Detection of road accident accumulation zones with a visual analytics approach

Nowadays, road accidents are a major public health problem, which increase is forecasted if road safety is not treated properly, dying about 1.2 million people every year around the globe. In 2012, Portugal recorded 573 fatalities in road accidents, on site, revealing the largest decreasing of the European Union for 2011, along with Denmark. Beyond the impact caused by fatalities, it was calculated that the economic and social costs of road accidents weighted about 1.17% of the Portuguese gross domestic product in 2010. Visual Analytics allows the combination of data analysis techniques with interactive visualizations, which facilitates the process of knowledge discovery in sets of large and complex data, while the Geovisual Analytics facilitates the exploration of space-time data through maps with different variables and parameters that are under analysis. In Portugal, the identification of road accident accumulation zones, in this work named black spots, has been restricted to annual fixed windows. In this work, it is presented a dynamic approach based on Visual Analytics techniques that is able to identify the displacement of black spots on sliding windows of 12 months. Moreover, with the use of different parameterizations in the formula usually used to detect black spots, it is possible to identify zones that are almost becoming black spots. Through the proposed visualizations, the study and identification of countermeasures to this social and economic problem can gain new grounds and thus the decision- making process is supported and improved.

Safety classification using GIS in decision-making process to define priority road interventions

Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes.

Assessment of distinctive road runoff quality in coastal areas, based on a monitoring case study

High levels of marine salt deposition present in coastal areas have a relevant effect on road runoff characteristics. This study assesses this effect with the purpose of identifying the relationships between monitored water quality parameters and intrinsic site variables. To achieve this objective, an extensive monitoring program was conducted on a Portuguese coastal highway. The study included 30 rainfall events, in different weather, traffic, and salt deposition conditions. The evaluations of various water quality parameters were carried out in over 200 samples. In addition, the meteorological, hydrological, and traffic parameters were continuously measured. The salt deposition rates were determined by means of a wet candle device, which is an innovative feature of the monitoring program. The relation between road runoff pollutants and independent variables associated with weather, traffic, and salt deposition conditions was assessed. Significant correlations among pollutants were observed. A high salinity concentration and its influence on the road runoff were confirmed. Furthermore, the concentrations of the most relevant pollutants seemed to be very dependent on some meteorological variables, particularly the duration of the antecedent dry period prior to each rainfall event and the average wind speed.

Reducing unintentional injuries on the roads among children and young people under 25

Public Health England today launches 2 new resources for local authorities on preventing accidents to children and young people in the home and on the road. The reports show whilst the number of children and young people killed or seriously injured continues to fall in England there are still significant numbers of deaths and emergency admissions from preventable causes. On average each year between 2008 to 2012, 525 children and young people under 25 died and there were more than 53,700 admissions to hospital. The reports highlight actions local partners can take to reduce accidents including improving safety for children travelling to and from school and using existing services like health visitors and children’s centres. The Reducing unintentional injuries in and around the home among children under 5 Years and the Reducing unintentional injuries on the roads among children and young people under 25 reports include an analysis of data between 2008 to 2012. Key findings from the reports include: home injuries (under 5 years of age): an average of 62 children died each year between 2008 and 2012 these injuries result in an estimated 40,000 emergency hospital admissions among children of this age each year 5 injury types should be prioritised for the under-fives: choking; suffocation and strangulation; falls; poisoning; burns and scalds; and drowning hospital admission rate for unintentional injuries among the under-fives is 45% higher for children from the most deprived areas compared with children from the least deprived Road traffic injuries (under 25 years of age) there were 2,316 deaths recorded by the police among road users under the age of 25 years, an average of 463 under 25s each year there were 68,657 admissions to hospital as a result of road traffic injuries, an average of 13,731 each year in total there were 322,613 casualties of all severities recorded by the police, an average of 64,523 each year the rate of fatal and serious injuries for 10to 14 year olds was significantly greater for children from the 20% most deprived areas (37 per 100,000) compared with those from the most affluent areas (10 per 100,000)

Setilement of motor accidents claims with special reference to Kerala

The accident toll on our road traffic is staggering. Obviously this appalling toll of life and.health represents heavy economic loss in addition to human tragedy. the enormous increase in the number of motor vehicles with its rash, negligent and reckless use by unscrupulous, inexperienced and dangerous drivers in the most miserably managed roads coupled with concomitant hazards would draw our attention that Accident Prevention, and Accident compensation are thoroughly two compatiable aims. Proposed solutions to the traffic Problems abound. Preventive efforts concentrated on each of the variables the driver, the road and the vehicle are all being initiated. Still it is a Will the .Motor Vehicles are not considered as dangerous machines. Motoring activity is found useful.A competent and specially trained police force has to be created to deal with the traffic offences in a more scientific ways.The term ‘legal representative needs to be defined on the constructive aspects of relation and dependence.Services of legal aid and public counsels shall necessarily be extended to the poor Motor Accident victims.Timely reporting and timely investigation of Motor Accidents cases will reduce the number of fraudulent claims. There are instances where cases are taken in to investigation after several months of occurrence.It is hoped that the suggestions made above as a result of the present study, if pwgninto practice, may make a humble contribution to the prevention sssof motor accidents and to a faster and speedier settlement of motor accident compensation claims.

