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Journal articles on the topic 'Accident of traffic'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Marinho, Cristiane da Silva Ramos, Jokasta Nicoly de Araújo Santos, Luiz Alves Morais Filho, Cecília Nogueira Valença, Emelynne Gabrielly de Oliveira Santos, and Osvaldo de Góes Bay Júnior. "Traffic accident: a review of cases of head trauma." Enfermería Global 18, no. 2 (2019): 323–52. http://dx.doi.org/10.6018/eglobal.18.2.324751.

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Objetivo: Caracterizar a los pacientes víctimas de accidentes de tráfico internados en un hospital general de la ciudad de Natal y el accidente de tráfico sufrido por ellos.Métodos: Estudio exploratorio, descriptivo, transversal, retrospectivo, con abordaje cuantitativo, realizado con 90 víctimas de accidentes de tráfico, en el periodo de julio a noviembre de 2015, que tuvieron Traumatismo Craneoencefálico. Resultados: El 28,3% de las víctimas estudiadas pertenecían al sexo masculino, el 28,9% en el grupo de edad de 20-29 años, el 43,3% de los accidentes fueron en domingo, el vehículo más invo

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Imran, Muhammad, and Jamal Abdul Nasir. "ROAD TRAFFIC ACCIDENTS." Professional Medical Journal 22, no. 06 (2015): 705–9. http://dx.doi.org/10.29309/tpmj/2015.22.06.1235.

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Objective: To determine the trend of road traffic accidents (RTAs) and forecastingtheir incidence is an emerging to take safety measures so that general public health relatedmorbidity and mortality can be minimized. Setting: The data for present study has been takenfrom Pakistan bureau of statistics (statistics House). Period: January 2002-2003 to December2011-2012. Methods: A set of eleven curve fitting models namely linear, quadratic, cubic,logarithmic, inverse, exponential growth model, logistics-curve ,and compound models werecarried out for prediction. Results: Under the descriptive analy

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Zhang, Han Xin. "Analysis on Affection and Dissemination of Road Traffic Accidents." Advanced Materials Research 468-471 (February 2012): 200–203. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.200.

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Analysis for the road traffic accident is the dissemination of summary analysis of road traffic accidents, all types of traffic into the causes and recommends a system can reduce the effective theory of road traffic accidents. Road traffic system is a person, motor vehicles, the combined effect of the environment from the system. Road traffic safety depends on people, vehicles, roads, environment and road traffic management in all aspects of an integrated system for co-ordination. Characteristics for the occurrence of traffic accidents, road traffic accident on an analysis and research of the

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Zhu, Yin. "Study on the Architecture of the Traffic Accident Management System." Advanced Materials Research 225-226 (April 2011): 878–81. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.878.

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The traffic accidents should be dealt with as quickly as possible when the traffic accidents have happened in order to prevent the second traffic accidents to happen and reduce their incidences. So this paer presents the architecture of the traffic accident management system based on analyzing the running flow of the traffic accident management and the incident management so that the system development will be more standard, scientific and efficient.Moreover, the paper introduces the architecture chart of the traffic accident management system which combined accident detection, forecast, ident

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Wang, Chen, Kai Du, Yin Li Jin, and Ling Yun He. "Han Ning Highway Traffic Accident Spatio-Temporal Analysis." Applied Mechanics and Materials 135-136 (October 2011): 560–64. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.560.

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Collecting the traffic accidents data of Han Ning highway in 2008, 2009 and 2010 three years, through two aspects of time and space to do statistical analysis and data mining of the traffic accidents of this highway. The result of the analysis is that accident rates have a certain relevance to time and space. From the time perspective, holidays and vacation days are accident high-risk days. From the space perspective, accident rate in the ascent and in the downhill are higher than on the straight road, cars go straight have a higher accident rate than in the corners, traffic accident rate in s

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Retallack, Angus Eugene, and Bertram Ostendorf. "Relationship Between Traffic Volume and Accident Frequency at Intersections." International Journal of Environmental Research and Public Health 17, no. 4 (2020): 1393. http://dx.doi.org/10.3390/ijerph17041393.

