Full Informed Road Networks Evaluation: Simpler, Maybe Better
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/26341 |
Resumo: | The aim of this work is to categorize the current state of a road network, to determine quality of service and to assess the need to establish a program for maintenance or investment with respect to an evaluation of the user’s network satisfaction. It was designed to obtain information on the level of service provided and road network conditions, using a series of hypothetical questions. The instruments (logical functions or predicates) used considered only two or three attributes, so that respondents are able to easily comprehend and evaluate the scenarios presented to them. On the other hand, the hypothetical scenarios within each instrument were generated by varying the levels of the attributes entropy in a way that is specific to each of them, i.e., this study investigates the measurement of road network structure according to this assumption. Existing measures of heterogeneity, connectivity, accessibility, and interconnectivity are reviewed and supplemental measures are proposed, including measures of entropy, connection patterns, and continuity. |
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Full Informed Road Networks Evaluation: Simpler, Maybe BetterRoad NetworksEntropyLogic ProgrammingKnowledge Representation and ReasoningArtificial Neural NetworksThe aim of this work is to categorize the current state of a road network, to determine quality of service and to assess the need to establish a program for maintenance or investment with respect to an evaluation of the user’s network satisfaction. It was designed to obtain information on the level of service provided and road network conditions, using a series of hypothetical questions. The instruments (logical functions or predicates) used considered only two or three attributes, so that respondents are able to easily comprehend and evaluate the scenarios presented to them. On the other hand, the hypothetical scenarios within each instrument were generated by varying the levels of the attributes entropy in a way that is specific to each of them, i.e., this study investigates the measurement of road network structure according to this assumption. Existing measures of heterogeneity, connectivity, accessibility, and interconnectivity are reviewed and supplemental measures are proposed, including measures of entropy, connection patterns, and continuity.World Research Library2020-01-09T11:58:15Z2020-01-092019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/26341http://hdl.handle.net/10174/26341engRibeiro, J., Fernandes, B., Analide, C., Vicente, H. & Neves, J., Full Informed Road Networks Evaluation: Simpler, Maybe Better. In Proceedings of the 73rd Research World International Conference, pp. 46–52, World Research Library, 2019.http://www.worldresearchlibrary.org/up_proc/pdf/3178-157251759346-52.pdfCQEjribeiro@estg.ipvc.ptbruno.fmf.8@gmail.comanalide@di.uminho.pthvicente@uevora.ptjneves@di.uminho.ptRibeiro, JorgeFernandes, BrunoAnalide, CésarVicente, HenriqueNeves, Joséinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:20:07Zoai:dspace.uevora.pt:10174/26341Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:16:15.824931Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Full Informed Road Networks Evaluation: Simpler, Maybe Better |
title |
Full Informed Road Networks Evaluation: Simpler, Maybe Better |
spellingShingle |
Full Informed Road Networks Evaluation: Simpler, Maybe Better Ribeiro, Jorge Road Networks Entropy Logic Programming Knowledge Representation and Reasoning Artificial Neural Networks |
title_short |
Full Informed Road Networks Evaluation: Simpler, Maybe Better |
title_full |
Full Informed Road Networks Evaluation: Simpler, Maybe Better |
title_fullStr |
Full Informed Road Networks Evaluation: Simpler, Maybe Better |
title_full_unstemmed |
Full Informed Road Networks Evaluation: Simpler, Maybe Better |
title_sort |
Full Informed Road Networks Evaluation: Simpler, Maybe Better |
author |
Ribeiro, Jorge |
author_facet |
Ribeiro, Jorge Fernandes, Bruno Analide, César Vicente, Henrique Neves, José |
author_role |
author |
author2 |
Fernandes, Bruno Analide, César Vicente, Henrique Neves, José |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ribeiro, Jorge Fernandes, Bruno Analide, César Vicente, Henrique Neves, José |
dc.subject.por.fl_str_mv |
Road Networks Entropy Logic Programming Knowledge Representation and Reasoning Artificial Neural Networks |
topic |
Road Networks Entropy Logic Programming Knowledge Representation and Reasoning Artificial Neural Networks |
description |
The aim of this work is to categorize the current state of a road network, to determine quality of service and to assess the need to establish a program for maintenance or investment with respect to an evaluation of the user’s network satisfaction. It was designed to obtain information on the level of service provided and road network conditions, using a series of hypothetical questions. The instruments (logical functions or predicates) used considered only two or three attributes, so that respondents are able to easily comprehend and evaluate the scenarios presented to them. On the other hand, the hypothetical scenarios within each instrument were generated by varying the levels of the attributes entropy in a way that is specific to each of them, i.e., this study investigates the measurement of road network structure according to this assumption. Existing measures of heterogeneity, connectivity, accessibility, and interconnectivity are reviewed and supplemental measures are proposed, including measures of entropy, connection patterns, and continuity. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01T00:00:00Z 2020-01-09T11:58:15Z 2020-01-09 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/26341 http://hdl.handle.net/10174/26341 |
url |
http://hdl.handle.net/10174/26341 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ribeiro, J., Fernandes, B., Analide, C., Vicente, H. & Neves, J., Full Informed Road Networks Evaluation: Simpler, Maybe Better. In Proceedings of the 73rd Research World International Conference, pp. 46–52, World Research Library, 2019. http://www.worldresearchlibrary.org/up_proc/pdf/3178-157251759346-52.pdf CQE jribeiro@estg.ipvc.pt bruno.fmf.8@gmail.com analide@di.uminho.pt hvicente@uevora.pt jneves@di.uminho.pt |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
World Research Library |
publisher.none.fl_str_mv |
World Research Library |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1817551325092642816 |