941 resultados para Photography in traffic accidents
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This statistical sheet shows traffic fatality comparisons through May, 2016, fatalities by route category, top fatality counties, fatalities by restraint usage and top crash events.
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This statistical sheet shows traffic fatality comparisons through August, 2016, fatalities by route category, top fatality counties, fatalities by restraint usage and top crash events.
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Os acidentes de trânsito continuam a se constituir em um importante problema de saúde pública no Brasil. Objetivo : Analisar as características dos acidentes de transporte terrestre e suas vítimas no município de Cuiabá. Método: Para o estudo da mortalidade foram obtidos dados do Sistema de Informações sobre Mortalidade /Ministério da Saúde, disponíveis em CD-ROM referente aos anos de 1980-2005; para o de morbidade hospitalar foram utilizados os dados Sistemas de Informações Hospitalares no período de 1998-2006 e para o estudo da demanda das unidades de urgência e emergência foi utilizado um banco de dados construído especialmente para esse fim, referente aos meses de maio a junho de 2005. Adotaram-se os conceitos definições estabelecidos na Classificação Internacional de Doenças 10: acidentes de transporte (categ. V01-V99) e acidente de transporte terrestre (V01-V89). Resultados: Em todas as análises, as taxas de mortalidade/morbidade hospitalar se expressaram com valores maiores que a média brasileira. Apesar de apresentar aspectos distintos entre mortalidade, morbidade hospitalar e morbidade da demanda de unidades de urgência e emergência, destacam-se como principais vítimas os jovens do sexo masculino; a vítima qualificada como "ocupante" predomina nos acidentes fatais e os "motociclistas", nos não fatais.Conclusão: este estudo revela que Cuiabá é uma área onde os acidentes de transporte terrestre devem ser tratados como prioridade devido à sua magnitude, seja na mortalidade ou morbidade, trazendo subsídios para o seu enfrentamento
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Mestrado em Segurança e Higiene do Trabalho.
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Mestrado em Engenharia Informática
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Em Portugal, grande parte da rede rodoviária é constituída por pavimentos flexíveis a quente, os quais têm vindo a ser alvo de um estudo exaustivo devido ao elevado aumento do tráfego registado nos últimos anos. Todos os estudos realizados em misturas betuminosas, após 1 de Março de 2008, utilizam as normativas da marcação CE, estabelecidas pela União Europeia no Âmbito da Directiva Comunitária nº 93/465/CEE e têm como objectivo garantir aos utentes que os materiais utilizados foram produzidos de forma controlada, de acordo com os requisitos definidos. Este trabalho teve como principal objectivo avaliar a influência da temperatura e da energia de compactação nas Misturas Betuminosas. Nesse intuito, estudaram‐se diferentes formulações das Misturas Betuminosas, nas quais se fez variar a temperatura e a energia de compactação. Neste trabalho apresentam‐se as formulações propostas, os ensaios realizados segundo a Marcação CE e a análise dos resultados obtidos. Executou‐se, também, o ensaio Marshall de forma a estudar e avaliar o desempenho da mistura. Pressupõe‐se que a variação da temperatura numa mistura betuminosa é bastante importante por ser responsável pelo comportamento dos betumes, o qual se reflecte na mistura originando variações no respectivo comportamento mecânico que serão tanto maiores quanto maior for a percentagem de betume da mesma. A energia de compactação tem como objectivo reduzir o índice de vazios da mistura através do rearranjo das partículas, originando desse modo uma diminuição da camada da mistura betuminosa, responsável pela melhoria do comportamento mecânico e funcional da camada.
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While Cluster-Tree network topologies look promising for WSN applications with timeliness and energy-efficiency requirements, we are yet to witness its adoption in commercial and academic solutions. One of the arguments that hinder the use of these topologies concerns the lack of flexibility in adapting to changes in the network, such as in traffic flows. This paper presents a solution to enable these networks with the ability to self-adapt their clusters’ duty-cycle and scheduling, to provide increased quality of service to multiple traffic flows. Importantly, our approach enables a network to change its cluster scheduling without requiring long inaccessibility times or the re-association of the nodes. We show how to apply our methodology to the case of IEEE 802.15.4/ZigBee cluster-tree WSNs without significant changes to the protocol. Finally, we analyze and demonstrate the validity of our methodology through a comprehensive simulation and experimental validation using commercially available technology on a Structural Health Monitoring application scenario.