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Driven by the high social costs and emotional trauma that result from traffic accidents around the world, research into understanding the factors that influence accident occurrence is critical. There is a lack of consensus about how the management of congestion may affect traffic accidents. This paper aims to improve our understanding of this relationship by analysing accidents at 120 intersections in Adelaide, Australia. Data comprised of 1629 motor vehicle accidents with traffic volumes from a dataset of more than five million hourly measurements. The effect of rainfall was also examined. Re

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Atamanenko, Yuliya. "PROCESSING OF AEROPICTURES AT THE PLACE OF AN ACCIDENT ON THE WEB-PORTAL «INFORMATION AND ANALYTICAL CENTRE OF MONITORING OF ROAD TRAFFIC ACCIDENTS»." Law Journal of Donbass 73, no. 4 (2020): 189–95. http://dx.doi.org/10.32366/2523-4269-2020-73-4-189-195.

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The article presents theoretical substantiation of the methodological basis for use of aeropictures of unmanned aerial vehicles of the "micro" class, namely DJI Phantom 3 Professional and GIS-technologies during the mapping of the site of an accident. A structural and functional model of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" has been developed and implemented, which allows to fully use aerial photographs of unmanned aerial vehicles to increase the efficiency of road accident mapping technology. A step-by-step technological scheme for proces

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Wang, Meina, Jing Yi, Xirui Chen, Wenhui Zhang, and Tiangang Qiang. "Spatial and Temporal Distribution Analysis of Traffic Accidents Using GIS-Based Data in Harbin." Journal of Advanced Transportation 2021 (September 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/9207500.

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Road traffic safety is a social issue of widespread concern. It is important for traffic managers to understand the distribution patterns of road traffic accidents. To this end, this study examines the spatial and temporal patterns of road traffic accidents from both accident frequency and accident severity perspectives. Road traffic accident data from 2016 to 2018 in Harbin, China, were used for the analysis. First, the spatial localization of accidents was completed using geocoding, and the localized accident data were classified by season. Then, density analysis was performed both with and

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Zhang, Zhihao, Wenzhong Yang, and Silamu Wushour. "Traffic Accident Prediction Based on LSTM-GBRT Model." Journal of Control Science and Engineering 2020 (March 5, 2020): 1–10. http://dx.doi.org/10.1155/2020/4206919.

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Road traffic accidents are a concrete manifestation of road traffic safety levels. The current traffic accident prediction has a problem of low accuracy. In order to provide traffic management departments with more accurate forecast data, it can be applied in the traffic management system to help make scientific decisions. This paper establishes a traffic accident prediction model based on LSTM-GBRT (long short-term memory, gradient boosted regression trees) and predicts traffic accident safety level indicators by training traffic accident-related data. Compared with various regression models

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Antić, Boris, Milan Vujanić, Krsto Lipovac, and Dalibor Pešić. "ESTIMATION OF THE TRAFFIC ACCIDENTS COSTS IN SERBIA BY USING DOMINANT COSTS MODEL." TRANSPORT 26, no. 4 (2012): 433–40. http://dx.doi.org/10.3846/16484142.2011.635425.

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This paper presents estimation of the traffic accident costs in Serbia, based on original dominant costs model. Dominant costs model uses human capital approach and this model is developed for simple and quick calculation of the traffic accidents costs, because other simple methods as 1 million rules, are not suitable for estimation of the traffic accident costs in the countries with a low GDP per capita. Knowing the costs of traffic accidents is of crucial importance for establishing traffic safety to the level defined by the size of costs made as a consequence of unsafely. So, politicians, d

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Corby, M. J., and F. F. Saccomanno. "Analysis of Freeway Accident Detection." Transportation Research Record: Journal of the Transportation Research Board 1603, no. 1 (1997): 80–89. http://dx.doi.org/10.3141/1603-11.

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Instrumented traffic management can assist in the detection of freeway incidents and reduce the time required to initiate effective traffic management strategies and emergency response measures. Although instrumented freeway traffic management is concerned primarily with general incidents, reportable vehicle accidents are the focus of this research. Reportable accidents account for 20 percent of all freeway incidents and give rise to much of the nonrecurrent traffic congestion experienced on many freeways. Explored here is how the use of various accident-detection criteria, such as change in s

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Hu, Lin, Xingqian Bao, Hequan Wu, and Wenguang Wu. "A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data." Journal of Advanced Transportation 2020 (June 2, 2020): 1–7. http://dx.doi.org/10.1155/2020/9084245.

