Accident Data Collection Research Articles

ANALISIS KESEHATAN DAN KESELAMATAN KERJA BAGIAN PRODUKSI ROTI DENGAN MENGGUNAKAN METODE HAZARD AND OPERABILITY Studi Kasus : UMKM LAZIZA BAKERY & CAKE

UMKM Laziza Bakery & Cake is a company that produces various types of bread. Based on work accident data collection in this study, the company was faced with several problems in the production department, one of which was that the hands were exposed to heat from the oven. This happens due to several factors, including human factors and machine factors. the design of recommendations or proposed improvements is made based on the hazard (potential hazard) that occurs. The Hazard And Operability method aims to overcome this problem, with the hope that it can reduce the risk of work accidents at the UMKM Laziza Bakery & Cake. We can see that the hazard sources for the production machine category from the 6 production machines used have a medium risk level of 4 on mixer machines, mixing machines, packing machines, and cutting machines. For hazard sources for facility design, there are 2 factors that have a medium risk level, namely PPE posters and equipment arrangement. Then for the source of hazard the attitude of workers has a risk level extreme with the category of potential hazards caused by potential hazards (hazard) extreme risk and worksheets in the use of PPE in the work area so that workers can immediately read what are the potential hazards they will experience if not using PPE

Analysis and Providing Solutions for the Rectification of Black Spots On NH-27(OLD NH-28)

Abstract: This study primarily based totally on the road safety and specified observe of black spot. National highways represent a considerable percentage of these accidents, especially during the massive economic loss and exaggerates the development of the country. Basically the main aim of this paper is to Identify the black spot and more elaborated study for Analysis of Black Spots and its Rectification on the basis of traffic survey i.e. by Turning Movement Count survey. This study includes different approaches and methods that are used for Selection of particular study stretch i.e. NH-27, firstly collection of accident data and then we split down the data for better observation for the analysis of black spot also we throw light on the causes which are responsible for accident on the basis of ASI (Accident severity index). Also, it consists of a few strategies which might be used to profile those accident places and the usage of earlier than and after research to estimate the impact of remedy at the Black spots or dark spot on highway. This paper concludes the rectification methodology based on short term measurements, long term measurements, mitigation measures or geometric design improvement which depend on existing road conditions

Reconstruction of a real-world car-to-pedestrian collision using geomatics techniques and numerical simulations

The aim of this study is to provide an improved method for traffic accident reconstruction based on geomatics techniques and numerical simulations. A combination of various techniques was used. First, an unmanned aerial vehicle (UAV), laser scanner and structured-light scanner were used to obtain information on the accident scene, vehicle and victim. The collected traces provided detailed initial impact conditions for subsequent numerical simulations. Then, multi-body system (MBS) simulations were conducted to reconstruct the kinematics of the car-to-pedestrian collision. Finally, a finite element (FE) simulation using the THUMS model was performed to predict injuries. A real-life vehicle-pedestrian collision was used to verify the feasibility and effectiveness of this method. The reconstruction result revealed that the kinematic and injury predictions of the numerical simulations effectively conformed to the surveillance video and investigation of the actual accident. UAV photogrammetry was demonstrated to be more efficient in accident data collection than hand sketch and measurement, and 3D laser scanning enabled an easier and more accurate modeling process of vehicle. The present study shows the feasibility of this method for use in traffic accident reconstruction.

Developing Novel Registration of Road Traffic Accidents

The paper reviews the road traffic accident registration form and discusses existing practices carried out in Uzbekistan. The popularity of mobile phones/tablets and internet technologies in daily use and their increasing power in terms of speed and memory could assist efficiency and accuracy in the road traffic accident data collection. The authors review up-to-date mobile/internet technologies for the road accident data registration and propose a novel approach that covers various data sources including police data, hospital data, road department data, insurance company data, transport company data and social media data. The proposed approach integrates all the data into a single system (database), which can be used for public audit and research purposes.

