2014
Conference article  Restricted

Big data analytics for smart mobility: a case study

Trasarti R., Furletti B., Gabrielli L., Nanni M., Pedreschi D.

GPS  Call Data Records  Data Mining  H.2.8 Database Application 

This paper presents a real case study were several mobility data sources are collected in a urban context, integrated and analyzed in order to answer a set of key questions about mobility. The study of the human mobility is a very sensitive topic for both public transport (PT) companies and local administrations. This work is a contribution in the understanding of some aspects of the mobility in Cosenza, a town in the South of Italy, and the realization of corresponding services in order to aswer to the following questions identi- fied in collaboration with the PT experts. Question 1: How is PT able to substitute private mobility? The objective is to compare public and private mobility to verify the capability of PT to satisfy the user mobility needs. Question 2: How di!erent zones of the city are reachable using PT? This question focuses on understanding how much di!erent zones of the city are served by PT considering di!erent times of the day. Question 3: Are there usual time deviations between real travel times and o"cial time tables? We want to verify if usual time deviations between real travel times and o"cial time tables exist highlighting chronic delays in the service. Question 4: Can we spot visitors and commuters by their behavior? We aim at identifying important categories of people estimating their segmentation in order to evaluate the corresponding demand of services.

Source: MUD 2014 - EDBT/ICDT 2014 Joint Conference, pp. 363–364, Athens, Greece, 3 March 2014



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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:310576,
	title = {Big data analytics for smart mobility: a case study},
	author = {Trasarti R. and Furletti B. and Gabrielli L. and Nanni M. and Pedreschi D.},
	booktitle = {MUD 2014 - EDBT/ICDT 2014 Joint Conference, pp. 363–364, Athens, Greece, 3 March 2014},
	year = {2014}
}
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