Thesis (Ed. D.)--University of Missouri-Columbia, 1998. / Typescript. Vita. Includes bibliographical references (leaves 70-73). Also available on the Internet.

Thesis (doctoral)--Göteborgs universitet, 2001. / Extra t.p. with thesis statement and English abstract inserted. Includes bibliographical references (p. 234-244).

Thesis (Ph. D.)--UCLA, 2009. / Vita. Includes bibliographical references (leaves 274-291).

Thesis (M.S.)--University of Wisconsin--Madison, 1967. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph.D.) - University of Queensland, 2005. / Includes bibliography.

Thesis (Ph.D.)--University of California, San Francisco, 2004. / Includes bibliographical references. Also available online.

By the year 2030 it is estimated that one in five licensed drivers in the United States will be over the age of 65. Driving allows engagement in the community for shopping, banking, maintaining social connections, and accessing health care. However, age-related decline can impact many of the cognitive processes and physical abilities necessary for safe driving performance. Exercise has beneficial effects on specific cognitive processes and physical function, many of which are related to safe driving performance. Tai Chi exercise is known to benefit cognitive and physical function and may influence safe driving performance. The aims of this observational study were to: 1) examine relationships between Tai Chi exercise habits, cognitive processes and physical function related to safe driving performance, 2) compare cognitive processes and physical function related to safe driving performance to normative reference values, and 3) explore potential predictors of safe driving performance. Fifty-eight current Tai Chi practitioners (mean age = 72.9), with a median of greater than three years of Tai Chi practice were recruited from community Tai Chi classes and Tai Chi events. Participants completed a study packet describing self-reported Tai Chi and non-Tai Chi exercise habits, driving habits, self-report measures of dispositional mindfulness (Mindful Attention Awareness Scale, MAAS) and overall well-being (Vitality Plus Scale, VPS), personal history, and health history. Investigator-administered study measures included the DrivingHealth InventoryTM, digit span tests, the Driving Scenes Test, and the Right Foot Tapping test. Statistically significant correlations were found between several study measures. Compared to normative reference values participants performed better on several cognitive and physical measures, and on the MAAS and the VPS measures. Small to large effect sizes were calculated. The strongest predictor of safe driving performance was the digit span backward. Tai Chi exercise has the potential to positively impact cognitive processes and physical function related to safe driving performance through aerobic exercise mechanisms, development of mindfulness, and beneficial influence on overall vitality. The results of this study support the need for further investigation of Tai Chi exercise as a strategy to maintain safe driving performance in older adults.

