Speed-profile-based road segmentation for accident occurrence modelling for hilly terrains

Modelling the accident occurrences per unit length of the road requires segmentation of road stretch. In the case of hilly terrains, homogeneity-based approach results in extremely small sections thus creating a biased accident data. This result is due to the high variations in geometry along the length of the road stretch. Constant length sections do not consider the effect of road's characteristics, hence may lead to undesirable results. It is hypothesized that the speed profile of a vehicle moving in free-flow conditions is governed by the road geometry as well as the road side environment. In this paper, a new methodology based on speed profile of a test vehicle (passenger car) has been proposed for segmenting a road stretch passing through hilly terrain. Comparative analysis of the results obtained from the constant length segmentation approach and the proposed approach shows that the later approach is producing statistically better results. Relatively more parameters were found to be statistically significant in the model based on speed-profile-based segmentation. Grade length, which could be one of the major parameters in hilly terrains, was found to be statistically significant only in the model based on speed-profile-based segmentation.     

Victims of road accidents with serious injuries and dependence on some individual,climatic and infrastructure factors on federal highways in Brazil

Abstract

Road or urban traffic accidents in Brazil have a large presence in external causes of mortality. The main goal of this study is to discover significant factors in the incidence of accidents on Brazilian highways based on a database with information on each person injured on federal highways in Brazil reported by the Federal Highway Police. Some factors are considered in the study as cause of the accident, type of accident, stage of the day, weather condition, highway type, highway facility, age of the victim, gender of the victim and type of vehicle. From the obtained results of chi-square tests and logistic regression models, it was observed statistical dependence (p?<?0.05) of the occurrence of injured people with serious injuries and the factors cause of the accident, type of accident, day, highway type and vehicle type. Considering the dead victims, the covariates age, time of day, highway type, highway facility, gender and type of vehicle showed significance (p?<?0.05). These results are of great interest for authorities to increase road enforcement, improve highway facilities and target the production of vehicles with better safety standards.     

The impact of traffic sign deficit on road traffic accidents in Nigeria

This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137 federal highways, stratified random sampling was used to select six categories of commercial vehicle drivers. The study used qual-dominant mixed methods approach comprising key informant interviews; group interviews; field observation; policy appraisal and secondary literature on traffic signs. Result shows that the failure of government to provide and maintain traffic signs in order to guide road users through the numerous accident black spots on the highways is the major cause of road accidents in Nigeria. The study argues that provision and maintenance of traffic signs present opportunity to promoting safety on the highways and achieving the sustainable development goals.     

Factors associated with urban non-fatal road-accident severity

This paper reports on the factors associated with non-fatal urban-road accident severity. Data on accidents were gathered from the local traffic police in the City of Palermo, one of the six most populated cities in Italy.

Findings from a mixed-effects logistic-regression model suggest that accident severity increases when two young drivers are involved, road traffic conditions are light/normal and when vehicles crash on a two-way road or carriageway. Speeding is more likely to cause slight or serious injury even when compared to a vehicle moving towards the opposite direction of traffic. An accident during the summer is more likely to result in a slight or serious injury than an accident during the winter, which is in line with evidence from Southern Europe and the Middle East.

Finally, the severity of non-fatal accident injuries in an urban area of Southern Europe was significantly associated with speeding, the age of the driver and seasonality.     

List of Reviewers 2013

Motor vehicle accidents are the leading cause of death in adolescents and young adults worldwide. Nearly three-quarters of road deaths occur in developing countries and men comprise a mean 80% of casualties. The rate of road traffic accidents caused by four-wheeled vehicles is the highest globally reported road traffic accidents statistic. In Saudi Arabia, the motor vehicle is the main means of transportation with one person killed and four injured every hour. Over 65% of accidents occur because of vehicles travelling at excess speed and/or drivers disobeying traffic signals. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. Strategic prevention plans should be implemented soon by various sectors (health, police, transport, and education) to decrease the mortality and morbidity among adolescent and young age group. Strong and effective coordination between ministry of health and other ministries together with World Health Organization and other related organisations will be an important step towards implementing the international Decade of Action for Road Safety (2011–2020). The aim of this review article is to highlight some aspects of the health impacts of road traffic accidents.     