Tram to Pedestrian Collisions—Priorities and Potentials

To improve mobility in cities in line with environmental goals, in urban traffic, trams represent an increasingly important means of transport. Due to the close interaction with other road users, this makes collisions with trams fairly frequent. This study has investigated accidents between trams and vulnerable road users resulting in personal injury, aimed at identifying priorities for simulating collisions between trams and pedestrians to assess passive safety measures. Tram accident data collection established throughout Europe from multiple sources and with varying degree of details, have been combined and analysed. These analyses comprise risk assessments per km-driven and general tram accident partner and site type evaluations, with more detailed analyses on accident site distance to the closest tram stop and injured body regions, respectively. In total, 7,535 tram-pedestrian accident resulting in 8,802 pedestrian injuries, collected in the year 2000–2021, was analysed. Accident risk ranges from 0.934 accidents per number of tram (million) km-driven, for slight injuries to 0.063 for fatal injuries. Pedestrians represent a large proportion of tram accident collision partners, especially for severe and fatal accidents. In accidents between trams and pedestrians, 3% of reported injuries are fatal, 23% severe and 74% minor. Generally, low-speed accidents close to tram stops often leading to minor injuries were observed to be of significant importance (<20m to the GPS location of a stop). Analysis of accidents was done bases on gender of the pedestrian showing overall similar involvements in accident with slight difference for various age groups and sites. Regardless of injury severity, the most frequently injured body region in accidents involving a tram is the head. Likewise, injuries sustained to the thorax, especially for higher injury severities are of high relevance, followed by injuries to the lower extremities. Based on this study, recommendations for developing reasonable tram-pedestrian accident scenarios for virtual testing can be derived for further optimisation of pedestrian safety of trams.

Identification and Mitigation of Blackspots and Implementation of An Advanced Traffic Management System on NH-216A (A Spur of National Highway-16)

Abstract: As the population is increasing day by day the number of vehicles is also increasing. As the number of vehicles is increasing, the number of accidents also increases. Analysis of previous data indicates that 66% of the accidents occur due to human error and 33% due to road parameters such as road and vehicle interaction, other road users, and environmental factors. Road safety has recently become a major concern in most modern societies. The identification of sites (black spots) that are more dangerous from an accident point of view can help in better scheduling road safety policies. The study includes the collection of accident data and prioritizing the accident-prone locations by using the Weighted Severity Index (WSI) method. This study includes the identification of Accidental Black Spots and improving these Accidental Black Spots by using ATMS. This project emphasizes accident studies on the National Highway-216A (Diwancheruvu to Siddantham) in East Godavari District, State of Andhra Pradesh, India. So the main aim of this study is, therefore, to identify the major accident black spots on National Highway -16 and mitigation of Accidental Black Spots by using Advanced Traffic Management System. Keywords: Accident, National Highway, Black Spots, Advanced Traffic Management System (ATMS), Weighted Severity Index (WSI).

Road Accident Data Collection Systems in Developing and Developed Countries: A Review

Over time, the rate of road accidents is increasing day by day. Eventhough with various advancements, the developing countries are still struggling to eliminate this issue. One such possible solution could be adopting the advanced automated tools for the road accident data collection systems, based on which the policymakers can adopt the necessary strategies to avoid the accidents. In this manner, a review has been conducted where a comparison of road accident data collection systems was made between developing and the developed countries. It was observed that to establish a standardized system for road accident prevention, records from prior accidents play a key role in the evaluation and prediction of the accident, damage, and consequences. Moreover, the manual and digital approaches of data collection were highlighted, which revealed that digital approaches are reliable and time saving for data gathering and its compilation. This comparison is beneficial in terms of future developments in developing countries and the developed countries can act as a role model and their strategies can be implemented to reduce the accidents.

