We assessed the influence of the neurological and cognitive impairments of Huntington's disease (HD) on automobile driving. In a group of 73 HD outpatients, 53 (72%) continued to drive after illness onset. Those no longer driving had more severe symptoms than those still driving. Twenty-nine HD patients who were still driving and 16 healthy control subjects underwent a clinical examination, a c...

Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of drivers’ drowsiness thus is of great importance to reduce drowsiness-caused accidents. This proposed research developed a real-time, nonintrusive driver drowsiness detection system by building biosensors on the automobile steering wheel and...

Traffic accidents are a leading cause of death in young adults. In Brazil, traffic accidents are proportionally more prevalent among motorcyclists as compared to automobile drivers. Although numerous data indicate that individual characteristics are involved in traffic accident risk, there is no instrument in Brazil to assess motorcyclists' traffic behavior. The authors thus proposed to perform...

s are given in alphabetical order by senior author; all papers are podium presentations unless noted otherwise. (1) BENEFIEL, Angela. "Forensic Anthropology and Automobile Accidents." (poster presentation) Automobile accidents account for a large number of fatalities each year in the United States. The application and practice of forensic anthropology to such fatalities is a valuable resource f...

epilepsy is one of the most prevalent serious neurologic conditions, affect 1 % of the population worldwide. people with epilepsy may feel it's safe to drive when their seizures seem to be under control, but patients with epilepsy were seven times more likely to have a driving accident leading to emergency room care than those without epilepsy. people with seizures had 2.3 times the rate o...

Data mining is a promising area for dealing with the increased, stored data that has been generated in our times .It is the extraction of implicit, previously unknown and useful data. In this paper we have analyzed some of the data mining techniques, tools, applications and search engines for accident investigation and traffic analysis. Most of the accident investigation methodologies are based...

Engineers and researchers in the automobile industry have tried to design and build safer automobiles, but traffic accidents are unavoidable. Patterns involved in dangerous crashes could be detected if we develop accurate prediction models capable of automatic classification of type of injury severity of various traffic accidents. These behavioral and roadway accident patterns can be useful to ...

1 Adams JE, Davis GG, Heidepriem RW, et al. Analysis of the incidence of pelvic trauma in fatal automobile accidents. Am J Foren Med Pathol 2002;23:132–6. 2 Schmal H, Markmiller M, Mehlhorn AT, et al. Epidemiology and outcome of complex pelvic injury. Acta Orthop Belg 2005;71:41–7. 3 Gurdjian ES. Cerebral contusions: re-evaluation of the mechanism of their development. J Trauma 1976;16:35–51. 4...

Count data sometimes exhibit a greater proportion of zero counts than is consistent with the data having been generated by a simple Poisson or negative binomial process. For example, a preponderance of zero counts have been observed in data that record the number of automobile accidents per driver, the number of criminal acts per person, the number of derogatory credit reports per person, the n...

In previous years industries faced a major problem in testing their final finished products especially in the field of automobiles; it reduces the efficiency of the vehicles when the parts are not tested efficiently. Yet the selection and rejection of this automobile part for the further implementation in automobiles is needed. To overcome this, industries started using mechanical instruments t...