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Traffic accidents are often related to the driver’s driving behavior, which is mainly decided by his or her characters. In order to explore the correlation of traffic accident risk with driver characters, the age, driving experience, and driving style were statistically analyzed based on the China In-Depth Accident Study (CIDAS) database. Taking the number of casualties in the accident as evaluation indicators, the grey cluster analysis was used to classify the drivers into four accident risk ranks: low, medium to low, medium to high, and high. The results show that drivers aged 18–30 years ar

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Chen, Zhijun, Jingming Zhang, Yishi Zhang, and Zihao Huang. "Traffic Accident Data Generation Based on Improved Generative Adversarial Networks." Sensors 21, no. 17 (2021): 5767. http://dx.doi.org/10.3390/s21175767.

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For urban traffic, traffic accidents are the most direct and serious risk to people’s lives, and rapid recognition and warning of traffic accidents is an important remedy to reduce their harmful effects. However, research scholars are often confronted with the problem of scarce and difficult-to-collect accident data resources for traffic accident scenarios. Therefore, in this paper, a traffic data generation model based on Generative Adversarial Networks (GAN) is developed. To make GAN applicable to non-graphical data, we improve the generator network structure of the model and used the genera

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Seneviratne, P. N., and A. P. Seneviratne. "Selection of traffic accident countermeasures." Canadian Journal of Civil Engineering 15, no. 2 (1988): 145–51. http://dx.doi.org/10.1139/l88-020.

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A decision theory approach is proposed for selecting the optimal accident countermeasure when estimates of future accidents at a site and expected proportion of the accidents likely to be prevented by a countermeasure are uncertain. The decision model is transformed into a microcomputer program and a numerical example is used to illustrate the aptness of the approach and its ability to allow analysts to combine empirical data with informed judgment to make decisions systematically. The potential of the program to be expanded to operate with an extensive built-in knowledge base of accident and

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Zhu, Hongge, Yuntong Zhou, and Yanyan Chen. "Identification of potential traffic accident hot spots based on accident data and GIS." MATEC Web of Conferences 325 (2020): 01005. http://dx.doi.org/10.1051/matecconf/202032501005.

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The problem of road traffic safety has been widely concerned in recent years. The identification of traffic accident hot spots can effectively improve the road traffic safety and let the traffic managers formulate targeted improvement measures and suggestions. The traditional identification method of accident hot spot does not consider the spatial attribute of the accident, so it has some limitations in the identification of traffic accident hot area. Therefore, this paper first proposes a method to identify the hot spot of traffic accidents based on geographic information system (GIS). The ma

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Al-Mansour, Abdullah I. "Effects of Pavement Skid Resistance on Traffic Accidents." Journal of Engineering Research [TJER] 3, no. 1 (2006): 75. http://dx.doi.org/10.24200/tjer.vol3iss1pp75-78.

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The Ministry of Transport (MOT) in the Kingdom of Saudi Arabia had collected a massive amount of friction measurements using a Mu-meter covering most of the major highway network in the kingdom. Traffic accident data of 89 high accident rate locations from four main different highway classes were extracted from the MOT accident records. Pavement skid resistance for the selected locations was determined from the pavement skid resistance records. The objective of this paper is to utilize these data to investigate the effects of pavement skid resistance on traffic accidents. The analysis included

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JIWADIANA, I. GEDE AGUS, I. KOMANG GDE SUKARSA, and I. GUSTI AYU MADE SRINADI. "KLASIFIKASI KARAKTERISTIK KECELAKAAN LALU LINTAS DI KOTA DENPASAR DENGAN PENDEKATAN CLASSIFICATION AND REGRESSION TREES (CART)." E-Jurnal Matematika 4, no. 4 (2015): 146. http://dx.doi.org/10.24843/mtk.2015.v04.i04.p103.

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The aim of this research is to determine the classification characteristics of traffic accidents in Denpasar city in January-July 2014 by using Classification And Regression Trees (CART). Then, for determine the explanatory variables into the main classifier of CART. The result showed that optimum CART generate three terminal node. First terminal node, there are 12 people were classified as heavy traffic accident characteritics with single accident, and second terminal nodes, there are 68 people were classified as minor traffic accident characteristics by type of traffic accident front-rear, f

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Suthanaya, Putu Alit. "Analysis of Fatal Accidents Involving Motorcycles in Low Income Region (Case Study of Karangasem Region, Bali-Indonesia)." International Journal of Engineering Research in Africa 19 (October 2015): 112–22. http://dx.doi.org/10.4028/www.scientific.net/jera.19.112.