Linear Regression Analysis on the Contributory Factor of Accident Identified in Road Safety Audit Using Python

The rising number of road accidents in Indian Scenario is quite alarming. The analysis of cause of these accidents will help to adopt remedial measures for the same. In this paper based on the data collected using Road Safety Audit (RSA), an attempt is made to analyze and understand the root cause for accident. The linear equation and relationship is developed using Python programming which is a competent tool for analysis. In this paper, the analysis is carried out on data collected along a stretch of 12 km of length of road from Langerhouz (suburban Road) to MGIT. RSA was conducted for the same stretch that has six intersections falling along the stretch. The basic methodology used for data collections were Prompt list, volume and accident data collection. The accident data were analyzed statistically and a linear regression model was generated with various causes of the accident as the independent variable. For the purpose of analysis, the stretch was divided into four sub stretch based on the similarities in the geometric properties of the road. RSA was also performed for the six intersections falling in this stretch. The data collected on accident has reflected on a number of contributory factorsfrom which the main causative factors were identified and recommendations were made to improve safety with the best possible solutions. Regression analysis was conducted for the accident data obtained from the police station for the years 2014 – 2018. The solution of the regression equation is developed using Python programming language. The relation to dependent variable, accident was formulated linearly using the independent variable based on the factors contributing to accident.

Legal analysis of implementation of the traffic accident monitoring system

Purpose. The study aims to establish positive changes after the introduction of traffic accident monitoring systems implemented by government agencies in China, India, Germany, the United States, the United Kingdom, Finland, Beijing and Sweden. Methods. The research was carried out in stages, based on the logical presentation of the material. The following methods were implemented in the study: direct observation, comparison and analysis of the content and the form of advanced traffic accident monitoring systems. Results. The study of international best practices and experiments about the implementation of various options for traffic accident monitoring systems gave preference to an intelligent system. A study conducted in the United States, India and Portugal shows the effectiveness of different approaches to use mobile applications on smartphones to transmit reliable information to the traffic accident registration system. Accident data collection should be standardized and structured, and police officers should benefit from the statistical reports they complete for each traffic accident.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

ROAD SAFETY: A MAJOR PUBLIC HEALTH ISSUE

ROAD SAFETY: A MAJOR PUBLIC HEALTH ISSUE

Research on human factors cause chain of ship accidents based on multidimensional association rules

In order to probe the mechanism of human causation factors in ship navigation accidents effectively, the Reason-SHEL model was introduced to establish human causation factors index system meanwhile the multidimensional association rule algorithm was applied to obtain the chains of human causation factors. Firstly, the human factors index system is constructed based on the Reason-SHEL model. Secondly, the established human factors index system is used to analysis the cause of the accidents, and the initial accident data collection is obtained. The Reason model combined with classical association rules algorithm to design multidimensional association rule algorithm, then the designed algorithm and C# programming language is used to mine accident frequent itemsets of human factors until the larger frequent itemset can't be found. Then we get the human factors cause chain of ship accidents. The case study shows that the above research method is effective. The above research methods provide new theoretical and technical means for excavating the cause chain of ship accidents and preventing ship traffic accidents.

Contributing Factors of Traffic Accident and Their Possible Countermeasures in Debre Berhan Town, Ethiopia

Transportation is responsible for the development of civilizations from very old times. However road traffic accident is in a state of rise and recognized as a major socio-economic concern facing Ethiopia as the country. So, this study was conducted with an objective of assessing the traffic safety issue of Debre Berhan town on main highway which serves for the town and cross country traffic. The study followed a methodology of visual investigation of traffic accident location; and speed, traffic volume and traffic accident data collection. According to the data analysis, traffic accident in Debre Berhan was in increasing trend year to year with major accident characteristics of overturning followed by pedestrian accident. In addition, the primary causes of traffic accident in the town are investigated as speeding followed by failure to give way for pedestrian. Minibus and medium bus were responsible for more than 50% of all traffic accident recorded from all categories of vehicles. Around 50% of traffic accidents were contributed from age group of 18 – 30 years that need a primary concern; and the rates of accident on farmers are in alarming rate respect to other victims. Finally, appropriate engineering measures, police enforcement, training and education are recommended to solve the safety problems of the town. The main engineering measures for different location proposed include painted rumple strip to alarm the driver; speed limit sign provision; alternative pedestrian route; restrict parking on some locations that narrow the road and restrict passing; and others. The police enforcement may include on controlling of speeding and assuring the effectiveness of traffic law. A focus on training for young drivers seeking driving license was another recommendation in reduction of traffic accident. In addition, traffic safety education is recommended for students, public workers and farmers for significant reduction of traffic accident.