Safety at play: let's all help to prevent drowning

The association between place of residence, population density, relief and type of event (collision or non-collision of the vehicle) has not been evaluated in developing countries. The main objective of this study is to determine the differential factors associated with the occurrence of deaths of collision and non-collision automobile users in Patagonia, Argentina. A multiple logistic regression analysis was performed using as the dependent variable death by car accident (collision or non-collision of the vehicle) and sex, age, place of residence of the victim, relief and population density as the independent variables. Collision fatalities were related to areas of high population density, while non-collision fatalities were related to areas of low population density, mountainous landscape and place of residence of the victims outside the Patagonian region. The results obtained in this study indicate the need to develop differential primary prevention policies by place of residence of car occupants, focusing on Patagonia non-resident drivers and by emphasising non-collision accidents.     

Prevalence and predictors of bicycle helmet use in a southeastern,US city

Fatalities and head injuries from bicycle-related crashes remain a concern in the United States. Despite legislation in many states, helmet use remains low. This observational study examined the helmet use and related factors in a North Carolina city. The sample consisted of 2088 observations of bicyclists. The objectives were to (1) determine helmet use; (2) describe other safe bicycling practices; and (3) examine the relationship of demographic variables and safe riding practices with helmet use. Helmet use was observed for 25% of the sample. Demographic factors related to helmet use were being female (OR = 1.32), 26 years old or older (OR = 4.94), and White (OR = 2.17). Bicyclists riding on the road with traffic were more likely to wear a helmet than bicyclists riding on the sidewalk (OR = 2.04). Findings indicate that helmet use remains low in the city. Research to monitor, better understand, and promote helmet use is needed.     

道路交通弱势群体中非机动车驾乘人员的保护研究

随着道路交通运输事业的发展,交通事故已成为威胁人民生命财产安全的社会公害。尤其是行人和非机动车驾乘人员,他们是交通事故的弱者,更容易受到伤害,属于道路交通事故中的弱势群体。每一个道路的使用者都应该有平等的使用权利,对于这样的弱势群体,我们应该给予特别的关注。本文通过对近几年交通事故中非机动车事故的调查统计,以及具体事故数据采集与分析,从各个方面分析了事故特征及事故现状,提出了几点具体的事故预防办法以及我国对交通事故中行人与非机动车保护技术与措施。     

Effect of driver,roadway, collision,and vehicle characteristics on crash severity: a conditional logistic regression approach

The aim of the study is to examine the factors that appear to have a higher potential for serious injury or death of drivers in traffic accidents in Turkey, such as collision type, roadway surface, vehicle speed, alcohol/drug use, and restraint use. Driver crash severity is the dependent variable of this study with two categories, fatal and non-fatal. Due to the binary nature of the dependent variable, a conditional logistic regression analysis was found suitable. Of the 16 independent variables obtained from Turkish police accident reports, 11 variables were found most significantly associated with driver crash severity. They are age, education level, restraint use, roadway condition, roadway type, time of day, collision location, collision type, number and direction of vehicles, vehicle speed, and alcohol/drug use. This study found that belted drivers aged 18–25 years involving two vehicles travelling in the same direction, in an urban area, during the daytime, and on an avenue or a street have better chances of survival in traffic accidents.     

