Nearly all the members of adult population in majordeveloped countries transport a GSM/UMTS mobile terminalwhich, besides its communication purpose, can be seen as amobility sensor, i.e. an electronic individual tag. The temporaland spatial movements of these mobile tags being recorded allowstheir flows to be analyzed without placing costly ad hoc sensorsand represents a great potential for road traffic analysis, forecasting, real time monitoring and, ultimately, for the analysis and thedetection of events and processes besides the traffic domain aswell. In this paper a model which integrates mobility constraintswith cellular networks data flow is proposed in order to inferthe flow of users in the underlying mobility infrastructure. Anadaptive flow estimation technique is used to refine the flowanalysis when the complexity of the mobility network increases.The inference process uses anonymized temporal series of cellhandovers which meet privacy and scalability requirements.The integrated model has been successfully experimented in thedomain of car accident detection.
Cellular Flow in mobility Network
MILANI, Alfredo;
2009-01-01
Abstract
Nearly all the members of adult population in majordeveloped countries transport a GSM/UMTS mobile terminalwhich, besides its communication purpose, can be seen as amobility sensor, i.e. an electronic individual tag. The temporaland spatial movements of these mobile tags being recorded allowstheir flows to be analyzed without placing costly ad hoc sensorsand represents a great potential for road traffic analysis, forecasting, real time monitoring and, ultimately, for the analysis and thedetection of events and processes besides the traffic domain aswell. In this paper a model which integrates mobility constraintswith cellular networks data flow is proposed in order to inferthe flow of users in the underlying mobility infrastructure. Anadaptive flow estimation technique is used to refine the flowanalysis when the complexity of the mobility network increases.The inference process uses anonymized temporal series of cellhandovers which meet privacy and scalability requirements.The integrated model has been successfully experimented in thedomain of car accident detection.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