WORK-RELATED ACCIDENTS REFERRED TO INDUSTRIAL MEDICAL CENTER, KUWAIT, FROM 2015 TO 2017

Introduction: Occupational accidents comprise an important health and economic burden for societies around the world especially developing countries. There are variety of factors that determine the frequency of accidents at work. Aim of work: This study aim to obtain an overall view of non-fatal occupational injuries through analyzing injury causes, types and mechanism of accidents and to propose forms of accident data collection, investigations, safety records and accident results to be followed in Shuaiba Industrial Medical Center. Materials and Methods: A record based retrospective descriptive study was conducted on non-fatal occupational-related injuries in Al Shuaiba Industrial Medical Center in Kuwait. The study included 1304 reported non-fatal occupational injuries referred to Al Shuaiba Industrial Medical Center from June 2015 to June 2017. Results: The reported injured workers were all males with mean age 35.2 ± 8.9, mainly laborers (76.7%), involved in different industrial work activities.The highest number of reported injuries came from the metal and machinery industries (44%), manufacture of wood, textile, glass, plastic and paper (23.8%), chemicals, oils and petrochemicals industries (10.2%). Upper extremities (44.1%) and eyes (26.8%) were the most frequently affected body parts injured. Sharp objects and machinery injuries (49.2%), being struck by heavy objects (32.9%), followed by falling from height (10.8%) were the commonest agent of injury. Over ninety percent of the reported injured workers (94.9%) had 4 days or more lost from work after the accident occurrence.Conclusion and Recommendations: Nonfatal occupational injuries in Shuaiba industrial area are mainly in manufacture sector. Implementation of appropriate health and safety practices, applying safety regulations at workplace are recommended.

Vehicle Accident Databases: Correctness Checks for Accident Kinematic Data

(1) Background: Data collection procedures allow to obtain harmonization of in-depth road accident databases. Plausibility of calculable accident-related kinematic parameters depends on the constraints imposed on calculation, making their uncertainty degree higher than the one for measurable parameters (i.e., traces, airbag activation, etc.). Uncertainty translates in information loss, making the statistics based on databases analysis less consistent. Since kinematic parameters describe the global accident dynamics, their correctness assessment has a fundamental importance; (2) Methods: the paper takes as reference data collected in the Initiative for the GLobal harmonisation of Accident Data (IGLAD) database for vehicle-to-vehicle crashes. The procedure, however, has general nature and applies identically for other databases and multiple impacts between vehicles. To highlight issues which can arise in accident-related data collection, 3 different checks are proposed for parameters correctness assessment; (3) Results: by 4 examples, 1 with correct and 3 with incorrect parameters reported, the paper demonstrates that errors can go beyond simple calculation uncertainty, implying that a deeper analysis is desirable in data collection; (4) Conclusions: the step-by-step guidelines described in this paper will help in increasing goodness of collected data, providing for a methodology which can be used by each individual involved in accident data collection, both for collection itself and subsequent verification analysis.

UAS Maintenance: A Critical Component in Maintaining Airworthiness

Over the last several decades, the notion of traditional aircraft design has significantly changed. While there are many modern aircraft that resemble earlier models, their components, systems, and overall architecture have evolved, including the introduction of small unmanned aircraft systems (sUAS). Despite the growing consumer attraction to own and operate these aircraft, the subsequent impact on safety is an area of intense concern. The requirement of an established maintenance program for manned aircraft is rooted in ensuring that all aircraft are deemed safe for flight. Preventive maintenance schedules are based on component reliability data, which minimizes unnecessary maintenance while preventing maintenance-related aircraft accidents. This same requirement has not been extended to small unmanned aircraft systems. Current regulations and requirements for sUAS maintenance refer only to maintaining airworthiness, with no specific scheduled or unscheduled maintenance practices required. As the demand for small unmanned aircraft systems continues to grow, the safety threat will rise. The requirement of formal maintenance practices, which are based on component reliability data, would fulfill this need. To further explore the possibility of an established maintenance program for sUAS operators, this paper reviews current maintenance requirements and proposes new accident data collection measures which contribute to the creation of a scheduled maintenance program. A formal certification process which follows a modified MSG-3 process is also proposed.

