956 resultados para Driver Profile
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This paper presents the outcomes of a research work consisting in the development of an Electric Vehicle Assistant (EVA), which creates and stores a driver profile where are contained the driving behaviours related with the EV energy consumption, the EV battery charging information, and the performed routes. This is an application for mobile devices that is able to passively track the driver behaviour and to access several information related with the EV in real time. It is also proposed a range prediction approach based on probability to take into account unpredictable effects of personal driving style, traffic or weather.
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This paper discusses the results of applied research on the eco-driving domain based on a huge data set produced from a fleet of Lisbon's public transportation buses for a three-year period. This data set is based on events automatically extracted from the control area network bus and enriched with GPS coordinates, weather conditions, and road information. We apply online analytical processing (OLAP) and knowledge discovery (KD) techniques to deal with the high volume of this data set and to determine the major factors that influence the average fuel consumption, and then classify the drivers involved according to their driving efficiency. Consequently, we identify the most appropriate driving practices and styles. Our findings show that introducing simple practices, such as optimal clutch, engine rotation, and engine running in idle, can reduce fuel consumption on average from 3 to 5l/100 km, meaning a saving of 30 l per bus on one day. These findings have been strongly considered in the drivers' training sessions.
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Electric Vehicles (EVs) have limited energy storage capacity and the maximum autonomy range is strongly dependent of the driver's behaviour. Due to the fact of that batteries cannot be recharged quickly during a journey, it is essential that a precise range prediction is available to the driver of the EV. With this information, it is possible to check if the desirable destination is achievable without a stop to charge the batteries, or even, if to reach the destination it is necessary to perform an optimized driving (e.g., cutting the air-conditioning, among others EV parameters). The outcome of this research work is the development of an Electric Vehicle Assistant (EVA). This is an application for mobile devices that will help users to take efficient decisions about route planning, charging management and energy efficiency. Therefore, it will contribute to foster EVs adoption as a new paradigm in the transportation sector.
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This paper presents a mobile information system denominated as Vehicle-to-Anything Application (V2Anything App), and explains its conceptual aspects. This application is aimed at giving relevant information to Full Electric Vehicle (FEV) drivers, by supporting the integration of several sources of data in a mobile application, thus contributing to the deployment of the electric mobility process. The V2Anything App provides recommendations to the drivers about the FEV range autonomy, location of battery charging stations, information of the electricity market, and also a route planner taking into account public transportations and car or bike sharing systems. The main contributions of this application are related with the creation of an Information and Communication Technology (ICT) platform, recommender systems, data integration systems, driver profile, and personalized range prediction. Thus, it is possible to deliver relevant information to the FEV drivers related with the electric mobility process, electricity market, public transportation, and the FEV performance.
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O automóvel tem sido nas últimas décadas o principal meio de transporte para a realização de deslocações diárias. Este é um panorama tanto a nível Nacional como Europeu e deve-se ao crescimento económico e aos investimentos centrados em infraestruturas rodoviárias. A organização das atividades e o planeamento nos meios urbanos está, muitas vezes, projetada em função do automóvel e pouco preparado para outras formas de mobilidade, nomeadamente para peões e ciclistas. Existe uma necessidade de mudança deste panorama e a necessidade de uma sociedade que privilegie os modos de transporte suave. No entanto, surge a necessidade de garantir a segurança dos utentes mais vulneráveis da via pública. Esta dissertação de Mestrado tem como principal objetivo analisar de que forma a sinistralidade viária para peões e ciclistas tem evoluído nas freguesias abrangidas pela atividade da Polícia de Segurança Pública (PSP) de Aveiro e quais as principais dificuldades que estes enfrentam nas suas deslocações diárias. Para alcançar este objetivo foram analisados dados de sinistralidade viária fornecidos pela PSP do comando distrital de Aveiro que envolviam a interação de veículos motorizados e utentes vulneráveis da via pública (peões ou ciclistas). Numa segunda fase foi elaborado um inquérito, com o objetivo de perceber as principais dificuldades encontradas pelos utentes da Universidade que privilegiam os modos de deslocação suave nas suas viagens diárias. Este estudo revelou que para a área em estudo, no concelho de Aveiro, o número de acidentes que envolvem a interação de veículos motorizados com utentes vulneráveis da via pública aumentou 5% de 2012 a 2013 e 4% de 2013 a 2014. Os utentes com idades superiores a 55 anos revelaram-se os mais vulneráveis, não só em termos de número de ocorrências mas também na gravidade de lesões, representando 50% de mortes e feridos graves, Em termos de atropelamento de peões existe uma forte tendência para peões do sexo feminino (73%), em oposição ao perfil do condutor atropelante onde 69% são do sexo masculino Em relação a acidentes envolvendo ciclistas, 68% dos lesados são do sexo masculino. Uma possível explicação poderá consistir numa maior utilização de bicicletas por parte dos mesmos, como foi comprovado na amostra recolhida no inquérito, mas não existem mais estatísticas em Aveiro sobre a distribuição por género dos utilizadores de bicicleta. Do inquérito efetuado conclui-se que os principais problemas encontrados pelos utentes inquiridos são, à semelhança de peões e ciclistas, a falta de sensibilização dos automobilistas e as condições meteorológicas. Em terceiro lugar encontra-se, para os peões, o aumento do risco de atos de vandalismo e assaltos e, para os ciclistas, a falta de vias dedicadas. Por outro lado, as principais motivações são, tanto para peões como para ciclistas, o custo reduzido ou nulo e a facilidade de locomoção.
