Mobile device sensing system for urban goods distribution logistics
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/1822/47908 |
Summary: | 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. |
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Mobile device sensing system for urban goods distribution logisticsMobile phone sensingUrban logisticsGoods distributionGeographic information systemMobile applicationMobile device sensingEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyThis 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/publishedVersionIEEEUniversidade do MinhoFerreira, João C.Martins, Ana LúciaMonteiro, Vítor Duarte FernandesAfonso, João L.Afonso, José A.20172017-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/47908eng978-1-5090-5847-110.1109/SOLI.2017.8120992info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:27:48Zoai:repositorium.sdum.uminho.pt:1822/47908Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:48:52.397937Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Mobile device sensing system for urban goods distribution logistics |
title |
Mobile device sensing system for urban goods distribution logistics |
spellingShingle |
Mobile device sensing system for urban goods distribution logistics Ferreira, João C. Mobile phone sensing Urban logistics Goods distribution Geographic information system Mobile application Mobile device sensing Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
title_short |
Mobile device sensing system for urban goods distribution logistics |
title_full |
Mobile device sensing system for urban goods distribution logistics |
title_fullStr |
Mobile device sensing system for urban goods distribution logistics |
title_full_unstemmed |
Mobile device sensing system for urban goods distribution logistics |
title_sort |
Mobile device sensing system for urban goods distribution logistics |
author |
Ferreira, João C. |
author_facet |
Ferreira, João C. Martins, Ana Lúcia Monteiro, Vítor Duarte Fernandes Afonso, João L. Afonso, José A. |
author_role |
author |
author2 |
Martins, Ana Lúcia Monteiro, Vítor Duarte Fernandes Afonso, João L. Afonso, José A. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Ferreira, João C. Martins, Ana Lúcia Monteiro, Vítor Duarte Fernandes Afonso, João L. Afonso, José A. |
dc.subject.por.fl_str_mv |
Mobile phone sensing Urban logistics Goods distribution Geographic information system Mobile application Mobile device sensing Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
topic |
Mobile phone sensing Urban logistics Goods distribution Geographic information system Mobile application Mobile device sensing Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
description |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/47908 |
url |
http://hdl.handle.net/1822/47908 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-1-5090-5847-1 10.1109/SOLI.2017.8120992 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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