In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.

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A survey was conducted during 2015 to monitor psychoactive substance use in a sample of drivers in Spanish roads and cities. Traffic police officers recruited drivers at sites carefully chosen to achieve representativeness of the driver population. A brief questionnaire included the date, time, and personal and driving patterns data. Alcohol use was ascertained through ethanol breath test at the roadside and considered positive if concentrations >0.05mg alcohol/L were detected. Four drug classes were assessed on-site through an oral fluid screening test that, if positive, was confirmed through a second oral fluid sample at a reference laboratory. Laboratory confirmation analyses screened for 26 psychoactive substances. To evaluate the association between drug findings and age, sex, road type (urban/interurban), and period of the week (weekdays, weeknights, weekend days, weekend nights), logistic regression analyses were done (overall, and separately for alcohol, cannabis and cocaine). A total of 2744 drivers, mean age of 37.5 years, 77.8% men, were included. Overall, 11.6% of the drivers had at least one positive finding to the substances assessed. Substances more frequently testing positive were cannabis (7.5%), cocaine (4.7%) and alcohol (2.6%). More than one substance was detected in 4% of the subjects. The proportion of positive results decreased with age, and was more likely among men and on urban roads. The pattern for alcohol use was similar but did not change with age and increased among drivers recruited at night. Cannabis was more likely to be detected at younger ages and cocaine was associated with night driving. Alcohol use before driving has decreased over the last decade; however, the consumption of other illegal drugs seems to have increased. The pattern of illegal psychoactive substance observed is similar to that declared in surveys of the general population of adults.

Background: Among traumatic injuries, spinal cord injuries (SCI) and traumatic brain injuries (TBI) are of major importance because of their epidemiological and economic impact on society. The overall objective of this study was to estimate the economic cost associated with people with SCI and TBI in Spain in 2007. Methods: A cost-of-illness analysis was performed, considering the perspective of society, using a 1-year time horizon. Medical costs, adaptation costs, material costs, administrative costs, and costs of police, firefighters and roadside assistance, productivity losses due to institutionalization and sick leave, as well as an estimate of productivity losses of carers, and productivity losses due to death were included. Results: The economic cost associated with people with SCI is between EUR 92,087,080.97 and 212,496,196.41 (USD 131 million and 302 million) according to the injury mechanism, and between EUR 1,079,223,688.66 and 3,833,752,692.78 (USD 1,536 million and 5,458 million) for people with TBI. Conclusions: There is an urgent need to develop effective interventions known to prevent SCI and TBI, and to evaluate their effectiveness and efficiency.

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