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Tourism is a phenomenon that moves millions of people around the world, taking as a major driver of the global economy. Such relevance is reflected in the proliferation of studies in the overall area known as tourism, under various perspectives and backgrounds. In the light of such multitude of insights our study aims at gaining a deeper understanding of customer profiling and behavior in cross-border tourism destinations. Previous studies conducted in such contexts suggest that cross-border regions (CBRs) are an attractive and desirable idea, yet requiring further theoretical and empirical research. The new configuration of many CBRs calls for a debate on issues concerning its development, raising up important dimensions, such as, organization and planning of common tourism destinations. There is still a gap in the understanding of destination management in CBRs and the customer profile and motivations. Overall this research aims at attaining a deeper understanding of the profile and behavior of consumers in tourism settings, addressing the predisposition for the destination. The study addresses the following research question: “What factors influence customer behavior and attitudes in a CBRs tourism destination?” To address our question we will take an interdisciplinary perspective bringing together inputs from marketing, tourism and local economics. When addressing consumer behavior in tourism previous studies considered the following constructs: involvement, place attachment, satisfaction and destination loyalty. In order to establish the causal relationships in our theoretical model, we intend to develop a predominant quantitative design, yet we plan to conduct exploratory interviews. In the analysis and discussion of results, we intend to use Structural Equation Modeling. It will further allow understanding how the constructs in the research model relate to each other in the specified context. Results are also expected to have managerial implications. Consequently our results may assist decision makers in developing their local policies.
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Decreased gustatory and olfactory capacity is one of the problems caused by tobacco use. The objectives of this study were to determine the sensory profile of six grape nectar samples sweetened with different sweeteners and to verify the drivers of liking in two distinct consumer groups: smokers and nonsmokers. The sensory profile was constructed by twelve trained panelists using quantitative descriptive analysis (QDA). Consumer tests were performed with 112 smokers and 112 nonsmokers. Partial least squares regression analyses was used to identify the drivers of acceptance and rejection of the grape nectars among the two consumer groups. According to the QDA, the samples differed regarding six of the nineteen attributes generated. The absolute averages of the affective test were lower in the group of smokers; possibly because smoking influences acceptance and eating preferences, especially with regard to sweet foods. The results showed that the grape flavor was the major driver of preference for acceptance of the nectar, while astringency, wine aroma, bitterness and sweetness, and bitter aftertaste were drivers of rejection in the two groups of consumers, with some differences between the groups.
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Deer-vehicle collisions (DVCs) create societal impacts throughout the range of white-tailed deer (Odocoileus virginanus). In Michigan reported DVCs increased by nearly 60% between 1992-2003, with current estimates at more than 65,000 DVCs per year and a mean of $2,300 vehicle damage. To better understand where to direct education and information programs, we used Office of Highway Safety Planning (OHSP) data, 2001-2003, to profile driver characteristics and accident situations of DVCs in Washtenaw, Oakland, and Monroe Counties in Michigan. Each county varies in intensity of land use, human and deer densities, and available deer habitat. Deer density in Washtenaw, Oakland, and Monroe Counties was 49.5, 21.9 and 8.9 per mi2, respectively, and the annual rate of DVCs in these counties was 5.3, 2.6 and 1.8 per 1,000 licensed drivers. Drivers are at particular risk of being involved in DVCs between 6pm- 6am, which includes dawn and dusk commuting hours, and night. Single lane roads and roads with higher posted speed limits provided greater risk to drivers of involvement in a DVC. Middle-aged drivers, particularly males, were at increased risk deer-related collisions. Results from this study will be combined with survey research to determine how best to educate drivers about risk factors that make occurrence of a DVC more likely.
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National Highway Traffic Safety Administration, Office of Research and Traffic Records, Washington, D.C.
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Mode of access: Internet.
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Federal Highway Administration, Washington, D.C.
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National Highway Traffic Safety Administration, Office of Driver and Pedestrian Safety, Washington, D.C.
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Arizona Department of Transportation, Phoenix
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Mode of access: Internet.
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National Highway Traffic Safety Administration, Washington, D.C.