Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study
Ano de defesa: | 2022 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | eng |
Instituição de defesa: |
Biblioteca Digitais de Teses e Dissertações da USP
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: | |
Link de acesso: | https://www.teses.usp.br/teses/disponiveis/18/18144/tde-17052023-145001/ |
Resumo: | Horizontal curves of rural highways are prone to a considerably high number of fatalities, since an erroneous perception can lead to unsafe driving, which generally occurs when a driver fails to notice the highway geometry or changes in the driving environment, particularly curved segments. This study aimed to understand the geometric characteristics of curved segments, such as radius and approach tangents, in the driving performance towards minimizing vehicle crashes. Speed profiles and lateral position, the most common indicators of successful negotiation in curves, and eye movements were recorded during an experiment conducted in a fixed-base driving simulator equipped with an eye-tracking system with a road infrastructure (a three-lane highway) and its surroundings. Therefore, the main objective of the study was the exploration of the relationship between the behavior measures collected during the experiment and the different levels of curves geometries available. A driving simulator can faithfully reproduce any situation and enable sustainable research because it is a high-tech and costeffective tool that enables repeatability in a laboratory. The experiment was conducted with 28 drivers, who covered approximately 500 test kilometers with 90 horizontal curves comprising nine different combinations of radii and approach tangent lengths. In addition, drivers\' behaviors on each curve were classified as ideal, normal, intermediate, cutting, or correcting, according to their trajectories and speed changes for analyses of the performance parameters and their correlation by factorial ANOVA and Pearson chi-square tests. The cross-tabulation results indicated the safest behavior significantly increased when the curve radius increased, moreover, the proposed performance measures were significantly affected by the curve radii. However, the driving behavior was not impacted by the approach tangent length. A better understanding of the way drivers negotiate curves can provide valuable information for evaluating and allocating roadway-based countermeasures. The study has shown the effectiveness of the driving simulation in improving road infrastructures through the relationship between design road features and users\' behavioral parameters. |
id |
USP_fd9f1b33a2c2f77cffe0f877da38b83c |
---|---|
oai_identifier_str |
oai:teses.usp.br:tde-17052023-145001 |
network_acronym_str |
USP |
network_name_str |
Biblioteca Digital de Teses e Dissertações da USP |
repository_id_str |
|
spelling |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator studyClassificação comportamental do motorista em curvas com base na relação entre velocidade, trajetórias e movimentos oculares: um estudo em simulador de direçãoclassificação de trajetóriascurve negotiationdriving simulatoreye movementsmovimentos do olharperformance de curvassimulador de direçãospeedtrajectory classificationvelocidadeHorizontal curves of rural highways are prone to a considerably high number of fatalities, since an erroneous perception can lead to unsafe driving, which generally occurs when a driver fails to notice the highway geometry or changes in the driving environment, particularly curved segments. This study aimed to understand the geometric characteristics of curved segments, such as radius and approach tangents, in the driving performance towards minimizing vehicle crashes. Speed profiles and lateral position, the most common indicators of successful negotiation in curves, and eye movements were recorded during an experiment conducted in a fixed-base driving simulator equipped with an eye-tracking system with a road infrastructure (a three-lane highway) and its surroundings. Therefore, the main objective of the study was the exploration of the relationship between the behavior measures collected during the experiment and the different levels of curves geometries available. A driving simulator can faithfully reproduce any situation and enable sustainable research because it is a high-tech and costeffective tool that enables repeatability in a laboratory. The experiment was conducted with 28 drivers, who covered approximately 500 test kilometers with 90 horizontal curves comprising nine different combinations of radii and approach tangent lengths. In addition, drivers\' behaviors on each curve were classified as ideal, normal, intermediate, cutting, or correcting, according to their trajectories and speed changes for analyses of the performance parameters and their correlation by factorial ANOVA and Pearson chi-square tests. The cross-tabulation results indicated the safest behavior significantly increased when the curve radius increased, moreover, the proposed performance measures were significantly affected by the curve radii. However, the driving behavior was not impacted by the approach tangent length. A better understanding of the way drivers negotiate curves can provide valuable information for evaluating and allocating roadway-based countermeasures. The study has shown the effectiveness of the driving simulation in improving road infrastructures through the relationship between design road features and users\' behavioral parameters.As curvas horizontais em rodovias são propensas a um número consideravelmente alto de fatalidades porque uma percepção errônea pode levar a uma condução insegura. Isso geralmente ocorre quando um motorista não percebe a geometria da rodovia ou mudanças no ambiente de direção, particularmente em trechos curvilíneos. Este estudo teve como objetivo compreender as características geométricas de segmentos curvos, como raio e tangentes de aproximação, no desempenho de condução para minimizar colisões de veículos. Perfis de velocidade e posição lateral, os indicadores mais comuns de sucesso ao trafegar por curvas, e movimentos dos olhos foram registrados durante um experimento conduzido em um simulador de direção de base fixa equipado com um sistema de rastreio ocular com infraestrutura viária (uma rodovia de três pistas) e seu entorno. Um simulador de condução pode reproduzir fielmente diversas situações e permitir relevantes pesquisas por