Mining travel patterns from mobile ticket applications

2014

Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 Customers’ travel patterns are highly interesting for transportation companies due tothe insight it gives over the use for their services. Logs of the customers’ location datais an important source for such companies. However, such data is not collected and isprivately owned by the individual customers. To find the customers’ travel patterns,their location data requires to match a coded map of transportation network.This paper introduces a novel solution that automatically collects location and timedata from the customers without the need for the customers to actively submit thedata. This paper presen…