Safe and Sound: Driver Safety-Aware Vehicle Re-Routing Based on Spatiotemporal Information

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniv Bern-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade Federal de Minas Gerais (UFMG)-
Autor(es): dc.creatorSouza, Allan M. de-
Autor(es): dc.creatorBraun, Torsten-
Autor(es): dc.creatorBotega, Leonardo C. [UNESP]-
Autor(es): dc.creatorVillas, Leandro A.-
Autor(es): dc.creatorLoureiro, Antonio A. F.-
Data de aceite: dc.date.accessioned2022-02-22T00:06:31Z-
Data de disponibilização: dc.date.available2022-02-22T00:06:31Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TITS.2019.2958624-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/195643-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/195643-
Descrição: dc.descriptionVehicular traffic re-routing is key to provide better vehicular mobility. However, considering just traffic-related information to recommend better routes for each vehicle is far from achieving the desired requirements of a good Traffic Management System, which intends to improve not only mobility but also driving experience and safety of drivers and passengers. Context-aware and multi-objective re-routing approaches will play an important role in traffic management. However, most of these approaches are deterministic and can not support the strict requirements of traffic management applications, since many vehicles potentially will take the same route, and, thus, degrade the overall traffic efficiency. In this work, we introduce Safe and Sound (SNS), a non-deterministic multi-objective re-routing approach for improving traffic efficiency and reduce public safety risks (based on criminal events) for drivers and passengers. SNS employs a hybrid architecture and a cooperative re-routing approach for improving system scalability and computation efforts. SNS uses a recurrent neural network to both predict future safety risks dynamics and enable a personalized re-routing in which each vehicle decides the risks it wants to avoid. Simulation results revealed that when compared to state-of-the-art approaches, SNS reduces the CPU time of the re-routing algorithm in approximately 99% and decreases the average safety risk for drivers and passengers in at least 30% while keeping efficient traffic mobility.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionUniv Estadual Campinas, Inst Comp, BR-13083970 Campinas, SP, Brazil-
Descrição: dc.descriptionUniv Bern, Inst Comp Sci & Appl Math, CH-3012 Bern, Switzerland-
Descrição: dc.descriptionState Univ Sao Paulo, Informat Sci Dept, BR-01049010 Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Fed Minas Gerais, Dept Comp Sci, BR-31270901 Belo Horizonte, MG, Brazil-
Descrição: dc.descriptionState Univ Sao Paulo, Informat Sci Dept, BR-01049010 Sao Paulo, Brazil-
Descrição: dc.descriptionFAPESP: 2018/19639-5-
Descrição: dc.descriptionFAPESP: 2019/24937-8-
Formato: dc.format3973-3989-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-inst Electrical Electronics Engineers Inc-
Relação: dc.relationIeee Transactions On Intelligent Transportation Systems-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectSafety-
Palavras-chave: dc.subjectVehicles-
Palavras-chave: dc.subjectSpatiotemporal phenomena-
Palavras-chave: dc.subjectPrediction algorithms-
Palavras-chave: dc.subjectVehicle dynamics-
Palavras-chave: dc.subjectHeuristic algorithms-
Palavras-chave: dc.subjectRoads-
Palavras-chave: dc.subjectVehicle routing-
Palavras-chave: dc.subjectvehicle safety-
Palavras-chave: dc.subjectadvanced driver assistance-
Título: dc.titleSafe and Sound: Driver Safety-Aware Vehicle Re-Routing Based on Spatiotemporal Information-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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