An analysis of traffic accidents and children: the case of Uruguay

This issue of the FAL Bulletin deals with road safe ty and its impact on children by examining data collected on road safe ty in the Eastern Republic of Uruguay by the Gonzalo Rodríguez Foundation wi thin the framework of its EDU-CAR Road Safety Plan for Children.

Road wanderers in Brazil: a study on modern psychosocial human mobility

Human mobility patterns are quite diverse nowadays and a very singular, extreme pattern is seen in the Brazilian scene: road wandering. Road wanderers are individuals who leave their home, family, work and other territories of a settled life and throw themselves into a life of solitary wandering along Brazilian highways. This study aimed to describe the lifestyle of road wanderers, investigate the reasons that led them choose this way of living and understand it against a background of modern human mobility patterns. A total of 63 interviews were conducted with individuals wandering on road shoulders. We found road wandering is associated with the following determinants: poverty; unemployment; marital conflicts; emotional suffering following the loss of loved ones; desires for adventure and freedom; and cultural symbols related to journey, migration, exodus and other modes of displacement. Despite its particularities, road wandering can be understood as a way of human mobility in the modern world.

Temporal variability of damage potential on roads as a conceptual contribution towards a short-term avalanche risk simulation

The fatality risk caused by avalanches on road networks can be analysed using a long-term approach, resulting in a mean value of risk, and with emphasis on short-term fluctuations due to the temporal variability of both, the hazard potential and the damage potential. In this study, the approach for analysing the long-term fatality risk has been adapted by modelling the highly variable short-term risk. The emphasis was on the temporal variability of the damage potential and the related risk peaks. For defined hazard scenarios resulting from classified amounts of snow accumulation, the fatality risk was calculated by modelling the hazard potential and observing the traffic volume. The avalanche occurrence probability was calculated using a statistical relationship between new snow height and observed avalanche releases. The number of persons at risk was determined from the recorded traffic density. The method resulted in a value for the fatality risk within the observed time frame for the studied road segment. The long-term fatality risk due to snow avalanches as well as the short-term fatality risk was compared to the average fatality risk due to traffic accidents. The application of the method had shown that the long-term avalanche risk is lower than the fatality risk due to traffic accidents. The analyses of short-term avalanche-induced fatality risk provided risk peaks that were 50 times higher than the statistical accident risk. Apart from situations with high hazard level and high traffic density, risk peaks result from both, a high hazard level combined with a low traffic density and a high traffic density combined with a low hazard level. This provided evidence for the importance of the temporal variability of the damage potential for risk simulations on road networks. The assumed dependence of the risk calculation on the sum of precipitation within three days is a simplified model. Thus, further research is needed for an improved determination of the diurnal avalanche probability. Nevertheless, the presented approach may contribute as a conceptual step towards a risk-based decision-making in risk management.

Bayesian model selection methodology for road safety

Road accidents are a very relevant issue in many countries and macroeconomic models are very frequently applied by academia and administrations to reduce their frequency and consequences. The selection of explanatory variables and response transformation parameter within the Bayesian framework for the selection of the set of explanatory variables a TIM and 3IM (two input and three input models) procedures are proposed. The procedure also uses the DIC and pseudo -R2 goodness of fit criteria. The model to which the methodology is applied is a dynamic regression model with Box-Cox transformation (BCT) for the explanatory variables and autorgressive (AR) structure for the response. The initial set of 22 explanatory variables are identified. The effects of these factors on the fatal accident frequency in Spain, during 2000-2012, are estimated. The dependent variable is constructed considering the stochastic trend component.

Bayesian model selection of structural explanatory models: Application to road accident data

Using the Bayesian approach as the model selection criteria, the main purpose in this study is to establish a practical road accident model that can provide a better interpretation and prediction performance. For this purpose we are using a structural explanatory model with autoregressive error term. The model estimation is carried out through Bayesian inference and the best model is selected based on the goodness of fit measures. To cross validate the model estimation further prediction analysis were done. As the road safety measures the number of fatal accidents in Spain, during 2000-2011 were employed. The results of the variable selection process show that the factors explaining fatal road accidents are mainly exposure, economic factors, and surveillance and legislative measures. The model selection shows that the impact of economic factors on fatal accidents during the period under study has been higher compared to surveillance and legislative measures.

Passenger vehicle median crossover and head-on collision with another passenger vehicle, Linden, New Jersey, May 1, 2003 /

"PB2006-916202."