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Karangasem region is the lowest income region in Bali Province-Indonesia. The people are highly dependent on using motorcycle for their daily movement. Karangasem has a high fatality rate of traffic accidents. There are 190 cases of the traffic accident and causing the death of 140 people. The number of accidents involving motorcycles are 172 cases. The objective of this study is to investigate factors that influence fatal traffic accidents involving motorcycles. This study used traffic accident data over 6 years period from 2007-2012 and applied logistic regression. It was found that there ar

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Li, Wei, Xujian Zhao, and Shiyu Liu. "Traffic Accident Prediction Based on Multivariable Grey Model." Information 11, no. 4 (2020): 184. http://dx.doi.org/10.3390/info11040184.

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Owing to frequent traffic accidents and casualties nowadays, the ability to predict the number of traffic accidents in a period is significant for the transportation department to make decisions scientifically. However, owing to many variables affecting traffic accidents in the road traffic system, there are two critical challenges in traffic accident prediction. The first issue is how to evaluate the weight of each variable’s impact on the accident. The second issue is how to model the prediction process for multiple interrelated variables. Aiming to solve these two problems, we propose effec

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Men, Yu Zhuo, Hai Bo Yu, and Xin Pan. "Study on Macroscopic Prediction Model of Traffic Accident Influence Factors." Advanced Materials Research 590 (November 2012): 531–35. http://dx.doi.org/10.4028/www.scientific.net/amr.590.531.

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In order to study the main influence factors on urban traffic accident, the grey correlation system macroscopic prediction method was presented. Concerning the overall environmental perspective of people, automobile, and road as well as the distinctive characteristic of urban traffic accident, the prediction model of factors contributing to traffic accident was proposed. EXCEL software was applied to analyze the relations between the influence factors and traffic accidents with grey theory model adopted to calculate the correlation grade among different factors. The prediction Model was also v

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Meng, Yunwei. "Estimation of Crash Severity on Mountainous Freeways in Chongqing." Mathematical Problems in Engineering 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/9764309.

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Mountainous freeways always suffer from accidents due to special terrain, weather conditions, driving environment, and so on. Based on the records of 898 accidents that occurred on mountainous freeways in Chongqing during the past 6 years, the partial proportional odds model is used to identify the factors affecting the accident severity. The time of the accident, season, involvement of trucks, accident characteristics, speeding, maximum driving experience of involved drivers, and weather and road conditions are found to be important for the levels of accident severity. Zero to 6 a.m. and 19 t

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Isfandyari, Aning, and Lutfan Lazuardi. "Fatalitas dan analisis apasial lokasi rawan kcelakaan lalu lintas di kabupaten Gunungkidul." Berita Kedokteran Masyarakat 34, no. 2 (2018): 50. http://dx.doi.org/10.22146/bkm.26311.

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Fatality and spatial analysis of road traffic accident in Gunung KidulPurposeThis study is aimed to conduct further analysis of road accidents fatality and accident-potential area using geographic information system.MethodsThis was an analytic observational study using cross-sectional study design. Samples are all traffic accident recorded in police departement accident registry from January 1st to December 31st 2015. Data will be analyzed using poisson regression with robust variance and accident location will be analyzed spatially using ArcGIS 10.4 software.ResultsThe result revealed that 06

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Fariska, Debi, and Sri Wiwoho Mudjanarko. "ANALYSIS OF TRAFFIC ACCIDENTS IN THE DISTRICT GRESIK (Case Study: Road Duduksampeyan Sta km 16 + 000 - Sta km 16 + 500)." IJEEIT : International Journal of Electrical Engineering and Information Technology 3, no. 2 (2020): 1–7. http://dx.doi.org/10.29138/ijeeit.v3i2.1157.

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Traffic accident is an accident that occurs unexpectedly and unintentionally involving a vehicle which resulted in casualties and material damage. The problem of traffic accidents on the road Duduksampeyan Sta km 16 + 000 - Sta km 16 + 500 is the most significant. The purpose of this study was conducted to determine the level of traffic accidents that occurred in 2013-2018. This study uses a method that refers to the calculation of the number of accidents. The observations in the field of road safety facilities are still inadequate, lighting is in only one side of the road as much as ± 10 piec

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Gallo, Alain Dl, Joanne Barton, and William Li Parry-Jones. "Road traffic accidents: Early psychological consequences in children and adolescents." British Journal of Psychiatry 170, no. 4 (1997): 358–62. http://dx.doi.org/10.1192/bjp.170.4.358.

