Publicação
A Road Condition Service Based on a Collaborative Mobile Sensing Approach
| Resumo: | Road pavement conditions influence the daily lives of both drivers and passengers. Anomalies in road pavement can cause discomfort, increase stress, cause mechanical failures in vehicles and compromise safety of road users. Detecting and surveying road condition/anomalies requires expensive and specially designed equipment and vehicles, that cost considerable amounts of money, and require specialized workers to operate them. As an alternative, an emergent sensing paradigm is being discussed as a promising mechanism for collecting large-scale real-world data. In this paper we describe our experience on the design, implementation and deployment of a cloud based road anomaly information management service, that combines Collaborative Mobile Sensing and data-mining approaches, to provide a practical solution for detecting, identifying and managing road anomaly information. Additionally, we identify technical challenges and propose guidelines that may help to improve this type of services and applications. |
|---|---|
| Autores principais: | Soares, João |
| Outros Autores: | Silva, Nuno Alberto Ribeiro; Shah, Vaibhav; Rodrigues, Helena |
| Assunto: | Collaborative mobile sensing Data-mining Road anomaly detection Road condition monitoring Road condition service Road condition service architecture Engenharia e Tecnologia::Engenharia Civil |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867439663772336128 |
|---|---|
| author | Soares, João |
| author2 | Silva, Nuno Alberto Ribeiro Shah, Vaibhav Rodrigues, Helena |
| author2_role | author author author |
| author_facet | Soares, João Silva, Nuno Alberto Ribeiro Shah, Vaibhav Rodrigues, Helena |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Soares, João\"},{\"Person.name\":\"Silva, Nuno Alberto Ribeiro\"},{\"Person.name\":\"Shah, Vaibhav\"},{\"Person.name\":\"Rodrigues, Helena\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Soares, João Silva, Nuno Alberto Ribeiro Shah, Vaibhav Rodrigues, Helena |
| datacite.date.Accepted.fl_str_mv | 2018-10-02T00:00:00Z |
| datacite.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Collaborative mobile sensing Data-mining Road anomaly detection Road condition monitoring Road condition service Road condition service architecture Engenharia e Tecnologia::Engenharia Civil |
| datacite.titles.title.fl_str_mv | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Soares, João Silva, Nuno Alberto Ribeiro Shah, Vaibhav Rodrigues, Helena |
| dc.date.Accepted.fl_str_mv | 2018-10-02T00:00:00Z |
| dc.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/60387 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers Inc. |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Collaborative mobile sensing Data-mining Road anomaly detection Road condition monitoring Road condition service Road condition service architecture Engenharia e Tecnologia::Engenharia Civil |
| dc.title.fl_str_mv | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | Road pavement conditions influence the daily lives of both drivers and passengers. Anomalies in road pavement can cause discomfort, increase stress, cause mechanical failures in vehicles and compromise safety of road users. Detecting and surveying road condition/anomalies requires expensive and specially designed equipment and vehicles, that cost considerable amounts of money, and require specialized workers to operate them. As an alternative, an emergent sensing paradigm is being discussed as a promising mechanism for collecting large-scale real-world data. In this paper we describe our experience on the design, implementation and deployment of a cloud based road anomaly information management service, that combines Collaborative Mobile Sensing and data-mining approaches, to provide a practical solution for detecting, identifying and managing road anomaly information. Additionally, we identify technical challenges and propose guidelines that may help to improve this type of services and applications. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/48a3072a-f44b-4766-9b0f-7364d165fb07/download |
| id | rum_c2a5c34857de3c19c224b1dbbe252ab1 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/60387 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/60387 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Soares, João Silva, Nuno Alberto Ribeiro Shah, Vaibhav Rodrigues, Helena |
| publishDate | 2018 |
| publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers Inc. |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engInstitute of Electrical and Electronics Engineers Inc.porRoad pavement conditions influence the daily lives of both drivers and passengers. Anomalies in road pavement can cause discomfort, increase stress, cause mechanical failures in vehicles and compromise safety of road users. Detecting and surveying road condition/anomalies requires expensive and specially designed equipment and vehicles, that cost considerable amounts of money, and require specialized workers to operate them. As an alternative, an emergent sensing paradigm is being discussed as a promising mechanism for collecting large-scale real-world data. In this paper we describe our experience on the design, implementation and deployment of a cloud based road anomaly information management service, that combines Collaborative Mobile Sensing and data-mining approaches, to provide a practical solution for detecting, identifying and managing road anomaly information. Additionally, we identify technical challenges and propose guidelines that may help to improve this type of services and applications.application/pdfporA Road Condition Service Based on a Collaborative Mobile Sensing ApproachSoares, JoãoSilva, Nuno Alberto RibeiroShah, VaibhavRodrigues, HelenaHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONSoares, J., Silva, N., Shah, V., & Rodrigues, H. (2018). A Road Condition Service based on a collaborative mobile sensing approach. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 639-644). IEEE.ISBNIsPartOf978-1-5386-3228-4ISSNIsPartOf2474-2503DOIIsPartOf10.1109/PERCOMW.2018.8480346EISBNIsPartOf978-1-5386-3227-72018-10-022019-05-24T09:44:35Z10000-01-01T00:00:00Z2018-10-02T00:00:00ZHandlehttps://hdl.handle.net/1822/60387http://purl.org/coar/access_right/c_16ecrestricted accessCollaborative mobile sensingData-miningRoad anomaly detectionRoad condition monitoringRoad condition serviceRoad condition service architecturehttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Engenharia e Tecnologia::Engenharia Civil419987 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://repositorium.uminho.pt/bitstreams/48a3072a-f44b-4766-9b0f-7364d165fb07/download |
| spellingShingle | A Road Condition Service Based on a Collaborative Mobile Sensing Approach Soares, João Collaborative mobile sensing Data-mining Road anomaly detection Road condition monitoring Road condition service Road condition service architecture Engenharia e Tecnologia::Engenharia Civil |
| status | SINGLETON |
| subject.fl_str_mv | Collaborative mobile sensing Data-mining Road anomaly detection Road condition monitoring Road condition service Road condition service architecture |
| subject.other.fl_str_mv | Engenharia e Tecnologia::Engenharia Civil |
| title | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| title_full | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| title_fullStr | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| title_full_unstemmed | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| title_short | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| title_sort | A Road Condition Service Based on a Collaborative Mobile Sensing Approach |
| topic | Collaborative mobile sensing Data-mining Road anomaly detection Road condition monitoring Road condition service Road condition service architecture Engenharia e Tecnologia::Engenharia Civil |
| topic_facet | Collaborative mobile sensing Data-mining Road anomaly detection Road condition monitoring Road condition service Road condition service architecture Engenharia e Tecnologia::Engenharia Civil |
| url | https://hdl.handle.net/1822/60387 |
| visible | 1 |