2009
Conference article  Open Access

Space and time-dependant bus accessibility: a case study in Rome

Pinelli F., Hou A., Calabrese F., Nanni M., Zagras C., Ratti C.

Spatio-temporal data mining  Urban Traffic  Public transportation system  Clustering 

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.

Source: 12th International IEEE Conference on Intelligent Transportation Systems, pp. 346–351, St. Louis - Missouri, USA, 3 -7 Ottobre 2009


Metrics



Back to previous page
BibTeX entry
@inproceedings{oai:it.cnr:prodotti:92016,
	title = {Space and time-dependant bus accessibility: a case study in Rome},
	author = {Pinelli F. and Hou A. and Calabrese F. and Nanni M. and Zagras C. and Ratti C.},
	doi = {10.1109/itsc.2009.5309679},
	booktitle = {12th International IEEE Conference on Intelligent Transportation Systems, pp. 346–351, St. Louis - Missouri, USA, 3 -7 Ottobre 2009},
	year = {2009}
}