Academic literature on the topic 'Keywords Traffic accident'

Background: Road traffic accidents is growing continuously as a global burden and would be a leading cause of death in developing countries. The global burden of road traffic accidents continues to grow and promises to overtake tropical diseases as leading causes of death in the developing world. This study aimed to study the pattern and causes of road traffic accidents in Morang district.Methods: Record based descriptive cross-sectional study was used by reviewing all registered RTA cases of the District Traffic Police Office, Morang during fiscal year 2074/75 (Shrawan 2074 to Ashad 2075). 501 road traffic accident cases were found in the record and used for the study. The data was analysed using SPSS v 16 and presented in normal frequency tables and crosstables.Results: Out of 501 accidents 32.2% occurred Friday and Saturday. In the evening time, most of the accidents occurred. In highways, 53.5% of accident cases occurred. 82% of the accidents occurred in blacktop road. Two-wheelers are mostly involved in accident cases (77%). Negligence (55.7%) and over-speed (36.5%) were the major reasons for accidents. In 33% of cases, accidents occurred involving pedestrians and cyclists. 80% of the drivers are below 40 years; similarly 80% of the victims are also below 40 years. Among victims who died 84.1% were male and among injured 73.3% were males.Conclusions: Weekends, evening, highways and two wheelers are more accident prone time, place and vehicles respectively. Overspeed and negligence of driver tends to major cause of accidents and majority of victims are the young bike riders and pedestrians. Keywords: Burden; causes; road traffic accidents; pattern

The main factors affecting road safety are outlined. The main methods of road accident analysis are presented, which will allow accurate determination of areas of high danger. By distributing road traffic accidents along the length of the road, it is possible to identify such areas and areas where road conditions have a dominant influence on the emergence of accidents, which is important in planning measures to improve traffic safety. It is proved that the effectiveness of the result depends on the precisely defined areas where first of all it is necessary to implement measures to improve road safety. It is completely impossible to predict the occurrence of traffic accidents because many different factors influence them. These factors relate both to traffic conditions on the motorway and to the impact of the traffic flow itself, a separate vehicle, a human factor, weather conditions etc. Therefore, there is a need for a comprehensive approach in solving a complex problem is increasing road safety. The purpose of this article is to: reduce the number of accidents and their victims on the highways of Ukraine by means of the priority implementation of measures to improve road conditions and improve the organization of traffic on highway sections of high danger identified by the results of linear analysis of accidents. Linear accident analysis provides an opportunity not only to effectively and reasonably plan events, but also to evaluate the outcome of their implementation. Reducing the number of traffic accidents and their victims in highway sections of high danger identified by the results of linear accident analysis is the best method for creating safe traffic conditions. Purposeful financing of measures aimed primarily at eliminating the most dangerous in terms of accident rate of road sections and the main risk factors of an accident will allow to reduce the number of accidents and the severity of their consequences. Keywords: road safety, linear analysis, methods of analysis.

History Traffic in Indonesia can not be separated from the development of the world Automotive technology, which originated from the discovery of the engine with petroleum fuels. In the days of the Dutch East Indies government then ruled Indonesia started bringing vehicles wheel 4 and wheel 2 to Indonesia, causing traffic activity. And when the car and motorcycle multiply causing many problems - the problems of traffic, such as traffic violations and accidents. Given the above, of course of police duties particularly Traffic Police Unit increasingly severe, in the sense of Traffic Police Unit should continue to maintain and improve the technical capacity of the police in order to deal with problems like traffic violations and traffic accidents, in addition to the Police Unit Then Trails should be able to provide a breakthrough in order to increase awareness to the public about the correct procedures and safe traffic and police action to reduce the number of traffic accidents on the road.� For that to improve the professionalism and quality of work performed is necessary to standardize the work that will be used as working guidelines called the Standard Operation Procedure (SOP)Keywords: Standard Operating Procedure; Investigation; Traffice Accident.