Modelling risk factors for fatal pedestrian crashes in Kolkata,India

Abstract

In developing countries, pedestrian safety is an issue of major concern. Although an extensive body of literature is available on the identification of elements related to the pedestrian’s risk; the studies are primarily conducted in urban areas of developed countries. The findings from these studies may only be partially relevant to the cities of an emerging country such as India. The present study analyzes historical crash records obtained from the “Kolkata Police” and identifies the risk factors at the road network level for the hazardous corridors posing a high risk to the pedestrians. The study findings reveal that pedestrians’ fatalities at intersections are associated with a high vehicular volume, higher pedestrian-vehicular interaction, high approach speed, overtaking tendency of vehicles, certain land-use type, encroachment of footpath, inadequate sight distance, inaccessible pedestrian crosswalk, wider minor carriageway, the absence of a pedestrian signal head, and lack of enforcement. On the other hand, the models outcomes reveal that pedestrians’ fatalities at midblock road segments are associated with low pedestrian volume, high approach speed, overtaking tendency of the vehicle, encroachment of footpath, on-street parking, wider road width, certain land-use type, inadequate sight distance, insufficient lighting, and inadequate pavement markings.     

A review of traffic safety status in Abu Dhabi city,UAE (2008–2013)

Large numbers of traffic accidents were experienced on the road networks of Arab Gulf Countries including United Arab Emirates (UAE). This had resulted in enormous loss of lives and economy. This article through using Abu Dhabi city, UAE capital as a case study is aiming to understand the reasons behind such safety problem through analysing a large accidents data-set extending over the period from 2008 to 2013. The traffic accidents data-set was obtained from Abu Dhabi traffic police department records and covers wide range of accident's attributes. A wide spectrum of accident attributes was analysed in the paper including but not limited to the time of accident, accident location, type of accident, reasons behind the accident, driver characteristics, road conditions, and many other accident attributes. A specific reasoning for each of these attributes was given by authors. Furthermore, recommendations to enhance the safety levels were introduced.     

Social inequalities in injury risk in Wales,U.K.

Road traffic accident data in Nigeria generally lack exact coordinate information. Accident analysis is, therefore, restricted to aggregate data on trends, magnitude and temporal dimensions. This article addresses the road accident problem in Jos between 1995 and 1999 through a road profiling approach. Results show that four gateway routes, seven multilane roadways (including two gateway routes) and seven road intersections accounted for 84% of all traffic accidents, 84% of injured casualties and 88% of fatalities. This approach allows for quantification of impacts of controlling for accidents by deliberate profiling of roads for close monitoring and policing. For example, reducing accident counts and fatalities by 50% each on gateway routes will amount to ～35 and 40% reduction in accident and fatality counts, respectively. Countermeasures must consider these roadways and intersections as important inputs in their accidents and casualty reduction targets.     

Accidental injuries among the elderly within the Vienna community: Epidemiology,risk factors and preventive measures

Abstract

Unintentional injuries ('accidents’) among elderly people are a significant burden in public health because such accidents happen frequently and because the proportion of older age groups in the population will continue to rise during the coming decades. One aim of this study, which was done in Vienna, the capital of Austria, was to broaden the preventive concept, adding lifestyle and living conditions to already well-known risk factors following the health promotion approach. Furthermore, characteristics that predispose older residents to accidents should be identified in order to design preventive measures for reducing injuries in this age group.

809 interviews with people 60 years of age and over were conducted, concerning accidents, outcomes of accidents, physical fitness, drug intake, type of house or dwelling, equipment in the household incorporating safety features, psychological well-being and social relations. The information collected was used to draw cross-sectional comparisons between participants who reported having experienced at least one accident in the previous 12 months and those who did not. Furthermore, the accident incidents were classified into 2 groups: incidents without injuries and injurious accidents. The latter served as a base for the epidemiology of injuries for people 60 years of age and over within the Vienna community.

20% of all senior citizens suffer at least one unintentional injury every year, in addition to which 8% experience critical incidents (mostly falls) without injury. Most accidents occur at home or involve pedestrians in public traffic areas. Over 90% of all accidents are falls, and 20% result in fractures. The most important risk factors for accidents in the elderly are gender, increasing age, poor physical fitness and low physical activity, the type of household and household equipment, poor psychological well-being, low income and loneliness.

