FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/DCOSS.2018.00018 http://hdl.handle.net/11449/195234 |
Resumo: | Recently, many cities are facing mobility and safety issues, commonly related to traffic congestion and the high number of city-wide criminal incidents. Several Intelligent Transportation Systems (ITS) were proposed to overcome mobility issues. Meanwhile, some safety-based systems were proposed to guide pedestrians and drivers toward safest paths. However, most of these systems address only a single issue. Hence, in order to avoid traffic congestion, an ITS may guide vehicles toward risky areas, while a safety-based system may guide them toward congested ones, focusing only on the safety of drivers and passengers. This paper introduces FnS (Faster and Safer), a hybrid ITS which employs accurate knowledge about traffic conditions and unsafety levels on roads for improving the safety of drivers and passengers at the same time it deals with traffic congestion. Simulation results under a realistic scenario have shown that FnS outperformed state-of-the-art approaches that deal with mobility or safety issues. |
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FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation SystemRecently, many cities are facing mobility and safety issues, commonly related to traffic congestion and the high number of city-wide criminal incidents. Several Intelligent Transportation Systems (ITS) were proposed to overcome mobility issues. Meanwhile, some safety-based systems were proposed to guide pedestrians and drivers toward safest paths. However, most of these systems address only a single issue. Hence, in order to avoid traffic congestion, an ITS may guide vehicles toward risky areas, while a safety-based system may guide them toward congested ones, focusing only on the safety of drivers and passengers. This paper introduces FnS (Faster and Safer), a hybrid ITS which employs accurate knowledge about traffic conditions and unsafety levels on roads for improving the safety of drivers and passengers at the same time it deals with traffic congestion. Simulation results under a realistic scenario have shown that FnS outperformed state-of-the-art approaches that deal with mobility or safety issues.European UnionBrazilian Ministry of Science, Technology and Innovation (MCTI) through RNPBrazilian Ministry of Science, Technology and Innovation (MCTI) through CTICUniv Estadual Campinas, Inst Comp, Campinas, SP, BrazilUniv Ctr Euripides Marilia, Human Comp Interact Grp, Marilia, BrazilStratelli Strateg Intelligence, Sao Paulo, SP, BrazilSao Paulo State Univ, Informat Sci Dept, Sao Paulo, SP, BrazilSao Paulo State Univ, Informat Sci Dept, Sao Paulo, SP, BrazilEuropean Union: 688941IeeeUniversidade Estadual de Campinas (UNICAMP)Univ Ctr Euripides MariliaStratelli Strateg IntelligenceUniversidade Estadual Paulista (Unesp)Souza, Allan M. deBotega, Leonardo C. [UNESP]Villas, LeandroIEEE2020-12-10T17:27:46Z2020-12-10T17:27:46Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject77-84http://dx.doi.org/10.1109/DCOSS.2018.000182018 14th International Conference On Distributed Computing In Sensor Systems (dcoss). New York: Ieee, p. 77-84, 2018.2325-2936http://hdl.handle.net/11449/19523410.1109/DCOSS.2018.00018WOS:000518380200010Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 14th International Conference On Distributed Computing In Sensor Systems (dcoss)info:eu-repo/semantics/openAccess2021-10-23T07:00:31Zoai:repositorio.unesp.br:11449/195234Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:00:58.448356Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System |
title |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System |
spellingShingle |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System Souza, Allan M. de |
title_short |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System |
title_full |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System |
title_fullStr |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System |
title_full_unstemmed |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System |
title_sort |
FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System |
author |
Souza, Allan M. de |
author_facet |
Souza, Allan M. de Botega, Leonardo C. [UNESP] Villas, Leandro IEEE |
author_role |
author |
author2 |
Botega, Leonardo C. [UNESP] Villas, Leandro IEEE |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Univ Ctr Euripides Marilia Stratelli Strateg Intelligence Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Souza, Allan M. de Botega, Leonardo C. [UNESP] Villas, Leandro IEEE |
description |
Recently, many cities are facing mobility and safety issues, commonly related to traffic congestion and the high number of city-wide criminal incidents. Several Intelligent Transportation Systems (ITS) were proposed to overcome mobility issues. Meanwhile, some safety-based systems were proposed to guide pedestrians and drivers toward safest paths. However, most of these systems address only a single issue. Hence, in order to avoid traffic congestion, an ITS may guide vehicles toward risky areas, while a safety-based system may guide them toward congested ones, focusing only on the safety of drivers and passengers. This paper introduces FnS (Faster and Safer), a hybrid ITS which employs accurate knowledge about traffic conditions and unsafety levels on roads for improving the safety of drivers and passengers at the same time it deals with traffic congestion. Simulation results under a realistic scenario have shown that FnS outperformed state-of-the-art approaches that deal with mobility or safety issues. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 2020-12-10T17:27:46Z 2020-12-10T17:27:46Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/DCOSS.2018.00018 2018 14th International Conference On Distributed Computing In Sensor Systems (dcoss). New York: Ieee, p. 77-84, 2018. 2325-2936 http://hdl.handle.net/11449/195234 10.1109/DCOSS.2018.00018 WOS:000518380200010 |
url |
http://dx.doi.org/10.1109/DCOSS.2018.00018 http://hdl.handle.net/11449/195234 |
identifier_str_mv |
2018 14th International Conference On Distributed Computing In Sensor Systems (dcoss). New York: Ieee, p. 77-84, 2018. 2325-2936 10.1109/DCOSS.2018.00018 WOS:000518380200010 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2018 14th International Conference On Distributed Computing In Sensor Systems (dcoss) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
77-84 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808129572908040192 |