Letting Drivers Know What is Going on in Traffic

Chen, Fang; Wang, Minjuan; Duan, Lian

doi:10.1016/b978-0-12-397199-9.00010-0

Cited by 8 publications

(5 citation statements)

References 52 publications

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“…(A) Driving behavior Some studies claim that culture and people's traditions have a major impact on how drivers control their cars and driving safety. Studies on Chinese drivers' behavior have shown that aggressive driving contributes significantly to traffic accidents, i.e., around 84.6% of car accidents are caused by traffic violations [1]. This latter study proved that bad driving habits, a meager understanding of other road users, and a lack of respect for traffic regulations are reasons that contribute to traffic accidents.…”

Section: Related Literaturementioning

confidence: 76%

“…Studies have shown that the cultural and educational backgrounds of people can have a major impact on driving behavior and can play an important role in driving safety in ITS. For instance, there are studies on Chinese drivers' behavior showing that aggressive driving makes a significant contribution to traffic accidents, and statistics show that 84.6% of traffic accidents are caused by driving rules violations [1]. Usually, the driving behavior in ITS is also impacted by the traffic control strategy.…”

Section: Introductionmentioning

confidence: 99%

“…Another strategy, the congestion coefficient route guidance strategy, was proposed by Wang et al [3]. This latter strategy proved to be better than the travel time route guidance strategy and mean velocity route guidance strategy used in [1]. The congestion coefficient route guidance strategy was then popularly employed in [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Efficient Traffic Flow Guidance Feedback Strategy Considering Drivers’ Disobedience in ITS

Labadie

Khoukhi

2023

Applied Sciences

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Some research claims that the cultural features of people may have a major impact on driving behavior and can play a serious role in the driving safety. Indeed, unlike machines that follow the instructions strictly, drivers have their own will and may disobey; they sometimes do things completely opposite to the instructions given by the central vehicle system. On the other side, it is proven that the traffic flow guidance feedback strategy has a significant effect on improving road traffic flow capacity. This paper deals with traffic flow dynamics while real-time information is integrated. Drivers’ obedience rate to the instructions provided by an intelligent transportation system (ITS) is also considered. In addition, we implemented the process of pre-filtering the drivers for better managing the traffic, to the best of our knowledge; thus this process is not considered in the related literature. We introduced a dynamic weighted vehicle density feedback strategy (DWVDFS) with SUMO software 19.386-16 for determining whether traffic congestion happens or not. The simulation model considers three-route scenarios with one entrance and one exit. The added value of the proposed pre-filtering process and DWVDFS is also evaluated.

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Section: Related Literaturementioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

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Efficient Traffic Flow Guidance Feedback Strategy Considering Drivers’ Disobedience in ITS

Labadie

Khoukhi

2023

Applied Sciences

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“…Driving behavior can be learned and unlearned as it is environmentally and culturally mediated (Chen, Wang, & Duan, 2014). Many studies indicated that driving behavior is a primary safety concern (ibid).…”

Section: Driving Behavior and Attitudesmentioning

confidence: 99%

Drivers’ Attitudes on Campus Roads: A review

Hashim

Masuri

Isa

et al. 2020

E-BPJ

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Despite numerous campaigns on road safety for the university population, driving attitudes off campus is often reflected on campus. Thus, the paper reviews the literature on why traffic congestion and accidents occur on campus with a focus on drivers' attitudes. The scope of the investigation will be the students, staff, and other university stakeholders who regularly drive on campus. The approach for this paper is more of a literature review with narratives and descriptions of the campus topology. The analyses and interpretations of the literature were through systematic identification of themes and variables which will be discussed in the paper.Keywords: Campus traffic; Driver attitude; Transport system planning; Driver behavioreISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v5i13.1950

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“…Conforme exposto no Capítulo 1, muitos desses sistemas têm sido estudados por pesquisadores, estimulados pela comunidade científica/acadêmica e pela indústria. De acordo com Chen [50], estes tipos de sistemas podem ser divididos em três categorias básicas, conforme organizado na Tabela 2.1. A utilização dos MPC na implementação do sistema permite que este seja classificado como um Sistema Preditivo.…”

Section: Sistemas Avançados De Assistência Ao Motoristaunclassified

Desenvolvimento E Simulação De Um Controlador Semiautônomo Baseado Em Inteligência Artificial Para Viaturas Militares: Aplicações Da Família De Blindados Guarani

AZEVEDO¹

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Ao Professor Marco Antonio Meggiolaro, pela oportunidade que nos permitiu desenvolver este trabalho. Sua valiosa orientação e o contato com suas fascinantes habilidades são experiências de extrema relevância para meu desenvolvimento acadêmico e profissional.Ao Professor Mauro Speranza Neto, por toda colaboração desde os primeiros passos deste projeto. Sua participação, além de ter sido fundamental para a execução do trabalho, conferem-lhe maior credibilidade.Ao Coronel Armando Morado Ferreira, admirável exemplo de Oficial do Quadro de Engenheiros Militares, por suas contribuições e principalmente pelos esforços que me permitiram ter a chance de encarar este desafio, reflexos da confiança em mim depositada.Ao Major Ricardo Teixeira da Costa Neto, pelas proveitosas discussões e sugestões em alguns encontros no IME. Sua presença na banca de avaliação deste trabalhoé um privilégio, por sua competência técnica reconhecida entre seus colegas e alunos.Aos A CAPES, pelo suporte financeiro.Ao Exército Brasileiro, instituiçãoà qual devo todas as minhas oportunidades de adquirir conhecimento técnico-científico. Espero conseguir retribuí-lo conforme as expectativas.A minha irmã Tamyres, pelo companheirismo, e aos meus pais Lourdes e Hebert, nobres exemplos de esforço e dedicação que me passaram os valores fundamentais para atingir este objetivo.A minha querida "quase esposa" Eliane, por todo amor, carinho, compreensão e serenidade nos difíceis e sacrificantes momentos em que a distância nos maltrata. Ao Criador, pela proteção e pela força que me permitiram trabalhar para vencer mais uma etapa. The purpose of this work is to investigate the use of Fuzzy Inference Systems to design an appropriate semi-autonomous control system for military vehicles, from which the choice of the automatic controller intervention level would be achieved. Basic concepts about the application of Fuzzy Inference Systems for the design of a weighted signal generator and about the Model Predictive Controllers theory are presented. These concepts were used for the implementation of the proposed semiautonomous control system. From the mathematical model of the vehicular dynamic system, results were obtained through simulated tests where the military vehicle was being operated in hazardous situations and in which the intervention of the automatic controller was necessary, e.g., in the presence of hostile enemy threats or in highly destabilizing maneuvers. The behavior of the controller's intervention variable is presented through its evolution curves and indicates its increase accordingly to the growth of the threat level to which the vehicle is exposed. The results are criticyzed, and it is concluded that the use of the proposed system will result in a qualitative increase in vehicle's safety, making it a more efficient military system, with greater operational capacity and enhancing the skills of its driver.

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Letting Drivers Know What is Going on in Traffic

Cited by 8 publications

References 52 publications

Efficient Traffic Flow Guidance Feedback Strategy Considering Drivers’ Disobedience in ITS

Efficient Traffic Flow Guidance Feedback Strategy Considering Drivers’ Disobedience in ITS

Drivers’ Attitudes on Campus Roads: A review

Desenvolvimento E Simulação De Um Controlador Semiautônomo Baseado Em Inteligência Artificial Para Viaturas Militares: Aplicações Da Família De Blindados Guarani

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