The findings regarding falls suggest some possible opportunities for reducing the risk of falls by improving buildings and dwellings of the elderly. A promising attempt at practical implementation of these findings is being conducted by the Vienna-based Austrian Institute for Home and Leisure Safety in cooperation with the Vienna City Council. These two organizations are implementing a long-term program that aims at mobilizing institutions and organizations involved in working with the elderly.     

Aggregated analysis of in-depth accident causation data

Data collected from in-depth road accident investigations are very informative and may contain more than 500 accident-related variables for a single investigated case. These data may be used to get a more detailed knowledge on accident and injury causation associated with a specific accident scenario. However, due to their complexity, studies using in-depth data at aggregated levels are not common. The objective of this paper is to propose a methodology to analyse aggregated accident causation charts in order to highlight strong and weak relationships between crash causes and pre-crash scenarios. These relationships can be taken into account when developing or assessing new road safety measures (e.g. in-vehicle systems). The methodology has been applied to an in-depth accident dataset derived from the European project SafetyNet. Four different pre-crash scenarios associated with the accident scenario ‘vehicles encountering something while remaining in their lane’ have been investigated. Even if generalization of these results should be done with care because of database representativeness issues, the methodology is promising, highlighting, for example, a well-defined causation pattern related to vehicles striking a vehicle in rear-end accidents.     

Determinants of severe injury and mortality from road traffic accidents among motorcycle and car users in Southern Thailand

Abstract

This study aimed to identify factors associated with severe injury and mortality from road traffic accidents (RTA) among motorcycle and car users in southern Thailand. The data were obtained from the Office of Disease Prevention and Control, Thailand, for years 2008–2013. Chi-squared tests were used to assess associations between determinants and outcomes and these associations were then estimated after adjusting for possible confounding with other factors using logistic regression. Severe injury and mortality contributed 11.6% and 5% to RTA of motorcycle users, and 14.3% and 7.5% for car users. Among motorcycle users, male gender, older age, and not wearing a helmet increased severe injury and mortality rates, whereas drivers had more severe injuries than passengers. Older car users had higher severe injury and mortality rates, whereas not fastening seat belts had higher mortality. Safety device use should be made mandatory for both drivers and passengers. Male motorcycle users and the elderly should be focused on.     

Geographic analysis of road accident severity index in Nigeria

Before 2030, deaths from road traffic accidents (RTAs) will surpass cerebrovascular disease, tuberculosis, and HIV/AIDS. Yet, there is little knowledge on the geographic distribution of RTA severity in Nigeria. Accident Severity Index is the proportion of deaths that result from a road accident. This study analysed the geographic pattern of RTA severity based on the data retrieved from Federal Road Safety Corps (FRSC). The study predicted a two-year data from a historic road accident data using exponential smoothing technique. To determine spatial autocorrelation, global and local indicators of spatial association were implemented in a geographic information system. Results show significant clusters of high RTA severity among states in the northeast and the northwest of Nigeria. Hence, the findings are discussed from two perspectives: Road traffic law compliance and poor emergency response. Conclusion, the severity of RTA is high in the northern states of Nigeria, hence, RTA remains a public health concern.     

Bayesian hierarchical statistics for traffic safety modelling and forecasting

Abstract

Road traffic accidents (RTAs) represent a serious problem globally causing losses in many ways. Gulf Cooperation Council (GCC) countries have a high rate of RTAs compared to other high-income countries. In this study, a Bayesian hierarchical model was utilized for accident counts forecasting in Abu Dhabi, United Arab Emirates. This work will help traffic planners and decision makers to enhance road safety levels and decrease accident fatality rate. Accidents data along 5 years from 2008 to 2012 at 143 road sites in Abu Dhabi with 5,511 accidents were used. The proposed model considered a number of covariates; speed limit, type of road, number of lanes, type of area, weather, time, surface condition and seat belt usage. Five sites with the highest numbers of accidents were studied. Year 2012 was used to validate predictions. The model prediction accuracy was 72%.