Macro Data Analysis of Traffic Accidents in Indonesia

This paper presents a macro data analysis of Indonesian road accidents in the form of statistical data. Traffic accidents and their subsequent fatalities bring enormous social and economic consequences. A good understanding of the problem is expected to initiate major action toward the improvement of road and vehicle safety. One important milestone is the collection and analysis of road accident data. The results from this study portray the ‘tangled threads’ problem of traffic in Indonesia. The population number and number of vehicles have increased steadily, as has been accurately predicted by experts. Meanwhile, there is not enough infrastructure growth. Motorcycles are the main contributor to traffic accidents and fatalities due to their popularity as an effective vehicle to jump traffic jams. The ‘tangled threads’ need an extremely creative and comprehensive solution.

Serious injuries in the traffic accident situation: definition, importance and orientation for countermeasures based on a representative sample of in-depth-accident-cases in Germany

ABSTRACTFor many years, there are three groups of injury severity used for describing traffic accident patterns, i.e. minor, severe and fatal. In 2015, the European Commission has committed to set a common EU target for the reduction of the number of seriously injured traffic participants by 2020. This leads to the need of new criteria of seriously injured casualties, for which MAIS 3+ is proposed.A study on a representative accident data collection GIDAS (German In-Depth Accident Study) was used to calculate the percentages of seriously injured casualties for different kinds of traffic participants based on a statistical random procedure and weighting process in relation to the German national statistics. All injuries (kind, location, AIS) and other accident parameter (deformation, speed, accident types) of the in-depth-accident-sample are documented by a scientific team. Accidents from the years 2009 to 2013 were evaluated for this study. 8,217 accidents with 15,955 participants and 20,083 injured persons of all kind of traffic participants were analysed, 2,000 were severely injured, of these 416 seriously MAIS 3+.The assumption of seriously injured persons except fatalities in traffic accidents for Germany based on GIDAS calculation can be stated as 21% of severe injured persons and as 4% of all injured traffic participants in Germany.The study describes one way to get information (numbers/percentages) of seriously injured casualties based on MAIS 3+ and based on real-world in-depth accident cases. The study gives proposals for countermeasures on further safety issues for avoiding severe injuries, distinguished for different kinds of traffic participants and shows injury characteristics for the help for protective tasks.

Contribution to Accident Prediction Models Development for Rural Two-Lane Roads in Serbia

Over the last three decades numerous research efforts have been conducted worldwide to determine the relationship between traffic accidents and traffic and road characteristics. So far, the mentioned studies have not been carried out in Serbia and in the region. This paper represents one of the first attempts to develop accident prediction models in Serbia. The paper provides a comprehensive literature review, describes procedures for collection and analysis of the traffic accident data, as well as the methodology used to develop the accident prediction models. The paper presents models obtained by both univariate and multivariate regression analyses. The obtained results are compared to the results of other studies and comparisons are discussed. Finally, the paper presents conclusions and important points for future research. The results of this research can find theoretical as well as practical application.

Safety and Operation of Tramways in Interaction with Public Space

The COST Action TU1103 “Operation and safety of tramways in interaction with public space” aimed at contributing to improve tramway safety through improving the management of data collection and the design of their insertion into urban space. The action has shown that across all the countries involved exists a great diversity of tramway systems and safety management mechanisms. Despite this diversity, we have been able to reach some conclusions about the nature of safety issues, the need for relevant information and the operator's essential role. This has enabled us to lay out some practical recommendations on accident data collection, indicators and their analysis. We have also observed a great variety regarding the urban insertion of tramway systems. Some countries pay special attention to protection, using barriers and fences as the general way of inserting the tramway. Other countries try to get a more integrated system, with an easier coexistence with pedestrians and cyclists in the city centre, but still guaranteeing the capacity and adequate speed of the tram when running through the metropolitan area. In any case, tramway systems deal with safety issues that are very similar in all countries, and the solutions and measures applied in some places can be useful for other networks facing similar problems or implementing a new line. This Project is funded by European Cooperation in Science and Technology (COST).