Thesis (MEng)--Stellenbosch University, 2015. / ENGLISH ABSTRACT: Road accidents are a growing concern for governments and is rising to become one of the leading causes of death in developing countries. Aggressive driving is one of the major causes of road accidents, and it is therefore important to investigate ways to improve people's driving habits. The ubiquitous presence of smartphones provides a new platform on which to implement sensor networks in vehicles, and therefore this thesis focuses on the use of smartphones to monitor a person's driving behaviour. The framework for a smartphone-based system that can detect and classify various driving manoeuvres is researched. As a proof of concept, a system is developed that specifically detects lateral driving manoeuvres and that classifies them as aggressive or not, using a supervised learning classification algorithm. Existing solutions found in research literature are investigated and presented. The best existing solution, a dynamic time warping classification approach, is also implemented and tested. We use an aggressive driving model that is based on the angle of a turn, the lateral force exerted on the vehicle and its speed through the turn. The tests and results of the implemented manoeuvre detection and classifcation algorithms are presented, and thoroughly discussed. The performance of each classifer is tested using the same data set, and a quantitative comparison are made between them. Ultimately, a lateral driving manoeuvre detection and recognition system was successfully developed, and its potential to be implemented on a smartphone was substantiated. The suitability of supervised learning classi ers for classifying aggressive driving, in comparison to dynamic time warping classifcation, was successfully demonstrated and used to validate our aggressive driving model. Conceivably, this work can be employed in the future to develop an holistic smartphone-based driver behaviour monitoring system, which can be easily deployed on a large scale to help make the public drive better. This would make our roads safer, reducing the occurrence of road accidents and fatalities. / AFRIKAANSE OPSOMMING: Padongelukkige is 'n groeiende bekommernis vir regerings en is een van die hoof oorsake van sterftes in ontwikkelende lande. Aggressiewe bestuur is een van die grootste oorsake van padongelukke, en dit is dus belangrik om ondersoek in te stel oor hoe mense se bestuurgewoontes verbeter kan word. Die alomteenwoordigheid van slimfone bied 'n nuwe platform waarop sensor netwerke geïmplementeer kan word in voertuie. Daarom fokus hierdie tesis op die gebruik van slimfone om 'n persoon se bestuurgedrag te moniteer. Die raamwerk vir 'n slimfoon-gebaseerde stelsel wat verskeie bestuurbewegings kan opspoor en klassifiseer is nagevors. As 'n bewys van die konsep, is 'n stelsel ontwikkel wat spesifiek laterale bestuurbewegings opspoor en dan klassifiseer of dit aggressief is of nie, met behulp van 'n klassifikasie algoritme wat onder toesig geleer is. Bestaande oplossings gevind in navorsingsliteratuur word ondersoek en aangebied. Die beste bestaande oplossing, 'n dinamiese tyd buiging klassifikasie benadering, word ook geïmplementeer en getoets. Ons gebruik 'n aggressiewe bestuurmodel wat gebaseer is op die hoek van 'n draai, die laterale krag wat uitgeofen is op die voertuig en sy spoed deur die draai. Die toetse en die resultate van die geïmplementeer beweging opsporing en klassifisering algoritmes word aangebied, en deeglik bespreek. Die prestasie van elke klassifiseerder is getoets met behulp van dieselfde stel data, en 'n kwantitatiewe vergelyking is tussen beide gemaak. Oplaas is 'n laterale bestuurbeweging bemerking en herkenning stelsel suksesvol ontwikkel en sy potensiaal om geïmplementeer te word op 'n slimfoon is gestaaf. Die geskiktheid van die onder-toesig-geleerde klassifiseerders vir die klassifikasie van aggressiewe bestuur, in vergelyking met dinamiese tyd buiging klassifikasie, was suksesvol gedemonstreer en gebruik om ons aggressiewe bestuurmodel te bewys. Hierdie werk kan in die toekoms gebruik word in 'n holistiese slimfoon-gebaseerde bestuurdergedrag monitering stelsel, wat maklik op groot skaal ontplooi kan word om te help verseker dat die publiek beter bestuur. Dit sal ons paaie veiliger maak, en die voorkoms van padongelukke en sterftes verminder.

Airport road access wayfinding refers to a process in which a driver makes a decision to navigate using information support systems in order to arrive to airport successfully. The purpose of this research is to evaluate senior drivers’ behaviour of alternative airport road access designs. In order to evaluate the impact of wayfinding, the combination of simulated driving and completion of a questionnaire were performed. Quantitative data was acquired to give significant results justifying the research outcomes and allow non-biased interpretation of the research results. It represents the process within the development of the methodology and the concept of airport road access design and driving behaviour. Wayfinding complexity varied due to differing levels of road-side furniture. The simulated driving parameters measured were driving mistakes and performances of senior drivers. Three types of driving scenarios were designed consisting of 3.8 miles of airport road access. 40 senior drivers volunteered to undertake these tasks. The questionnaire was used as a supporting study to increase the reliability and validity of the research. Respondents who volunteered for the simulated driving test were encouraged to participate in the questionnaire sessions. The questionnaire was answered after each simulation test was completed. The Mean, Standard Deviation (SD) and Two-Way ANOVA test were used to analyse the results and discussed with reference to the use of the driving simulation. The results confirmed that age group has no significant effect of airport road access complexity design on driving behaviour. Although many studies have been conducted on wayfinding in general, a detailed evaluation on airport road access wayfinding network and driving behaviour in respect of senior drivers were still unexplored domains.