Background: Road traffic accidents are the major public health problem. The objective of the study was to analyze road traffic accidents presenting in Kathmandu Medical College Emergency Department.Methods: The data from all consecutive road traffic accident cases brought to Emergency Department Kathmandu Medical College Teaching Hospital were collected from 2018 Jan-2018 June. Factors like age of the patients, time of the accident, influence of illicit substances and type of injury were documented.Results: Males (74) were common victims than the females (26). Eldest patient was 65 years of the age while youngest patient was 4 years. Most common type of injury was fracture in male 28 (37%)and laceration in females8 (38%). Alcohol intoxication was evident by positive alcohol smell test in 10 (13.6%) males and 6(23%) females. Conclusions: Road traffic accidents are major health concern in Kathmandu Medical College Teaching Hospital and preventive measures should be considered to reduce such health burden. Keywords: Alcohol; Injury;Pattern; RTA.

Abstract— The data of vehicle sales and traffic accident can be processed into information that is important for vehicle dealers and the Police Department. Those important information researched are the level of consumer loyalty to the vehicle brands and to predict the vehicle’s brands that will be purchased by a consumer. The study also tries to analyze the traffic accident data to find out is there any link between the occurrence of an accident to a certain brand of vehicle. This research implementing data mining method called ‘rule based classification’ to establish the sales of vehicles rules by which can be used to classify consumer into group level of brand loyalty and also estimate the brand of the next vehicle’s brand that will be purchased by the consumer. This research will process the data traffic accident by using data mining techniques called Apriori Method. Apriori Method is used to identify a pattern of accidents based on brand, type of vehicles, and the vehicle’s color. The results are used to estimate whether there is any correlation between the occurrences of a traffic accident to a particular brand. The result can help companies or vehicle dealers to obtain information about the level of the consumer’s brand loyalty to the dealer’s brand and to predict the brand that the consumer would be buy for the next vehicle. The result can also help the Police Department to find out whether there is any correlation between the occurrence of traffic accidents to the brand, type and the color of vehicle. Keywords— rule based classification, apriori, brand loyalty, traffic accident.

Abstract This study aims to identify the characteristics and costs of traffic accidents that occurred in Garut Regency in period of 2012 until 2017. The focus of the study was accidents involving buses, as a public transportation mode. In this study, a descriptive approach is used, and for the cost of traffic accidents, the Gross Output Method is used. The results obtained show that the proportion of traffic accidents involving buses in the Regency of Garus is 3.5%, with humans being is the dominant factor causing the traffic accidents. In addition, the cost of traffic accidents involving these buses reaches 0.15% of the Gross Regional Domestic Product of Garut Regency. Keywords: traffic accidents, accident costs, public transportation, accident characteristics Abstrak Penelitian ini bertujuan untuk mengidentifikasi karakteristik dan biaya kecelakaan lalu lintas yang terjadi di Kabupaten Garut pada tahun 2012 hingga tahun 2017. Fokus penelitian adalah kecelakaan yang melibatkan bus, sebagai moda transportasi publik. Pada studi ini digunakan pendekatan deskriptif dan untuk biaya kecelakaan lalu lintas digunakan metode Gross Output. Hasil yang didapat menunjukkan bahwa proporsi kecelakaan lalu lintas yang melibatkan bus di Kabupaten Garut adalah 3,5%, dengan manusia merupakan faktor penyebab yang dominan. Selain itu, biaya kecelakaan lalu lintas yang melibatkan bus ini mencapai 0,15% terhadap Produk Domestik Regional Bruto Kabupaten Garut. Kata-kata kunci: kecelakaan lalu lintas, biaya kecelakaan, transportasi publik, karakteristik kecelakaan

The number of mobile applications has been increasing rapidly in every field of life with the increasing use of smart devices. Smartphones and tablets make our lives easier with their properties and application they include. Minor or major accidents in traffic are always present in the daily life resulting in financial damage and loss of lives. There have been a number of studies done to speed up the processes to be done from the moment an accident happens. This study aims to enable people to perform all of the post-accident processes quickly and accurately with the use of mobile devices. In this way, papers and documents like photographs will be sent to the competent authorities without wasting time and effort. In addition, access to the road assistance needed will be quite easy. Keywords: Traffic accident, loss assessment and proceedings, mobile application.

