009
Urban Traffic, Public transportation system, Clustering, Spatio-temporal data mining
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1109/ITSC.2009.5309679
URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5309513&isYear=2009
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:92016
DOI: 10.1109/ITSC.2009.5309679