COSTA, Thicianne Malheiros da. Correlatos disposicionais e situacionais da propensão à agressividade no trânsito. 2016. 98f. – Dissertação (Mestrado) – Universidade Federal do Ceará, Programa de Pós-graduação em Psicologia, Fortaleza (CE), 2016. / Submitted by Márcia Araújo (marcia_m_bezerra@yahoo.com.br) on 2016-06-15T13:03:01Z No. of bitstreams: 1 2016_dis_tmcosta.pdf: 1651129 bytes, checksum: 3a6eb4977fe3cac7f17b5c535ee9fa66 (MD5) / Approved for entry into archive by Márcia Araújo (marcia_m_bezerra@yahoo.com.br) on 2016-06-15T13:15:38Z (GMT) No. of bitstreams: 1 2016_dis_tmcosta.pdf: 1651129 bytes, checksum: 3a6eb4977fe3cac7f17b5c535ee9fa66 (MD5) / Made available in DSpace on 2016-06-15T13:15:38Z (GMT). No. of bitstreams: 1 2016_dis_tmcosta.pdf: 1651129 bytes, checksum: 3a6eb4977fe3cac7f17b5c535ee9fa66 (MD5) Previous issue date: 2016 / A presente dissertação teve como objetivo avaliar o poder preditivo dos contextos de trânsito (capital e interior), da idade, do sexo, do tempo de habilitação, dos traços de personalidade e da ansiedade traço sobre a propensão à agressividade no trânsito. Para tanto, desenvolveram-se dois estudos: o Estudo 1 teve como objetivo adaptar e validar a escala de propensão à agressividade no trânsito (EPAT) para o contexto brasileiro; e no Estudo 2, buscou-se testar a influência dos contextos de trânsito (capital e interior), da idade, do sexo, do tempo de habilitação, dos traços de personalidade e da ansiedade traço sobre a propensão à agressividade no trânsito. Especificamente, o primeiro estudo, foi realizado em três etapas. Na primeira, efetivaram-se a tradução e a validação semântica dos itens da escala; contou-se com o auxílio de dois colaboradores brasileiros bilíngues, utilizando o método do backtranslation, para obter uma única versão apropriada do instrumento em português; posteriormente, dez pessoas, escolhidas aleatoriamente da população alvo do estudo, avaliaram os itens e as instruções da medida, indicando que estavam inteligíveis. Na segunda, escalonaram-se os diferentes níveis de reação emocional e retaliação das opções de respostas apresentadas em cada um dos 19 cenários da EPAT; nessa etapa, contou-se com uma amostra não probabilística de 41 estudantes universitários da cidade de Fortaleza (CE), com idade média de 21 anos (dp = 4,61). Os resultados indicaram que a escala abarca os distintos graus de reação de agressividade. A terceira parte contou com 271 motoristas de Fortaleza, idade média de 35,1 (dp = 13,5). Os participantes responderam aos instrumentos: EPAT, Inventário de Busca de Sensações, Escala de Autocontrole, Questionário de Agressão de Buss-Perry, Inventário dos Cinco Grandes Fatores de Personalidade e perguntas biossociodemográficas. Os resultados apontaram que a EPAT apresenta uma estrutura unifatorial, e adequada validade convergente. O Estudo 2, foco desta dissertação, contou com uma amostra não probabilística de 256 motoristas das cidades de Fortaleza e Sobral (CE), com idades variando entre 18 e 80 anos (m = 31,87 dp = 12,99) e a maioria com Carteira Nacional de Habilitação na categoria B (39,8%). Os participantes responderam a quatro instrumentos: Inventário dos Cinco Grandes Fatores de Personalidade; EPAT; Inventário de Ansiedade Traço-Estado; e Perfil do condutor. Os resultados indicaram que não houve diferenças significativas entre as pontuações dos motoristas da capital e do interior, bem como entre gênero; nas correlações, foram significativas apenas idade, neuroticismo e amabilidade com a propensão à agressividade no trânsito; por fim, a partir da análise de regressão linear múltipla observou-se que apenas a amabilidade se apresentou como variável preditora de tal construto. Não obstante algumas limitações, ressalta-se que os objetivos foram alcançados, sendo propostos estudos futuros que contribuam para a prevenção de comportamentos agressivos e acidentes de trânsito.