Abstract This study aims to determine the area of traffic accident prone (hotspots) and determine the temporal spatial development of traffic accident areas in the Special Region of Yogyakarta, from 2016 to 2018. The method used is Optimized Hotspot Analysis and Directional Distribution with the help of ArcGIS software. The results of this study indicate that the location of traffic accidents in the Special Region of Yogyakarta is spread throughout the Special Region of Yogyakarta, with hotspots in 2016 located in 114 villages, in 2017 located in 110 villages, and in 2018 in 112 villages. The temporal spatial development of traffic accident locations in the Special Region of Yogyakarta changed from 2016 to 2018, with rotation in 2016 of 102.32 degrees, in 2017 of 37.59 degrees, and in 2018 of 45.55 degrees. Keywords: traffic accidents, traffic accident locations, traffic accident prone areas, hotspots Abstrak Penelitian ini bertujuan untuk menentukan daerah rawan kecelakaan lalu lintas (hotspots) dan menentukan perkembangan spasial temporal daerah kecelakaan lalu lintas di Daerah Istimewa Yogyakarta, dari tahun 2016 hingga tahun 2018. Metode yang digunakan adalah Optimized Hotspot Analysis dan Directional Distribution dengan bantuan perangkat lunak ArcGIS. Hasil penelitian ini menunjukkan bahwa lokasi kecelakaan lalu lintas di Daerah Istimewa Yogyakarta menyebar di seluruh wilayah Daerah Istimewa Yogyakarta, dengan wilayah hotspots tahun 2016 berada di 114 desa/kelurahan, tahun 2017 di 110 desa/kelurahan, dan tahun 2018 di 112 desa/kelurahan. Perkembangan spasial temporal lokasi kecelakaan lalu lintas di Daerah Istimewa Yogyakarta berubah dari tahun 2016 hingga tahun 2018, dengan rotasi di tahun 2016 sebesar 102,32 derajat, di tahun 2017 sebesar 37,59 derajat, dan di tahun 2018 sebesar 45,55 derajat. Kata-kata kunci: kecelakaan lalu lintas, lokasi kecelakaan lalu lintas, daerah rawan kecelakaan lalu lintas, hotspots

Driving is a complex process which involves eye-hand-foot coordination. Failure to coordinate will contribute to road traffic accidents (RTA). Young drivers usually represent the highest number of individuals involved in the accident cases. Thus, three common ergonomics principle were examined in this study: human-machine-environment. Issues such as land use, vehicle design and the importance of law enforcement are briefly discussed. Further research is needed to improve driver’s behavior and responses while driving. Strict enforcement on legislation and early education on road safety are required. It is also suggested that developing country should refer to the preventive model used in developed countries for reference. Keywords: Accident, Design, Road users eISSN 2514-751X © 2017 The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

