'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
This paper presents a low cost mobile application
(app) integrated on an Internet of Things (IoT) ecosystem, which
uses varied sensor information collected by mobile devices to
track and assist on the logistics of urban goods distribution
processes. The proposed approach is leveraged by the trend of
decreasing costs for mobile data communication in urban
environments. Taking into account basic sensor data available in
mobile devices (e.g., GPS, accelerometer and magnetometer), it is
possible to track the users’ movements and adopted routes,
identify transit times and driving styles, identify the quality of
roads, and track the process of loading/unloading of urban goods.
This data can also be analyzed through a data mining process to
identify patterns, present driving advice and perform a resource
optimization process.This work has been supported by COMPETE: POCI-01-0145-
FEDER-007043 and FCT – Fundação para a Ciência e
Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio