Spatio-temporal modeling of traffic risk mapping on urban road networks
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/95145 |
Resumo: | Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Spatio-temporal modeling of traffic risk mapping on urban road networksNetwork triangulationSpatio-temporal modelingTraffic risk mappingDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesOver the past few years, traffic collisions have been one of the serious issues all over the world. Global status report on road safety, reveals an increasing number of fatalities due to traffic accidents, especially on urban roads. The present research work is conducted on five years of accident data in an urban environment to explore and analyze spatial and temporal variation in the incidence of road traffic accidents and casualties. The current study proposes a spatio-temporal model that can make predictions regarding the number of road casualties likely on any given road segments and can generate a risk map of the entire road network. Bayesian methodology using Integrated Nested Laplace Approximation (INLA) with Stochastic Partial Differential Equations (SPDE) has been applied in the modeling process. The novelty of the proposed model is to introduce "SPDE network triangulation" precisely on linear networks to estimate the spatial autocorrelation of discrete events. The result risk maps can provide geospatial baseline to identify safe routes between source and destination points. The maps can also have implications for accident prevention and multi-disciplinary road safety measures through an enhanced understanding of the accident patterns and factors. Reproducibility self-assessment : 3, 1, 1, 3, 2 (input data, preprocessing, methods, computational environment, results).Juan Verdoy, PabloMateu Mahiques, JorgeCosta, Ana Cristina Marinho daRUNChaudhuri, Somnath2020-03-27T13:51:01Z2020-03-052020-03-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/95145TID:202465179enginfo: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:RCAAP2024-03-11T04:43:10Zoai:run.unl.pt:10362/95145Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:14.608201Repositório 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 |
Spatio-temporal modeling of traffic risk mapping on urban road networks |
title |
Spatio-temporal modeling of traffic risk mapping on urban road networks |
spellingShingle |
Spatio-temporal modeling of traffic risk mapping on urban road networks Chaudhuri, Somnath Network triangulation Spatio-temporal modeling Traffic risk mapping |
title_short |
Spatio-temporal modeling of traffic risk mapping on urban road networks |
title_full |
Spatio-temporal modeling of traffic risk mapping on urban road networks |
title_fullStr |
Spatio-temporal modeling of traffic risk mapping on urban road networks |
title_full_unstemmed |
Spatio-temporal modeling of traffic risk mapping on urban road networks |
title_sort |
Spatio-temporal modeling of traffic risk mapping on urban road networks |
author |
Chaudhuri, Somnath |
author_facet |
Chaudhuri, Somnath |
author_role |
author |
dc.contributor.none.fl_str_mv |
Juan Verdoy, Pablo Mateu Mahiques, Jorge Costa, Ana Cristina Marinho da RUN |
dc.contributor.author.fl_str_mv |
Chaudhuri, Somnath |
dc.subject.por.fl_str_mv |
Network triangulation Spatio-temporal modeling Traffic risk mapping |
topic |
Network triangulation Spatio-temporal modeling Traffic risk mapping |
description |
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-27T13:51:01Z 2020-03-05 2020-03-05T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/95145 TID:202465179 |
url |
http://hdl.handle.net/10362/95145 |
identifier_str_mv |
TID:202465179 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.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 |
instname_str |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799137998863859712 |