Features of Fatal Truck Accidents Compared with Sedans

2021 ◽  
Vol 22 (4) ◽  
pp. 931-939
Author(s):  
Shoko Oikawa ◽  
Yasuhiro Matsui ◽  
Naoyuki Kubota ◽  
Shigeru Aomura ◽  
Kazuhiro Sorimachi ◽  
...  
Keyword(s):  
Author(s):  
Wael H. Awad ◽  
Bruce N. Janson

Three different modeling approaches were applied to explain truck accidents at interchanges in Washington State during a 27-month period. Three models were developed for each ramp type including linear regression, neural networks, and a hybrid system using fuzzy logic and neural networks. The study showed that linear regression was able to predict accident frequencies that fell within one standard deviation from the overall mean of the dependent variable. However, the coefficient of determination was very low in all cases. The other two artificial intelligence (AI) approaches showed a high level of performance in identifying different patterns of accidents in the training data and presented a better fit when compared to the regression model. However, the ability of these AI models to predict test data that were not included in the training process showed unsatisfactory results.


2017 ◽  
Vol 22 (5) ◽  
pp. 1927-1936
Author(s):  
Funda Ture Kibar ◽  
Fazil Celik ◽  
Bengi P. Aytac

Author(s):  
Christopher Ull ◽  
Hans Ehlers ◽  
Emre Yilmaz ◽  
Sebastian Lotzien ◽  
Thomas A. Schildhauer ◽  
...  

Abstract Introduction The use of forklift trucks during work has a high accident potential. The aim of this study is to describe injury patterns, treatment and outcome after forklift truck accidents in the context of the employersʼ liability insurance association. Methods Retrospective data collection of all cases between 2004 and 2019. Excluded were patients < 18 years, without follow-up or with definitive external treatment. Trauma mechanism, injury patterns and distribution, treatment, complications, time of incapacity for work, return to work and impairment of earning capacity were recorded. Results Of 109 patients with 110 injuries, 52.7% showed isolated injuries and 47.3% combined injuries, which affected the lower extremity in 95 cases. There were fractures in 85.5%, including 32.7% in open form. The mean length of stay was 29.1 days (range 1 – 129); an indication for surgery was seen in 80.9%. Surgical treatment required an average of 3 interventions, with significantly more operations for soft tissue closure than for the fractures (p ≤ 0.023). Amputations were necessary in 8 cases; complications occurred in 29.1%. Return to work was possible in 90%, after a mean period of incapacity for work of 33.6 weeks. A total of 40% showed a pensionable impairment of earning capacity. Conclusion Accidents with forklift trucks result in complex lower extremities injuries with the need of multi-stage treatment and show relatively high complication rates. A return to work is often possible after a long period of convalescence, and a pensionable impairment of earning capacity often persists.


Author(s):  
Benjamin Blair ◽  
John Hughes ◽  
William Allshouse ◽  
Lisa McKenzie ◽  
John Adgate

Unconventional and conventional oil and gas (O&G) operations raise public health concerns, such as the potential impacts from trucking activity in communities that host these operations. In this work, we used two approaches to evaluate accidents in relation to O&G activities in the State of Colorado. First, we calculated the rate of truck accidents by computing the ratio of accident count and county population. When comparing counties with increased O&G operations to counties with less activity, we found that counties with more activity have greater rates of truck traffic accidents per capita (Rate Ratio = 1.07, p < 0.05, 95% CI: 1.01–1.13). Second, we laid a grid over the eleven counties of interest and counted, for each cell, the number of truck accidents, the number of multivehicle accidents with injuries, the number of homes, and the number of O&G wells. We then applied hurdle count models, using the accident counts as the outcomes and the number of homes and number of wells as independent variables. We found that both independent variables are significant predictors of truck accidents and multivehicle truck accidents. These accidents are of concern since they can have an impact on the people who live near O&G operations.


Author(s):  
Ben T. Railsback ◽  
Richard M. Ziernicki

Past studies have indicated that the greatest risk that a forklift operator faces is the hazard of an overturning forklift crushing the operator. This conclusion has been developed largely based on accident experience with sit-down forklifts. In contrast, this paper examines a data set of approximately 3,000 stand-up lift truck accidents (rather than sit-down forklifts) and finds that the operator of a stand-up lift truck is at greater risk of being involved in a collision with a stationary object than at risk for an accident involving the stability of the forklift. Greater than 50% of the approximately 3,000 accidents studied involved a collision between a stand-up forklift and a stationary object, resulting in approximately 700 serious injuries and 22 deaths of stand-up forklift operators. This paper will also identify the hazards associated with the use of stand-up lift trucks and the statistical likelihood of the hazard based on the approximately 3,000 accident data set.


1986 ◽  
Vol 13 (4) ◽  
pp. 412-422 ◽  
Author(s):  
Francis P. D. Navin

The most frequently cited cause of truck accidents is “speed too fast for prevailing conditions.” To cite this cause, a speed estimate is necessary. This paper shows the factors that should be considered. The factors most useful in estimating a truck's braking capability include vehicle configuration, loading, location of the centre of mass, and axles with brakes. The exact value of some of the variables is difficult to obtain.The formulation proposed in this paper builds on a simple and effective procedure used by police agencies to estimate speed from skid marks. The formula given by R. Rivers' “Traffic accident investigator's handbook” is formalized and the elements in his correction factor N are derived. Basic equations for the braking of straight trucks and combinations are derived. The difficulty of implementing the equations in practice for all but the simplest situation is obvious from the complexity of the equations. A lumping of all the parameters into a simplified form is developed based on truck stopping distances obtained from published experimental data. All the trucks in the data had well-adjusted brakes. The final equation to estimate speed from a truck's skid marks accounts for the average ability of such vehicles to stop as well as the variance in stopping ability. Key words: truck braking, braking efficiency, stopping sight distance, skid marks.


2007 ◽  
Vol 32 (3) ◽  
pp. 34-38
Author(s):  
Jenny O’Neill

In partial response to two fatal utility truck accidents involving local school students, the School Focused Youth Service Coordinator and the Student Welfare Coordinator decided to form a boys’ reference group to find out if the school was meeting the boys’ health and well-being information needs. This resulted in 20 young men discussing and deciding on how they would find out the information, then developing a survey and distributing it to 113 boys. A wealth of information was gained from the completed surveys from young men in Years 8, 9 and 10 on what their information priorities were and how they would like the information delivered.


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