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Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Vias de Comunicação e Transportes
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From January, 1984 to December, 1996, 422 patients (ages 9 m-99 y, median 29 y) were admitted after being bitten by spiders which were brought and identified as Phoneutria spp. Most of the bites occurred at March and April months (29.2%), in the houses (54.5%), during the day (76.5%), and in the limbs (feet 40.9%, hands 34.3%). Upon hospital admission, most patients presented only local complaints, mainly pain (92.1%) and edema (33.1%) and were classified as presenting mild (89.8%), moderate (8.5%) and severe (0.5%) envenomation. Few patients (1.2%) did not present signs of envenomation. Severe accidents were only confirmed in two children (9 m, 3 y). Both developed acute pulmonary edema, and the older died 9 h after the accident. Patients more than 70 year-old had a significantly greater (p<0.05) frequency of moderate envenomations compared to the 10-70-year-old individuals. Proceedings to relief local pain were frequently performed (local anesthesia alone 32.0%, local anesthesia plus analgesics 20.6% and oral analgesics alone 25.1%). Only 2.3% of the patients (two cases classified as severe and eight as moderate, eight of them in children) were treated with i.v. antiarachnid antivenom. No antivenom early reaction was observed. In conclusion, accidents involving the genus Phoneutria are common in the region of Campinas, with the highest risk groups being children under 10 years of age and adults over 70 years of age. Cases of serious envenomation are rare (0.5%).
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SUMMARY Ophidic accidents are an important public health problem due to their incidence, morbidity and mortality. An increasing number of cases have been registered in Brazil in the last few years. Several studies point to the importance of knowing the clinical complications and adequate approach in these accidents. However, knowledge about the risk factors is not enough and there are an increasing number of deaths due to these accidents in Brazil. In this context, acute kidney injury (AKI) appears as one of the main causes of death and consequences for these victims, which are mainly young males working in rural areas. Snakes of the Bothrops and Crotalus genera are the main responsible for renal involvement in ophidic accidents in South America. The present study is a literature review of AKI caused by Bothrops and Crotalus snake venom regarding diverse characteristics, emphasizing the most appropriate therapeutic approach for these cases. Recent studies have been carried out searching for complementary therapies for the treatment of ophidic accidents, including the use of lipoic acid, simvastatin and allopurinol. Some plants, such as Apocynaceae, Lamiaceae and Rubiaceae seem to have a beneficial role in the treatment of this type of envenomation. Future studies will certainly find new therapeutic measures for ophidic accidents.
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Currently, the quality of the Indonesian national road network is inadequate due to several constraints, including overcapacity and overloaded trucks. The high deterioration rate of the road infrastructure in developing countries along with major budgetary restrictions and high growth in traffic have led to an emerging need for improving the performance of the highway maintenance system. However, the high number of intervening factors and their complex effects require advanced tools to successfully solve this problem. The high learning capabilities of Data Mining (DM) are a powerful solution to this problem. In the past, these tools have been successfully applied to solve complex and multi-dimensional problems in various scientific fields. Therefore, it is expected that DM can be used to analyze the large amount of data regarding the pavement and traffic, identify the relationship between variables, and provide information regarding the prediction of the data. In this paper, we present a new approach to predict the International Roughness Index (IRI) of pavement based on DM techniques. DM was used to analyze the initial IRI data, including age, Equivalent Single Axle Load (ESAL), crack, potholes, rutting, and long cracks. This model was developed and verified using data from an Integrated Indonesia Road Management System (IIRMS) that was measured with the National Association of Australian State Road Authorities (NAASRA) roughness meter. The results of the proposed approach are compared with the IIRMS analytical model adapted to the IRI, and the advantages of the new approach are highlighted. We show that the novel data-driven model is able to learn (with high accuracy) the complex relationships between the IRI and the contributing factors of overloaded trucks
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Tese de Doutoramento em Estudos da Criança - Especialidade Comunicação Visual e Expressão Plástica
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Relatório de atividade profissional de mestrado em Direito dos Contratos e da Empresa
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Reliable estimates of heavy-truck volumes are important in a number of transportation applications. Estimates of truck volumes are necessary for pavement design and pavement management. Truck volumes are important in traffic safety. The number of trucks on the road also influences roadway capacity and traffic operations. Additionally, heavy vehicles pollute at higher rates than passenger vehicles. Consequently, reliable estimates of heavy-truck vehicle miles traveled (VMT) are important in creating accurate inventories of on-road emissions. This research evaluated three different methods to calculate heavy-truck annual average daily traffic (AADT) which can subsequently be used to estimate vehicle miles traveled (VMT). Traffic data from continuous count stations provided by the Iowa DOT were used to estimate AADT for two different truck groups (single-unit and multi-unit) using the three methods. The first method developed monthly and daily expansion factors for each truck group. The second and third methods created general expansion factors for all vehicles. Accuracy of the three methods was compared using n-fold cross-validation. In n-fold cross-validation, data are split into n partitions, and data from the nth partition are used to validate the remaining data. A comparison of the accuracy of the three methods was made using the estimates of prediction error obtained from cross-validation. The prediction error was determined by averaging the squared error between the estimated AADT and the actual AADT. Overall, the prediction error was the lowest for the method that developed expansion factors separately for the different truck groups for both single- and multi-unit trucks. This indicates that use of expansion factors specific to heavy trucks results in better estimates of AADT, and, subsequently, VMT, than using aggregate expansion factors and applying a percentage of trucks. Monthly, daily, and weekly traffic patterns were also evaluated. Significant variation exists in the temporal and seasonal patterns of heavy trucks as compared to passenger vehicles. This suggests that the use of aggregate expansion factors fails to adequately describe truck travel patterns.