The economic costs of road traffic crashes: Australia, states and territories

In this paper, we obtain detailed data on road traffic crash (RTC) casualties, by severity, for each of the eight state and territory jurisdictions for Australia and use these to estimate and compare the economic impact of RTCs across these regions. We show that the annual cost of RTCs in Australia, in 2003, was approximately $17b, which is approximately 2.3% of the Gross Domestic Product (GDP). Importantly, though, there is remarkable intra-national variation in the incident rates of RTCs in Australia and costs range from approximately 0.62 to 3.63% of Gross State Product (GSP). The paper makes two fundamental contributions: (i) it provides a detailed breakdown of estimated RTC casualties, by state and territory regions in Australia, and (ii) it presents the first sub-national breakdown of RTC costs for Australia. We trust that these contributions will assist policy-makers to understand sub-national variations in the road toll better and will encourage further research on the causes of the marked differences between RTC outcomes across the states and territories of Australia. (c) 2006 Elsevier Ltd. All rights reserved.

Characterization of the glial scar tissue in a murine model of spinal cord compression, with focus on hyaluronan

Spinal cord injury (SCI) is a devastating neurological disorder that affects thousands of people each year. Although in recent decades significant progress has been made in relation to understanding the molecular and cellular events underlying the nervous damage, spinal cord injury is still a highly disabling condition for which there is no curative therapy. People affected by spinal cord injuries manifested dysfunction or loss, temporary or permanent, of motor, sensory and / or autonomic functions depending on the spinal lesion damaged. Currently, the incidence rate of this type of injury is approximately 15-40 cases per million people worldwide. At the origin of these lesions are: road accidents, falls, interpersonal violence and the practice of sports. In this work we placed the hypothesis that HA is one of the component of the scar tissue formed after a compressive SCI, that it is likely synthetised by the perilesional glial cells and that it might support the permeation of the glial scar during the late phase of SCI. Nowadays, much focus is drawn on the recovery of CNS function, made impossible after SCI due to the high content of sulfated proteoglycans in the extracellular matrix. Counterbalancing the ratio between these proteoglycans and hyaluronic acid could be one of the experimental therapy to re-permeate the glial scar tissue formed after SCI, making possible axonal regrowth and functional recovery. Therefore, we established a model of spinal cord compression in mice and studied the glial scar tissue, particularly through the characterization of the expression of enzymes related to the metabolism of HA and the subsequent concentration thereof at different distances of the lesion epicenter. Our results show that the lesion induced in mice shows results similar to those produced in human lesions, in terms of histologic similarities and behavioral results. but these animals demonstrate an impressive spontaneous reorganization mechanism of the spinal cord tissue that occurs after injury and allows for partial recovery of the functions of the CNS. As regards the study of the glial scar, changes were recorded at the level of mRNA expression of enzymes metabolizing HA i.e., after injury there was a decreased expression of HA synthases 1-2 (HAS 1-2) and an increase of the expression HAS3 synthase mRNA, as well as the enzymes responsible for the HA catabolism, HYAL 1-2. But the amount of HA measured through the ELISA test was found unchanged after injury, it is not possible to explain this fact only with the change of expression of enzymes. At two weeks and in response to SCI, we found synthesized HA by reactive astrocytes and probably by others like microglial cells as it was advanced by the HA/GFAP+ and HA/IBA1+ cells co-location.

Relation between alcohol consumption and traffic violations and accidents in the region of Ribeirao Preto, Sao Paulo State

In recent years, alcohol consumption has been considered an important public health problem. Ethanol, the alcohol used in beverages, is a drug that affects the central nervous system (CNS) and impairs driving skills and co-ordination, increasing risk of deaths and injuries derived from crashes and road accidents. Consumption of alcoholic beverages is implicated with premature deaths, injuries and damages caused by motor vehicle crashes, which result in high costs to government and society. Considering that alcohol consumption is the main responsible factor for deaths and disabilities in young people, the aim of this work was to evaluate the prevalence of blood alcohol in offenders and/or fatal and non-fatal victims of traffic occurrences in the region of Ribeirao Preto, Sao Paulo State, from 2005 to 2007. The results revealed that in 2134 cases investigated, blood alcohol positivity was generally found in young adults, 25-45 years old and male. The study showed the high risk of drinking and driving and the importance in establishing actions of prevention and intervention to promote the reduction in the number of traffic occurrences related to consumption of alcoholic beverages. (C) 2010 Elsevier Ireland Ltd. All rights reserved.

Advances in neurotrauma in Australia 1970-2000

The management of neurotrauma in Australia has been one of the significant public health triumphs during the last 30 years of the 20th century. State and national government agencies act in a coordinated fashion to collect data and to promote research on how to manage neurotrauma patients. Between 1970 and 1995, fatalities from road accidents decreased by 47%. Hospital admissions have decreased by 40% despite a 40% increase in the population and a 120% increase in registered vehicles. Fatalities per 10,000 registered vehicles were 8.05% in 1970 and they fell to 1.84% per vehicles in 1995, while fatalities per 10;000 population were 3 in 1970 falling to 1.11 in 1995. Hospitalization from road crashes decreased 23% between March 1988 and March 1997. Public education has steadily improved, backed by the state public health sources. A uniform code of road safety laws has been adopted, backed by legislation and legal penalties and increasing police enforcement. Clinical care of patients has improved as a result of faster communications, tele-medicine, trauma systems, the CT scanner; intensive care units, and improved monitoring. Patient rehabilitation and counseling are now carried out at units accredited by the Australian Council on Health Care Standards.