AbstrakKecelakaan lalu lintas (laka lantas) di Sulawesi Tenggara perlu mendapatkan penanganan yang efektif karena menyebabkan korban meninggal dunia yang terus meningkat setiap tahunnya. Salah satu langkah penanganan adalah analisis karakteristik laka lantas yang berhubungan dengan korban meninggal dunia. Analisis karakteristik laka lantas dapat dilakukan dengan pendekatan faktor penyebab kecelakaan, jenis kecelakaan, dan waktu kejadian.Penelitian ini mengaplikasikan algoritma Classification based on Predictive Association Rules (CPAR) pada data mining untuk analisa karakteristik laka lantas. Algoritma CPAR menghasilkan Class Association Rules (CARs), selanjutnya CARs digunakan untuk mendeskripsikan karakteristik laka lantas yang berhubungan dengan korban meninggal dunia.Hasil penelitian diperoleh bahwa faktor yang menyebabkan korban meninggal dunia pada kasus laka lantas adalah faktor manusia (berkendara dibawah pengaruh alkohol dan berkendara melebihi batas kecepatan) dan faktor lingkungan fisik (prasarana jalan yang rusak dan jalan dengan tikungan tajam). Jenis kecelakaan (tunggal dan depan-depan), waktu kejadian (tanggal 8-14, hari Senin dan Selasa, jam 13:00-18:59), jenis kendaraan (sepeda motor) dan merek kendaraan (Honda), berpotensi menimbulkan korban meninggal pada kasus laka lantas. Pengendara sepeda motor rentan menjadi korban pada kasus laka lantas. Pengujian akurasi menggunakan 10-fold cross validation Hasil pengujian menunjukkan bahwa rata-rata akurasi algoritma CPAR lebih tinggi yaitu 48,75% dibandingkan dengan algoritma PRM yaitu 41,13%. Kata kunci— data mining, algoritma CPAR, kecelakaan lalu lintas Abstract Traffic accident in Southeast Sulawesi needs to get treatment more effective. One of the handling is analysis of traffic accident characteristic and then it was related to the death. Analysis of trafiic accident characteristics can be done with the approach factors the cause of the accident, the kind of an accident, and time genesis.This Research apply CPAR algorithm on the data mining to analyze the characteristics of traffic accident. CPAR Algorithm produce Class Association Rules (CARs) that used to describe traffic accident characteristics related to the death.Results of research, that the factors that caused the victim died in traffic accident is human factors (driving under the influence of alcohol and driving exceed the speed) and environmental factors physical (road infrastructure and damaged roads with elbow). Types of accidents (in the singular and home-front), time genesis (on 8-14, reported Monday and Tuesday, hours 1:00 pm-6:59 pm), the type of vehicle (motorcycle), potentially causing the death toll in the case laka then. Motorcycle drivers are prone to fall victim in that case laka then. Testing accuracy using 10-fold cross validation test result show that on average these accuracy algorithm CPAR 48.75%, higher than the algorithm PRM 41.13%. Keywords— data mining, CPAR algorithm, traffic accident

Abstract The main theme of this thesis is to discuss the specific conditions of motorcycles participation in traffic. Primarily the author of the processing of statistical data relating to road traffic accidents found the most frequent causes leading to the accident of motorcycles, set out a list of typical hazardous situations and provide an opportunity to prevent them, respectively propose the concrete steps for their reduction, while visual processing is done using by the Virtual CRASH software. Secondarily, it is then processed an overview by modern elements of active and passive safety of motorcycles and their effect on the reduction of traffic accidents, or reduce health risks as the consequences of road traffic accidents. Statistical data are then confronted with the subjective perception of participation in traffic, concretely with motorcycle riders. Their opinions are interpreted by the most frequent responses from the questionnaires, the results are included in the last part of this thesis. The objective of this work is in the comparison of both perspectives - statistical data and the opinions of motorcyclists - about the traffic situation in the Czech Republic. The result of this work is the more realistic view on the issue.

Objective: This study was conducted to find the epidemiological characteristics of bicycling-related maxillofacial fractures in a defined population, and identify factors contributing to injury. Methodology: A prospective study was carried out involving patients presenting with maxillofacial fractures sustained in bicycling-related accidents. Results: Between 908 of all cycling accidents attending for medical treatment, 122 patients (13% of all cycling accidents) were admitted with facial fractures between 2007 and 2014. Male and female ratio was 2.6:1, and the mean age was 29.4 years (standard deviation: 12.8, range: 12-79 years). Causes of injury included collisions (63%) and accidental falls (37%). The fracture patterns seen were mandibular (49%), zygomatic (32%), orbital (13%), nasal (7%), maxillary (2%), and frontal (2%). Condylar fractures were the most common of the mandibular fractures (63%). The most frequently observed concomitant lesions were orthopedic injuries. Conclusions: Bicycling-related maxillofacial injuries are common and therefore important to identify in order to design a sustainable transport system and for units that provide assistance to traffic accident victims. Missed diagnosis or delayed treatment can lead to facial deformities and functional problems. Wearing protective helmets and the improvement of the helmets design is one aspect that would be of interest for the prevention of injuries. Keywords: Cycling; bicycle-related trauma; maxillofacial fractures; risk factors; helmets.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3718