ser uma ferramenta de alta tecnologia e custo-benefício que permite a replicação do experimento em laboratório. O experimento foi realizado com 28 motoristas que percorreram aproximadamente 500 quilômetros de teste com 90 curvas horizontais compreendendo nove combinações diferentes de raios e comprimentos de tangentes de aproximação. O comportamento dos motoristas em cada curva foi classificado como ideal, normal, intermediário, cortante ou corretor, de acordo com suas trajetórias e mudanças de velocidade para análise dos parâmetros de desempenho e sua correlação, realizadas por ANOVA fatorial e testes qui-quadrado de Pearson. Os resultados da tabulação cruzada indicaram que o comportamento mais seguro aumentou significativamente quando o raio da curva aumentou, e as medidas de desempenho dos raios da curva foram bastante afetadas. No entanto, a atividade de condução do veículo não fora afetada pelo comprimento da tangente de aproximação. Trazer um melhor entendimento sobre como motoristas dirigem em curvas pode fornecer informações valiosas para avaliação e criação de contramedidas de segurança em rodovias. Além disto, o estudo demonstra a eficácia dos simuladores de direção para aperfeiçoar a infraestrutura rodoviária através da compreensão da relação entre elementos do projeto rodoviário e parâmetros comportamentais dos usuários.Biblioteca Digitais de Teses e Dissertações da USPLarocca, Ana Paula CamargoRondora, Maria Emília Schio2022-12-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/18/18144/tde-17052023-145001/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2024-10-09T13:16:04Zoai:teses.usp.br:tde-17052023-145001Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212024-10-09T13:16:04Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study Classificação comportamental do motorista em curvas com base na relação entre velocidade, trajetórias e movimentos oculares: um estudo em simulador de direção |
title |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study |
spellingShingle |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study Rondora, Maria Emília Schio classificação de trajetórias curve negotiation driving simulator eye movements movimentos do olhar performance de curvas simulador de direção speed trajectory classification velocidade |
title_short |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study |
title_full |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study |
title_fullStr |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study |
title_full_unstemmed |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study |
title_sort |
Driver behavioral classification on curves based on the relationship between speed, trajectories, and eye movements: a driving simulator study |
author |
Rondora, Maria Emília Schio |
author_facet |
Rondora, Maria Emília Schio |
author_role |
author |
dc.contributor.none.fl_str_mv |
Larocca, Ana Paula Camargo |
dc.contributor.author.fl_str_mv |
Rondora, Maria Emília Schio |
dc.subject.por.fl_str_mv |
classificação de trajetórias curve negotiation driving simulator eye movements movimentos do olhar performance de curvas simulador de direção speed trajectory classification velocidade |
topic |
classificação de trajetórias curve negotiation driving simulator eye movements movimentos do olhar performance de curvas simulador de direção speed trajectory classification velocidade |
description |
Horizontal curves of rural highways are prone to a considerably high number of fatalities, since an erroneous perception can lead to unsafe driving, which generally occurs when a driver fails to notice the highway geometry or changes in the driving environment, particularly curved segments. This study aimed to understand the geometric characteristics of curved segments, such as radius and approach tangents, in the driving performance towards minimizing vehicle crashes. Speed profiles and lateral position, the most common indicators of successful negotiation in curves, and eye movements were recorded during an experiment conducted in a fixed-base driving simulator equipped with an eye-tracking system with a road infrastructure (a three-lane highway) and its surroundings. Therefore, the main objective of the study was the exploration of the relationship between the behavior measures collected during the experiment and the different levels of curves geometries available. A driving simulator can faithfully reproduce any situation and enable sustainable research because it is a high-tech and costeffective tool that enables repeatability in a laboratory. The experiment was conducted with 28 drivers, who covered approximately 500 test kilometers with 90 horizontal curves comprising nine different combinations of radii and approach tangent lengths. In addition, drivers\' behaviors on each curve were classified as ideal, normal, intermediate, cutting, or correcting, according to their trajectories and speed changes for analyses of the performance parameters and their correlation by factorial ANOVA and Pearson chi-square tests. The cross-tabulation results indicated the safest behavior significantly increased when the curve radius increased, moreover, the proposed performance measures were significantly affected by the curve radii. However, the driving behavior was not impacted by the approach tangent length. A better understanding of the way drivers negotiate curves can provide valuable information for evaluating and allocating roadway-based countermeasures. The study has shown the effectiveness of the driving simulation in improving road infrastructures through the relationship between design road features and users\' behavioral parameters. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-06 |
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 |
https://www.teses.usp.br/teses/disponiveis/18/18144/tde-17052023-145001/ |
url |
https://www.teses.usp.br/teses/disponiveis/18/18144/tde-17052023-145001/ |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
|
dc.rights.driver.fl_str_mv |
Liberar o conteúdo para acesso público. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Liberar o conteúdo para acesso público. |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da USP instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Biblioteca Digital de Teses e Dissertações da USP |
collection |
Biblioteca Digital de Teses e Dissertações da USP |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br |
_version_ |
1818279202461319168 |