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BackgroundAlthough road traffic accidents are a major cause of injury and death in children and adolescents, research into their psychological consequences consists mainly of case reports.MethodA prospective study was made of young road traffic accident victims; 57 subjects, aged 5–18 years, who had been injured in road traffic accidents, and their parents, were interviewed 2–16 days post-accident and re-examined after 12–15 weeks.ResultsPost-accident stress symptoms occurred at both times. There was a decrease of symptom severity between the two interviews, but at the later time, 14% still su

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Yang, Mei, Qi Sheng Wu, Lan Bai, Lan Xin Wei, Bo Li, and Rong Gao. "Traffic Accident Detection of Optimal Sensor Placement Algorithms." Applied Mechanics and Materials 253-255 (December 2012): 1691–94. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1691.

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Through analysis the impact of rapid urban road traffic accidents on traffic operations factors. We take the rapid road between the Chang'an Road Interchange and the Yanta Interchange sections as the research target; simulate the traffic incident through the TransModeler software. Propose the best sensor layout spacing, which can rapidly detect the traffic accident when an accident comes out and supply to the traffic management departments to deal with traffic accident, protect the urban freeway traffic flow.

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Albayati, Amjad H., and Ishraq Mahdi Lateef. "Characteristics of Traffic Accidents in Baghdad." Civil Engineering Journal 5, no. 4 (2019): 940–49. http://dx.doi.org/10.28991/cej-2019-03091301.

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Road traffic accidents (RTAs) are events that suddenly, inadvertently and unexpectedly occur under unforeseen circumstances that involve at least one moving vehicle and result in one or more road users being killed or injured. Unfortunately, Iraqi governorates suffer from higher rates of traffic accident casualties compared with the rates of casualties from terrorist attacks; this situation reveals a serious and growing problem. Road traffic accidents are not easy to eradicate. However, their prevalence can be reduced to the barest minimum via periodic assessments of traffic accident character

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Kepel, Felicia R., Felicia R. Kepel, and Johannis F. Mallo. "Pola Luka pada Kasus Kecelakaan Lalu Lintas di Bagian Ilmu Kedokteran Forensik dan Medikolegal RSUP Prof. Dr. R. D. Kandou Manado Periode Tahun 2017." JURNAL BIOMEDIK (JBM) 11, no. 1 (2019): 23. http://dx.doi.org/10.35790/jbm.11.1.2019.23207.

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Abstract: Traffic accident is one of the main cause of death in Indonesia. In 2013 across South East Asia, Indonesia was the first rank with 26,416 traffic accidents. Accidents that occur can cause injuries from the minor injuries, disability, and even death. Every case of a traffic accident has a different pattern of injury. This study was aimed to obtain the pattern of injuries due to traffic accident based on gender, age, victim’s role before the occurence of a traffic accident, injury type, and wound location. This was a descriptive retrospective study using data of postmortem report (visu

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Zheng, Y. M., Y. R. He, X. R. Wang, and Q. J. Chen. "ACQUISITION AND ANALYSIS OF TRAFFIC ACCIDENT SCENE INFORMATION BASED ON LASER POINT CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 423–30. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-423-2020.

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Abstract. With the rapid development of the economy, the number of vehicles in China has increased rapidly, which has also brought about frequent ills in traffic accidents. How to improve the efficiency of on-site treatment of traffic accidents, and quickly and accurately conduct accident investigation and analysis is imminent. This paper was based on the point cloud to draw the accident scene DLG, and then used the local elevation difference method to automatically extract the point cloud data of the accident vehicle, and analyzes the vehicle speed calculation, the damage area measurement and

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Skirmantė, Miglė, and Marija Burinskienė. "ANALYSIS OF PEDESTRIAN AND BICYCLE SAFETY ON THE MOST ACCIDENTAL STREETS IN VILNIUS CITY." Mokslas - Lietuvos ateitis 12 (September 22, 2020): 1–5. http://dx.doi.org/10.3846/mla.2020.13065.

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The article examines the intersections of the most accidental streets of Vilnius, which are classified as black spots, and provides suggestions on how to rearrange them. The statistics of traffic accidents are analyzed to identify the most accident-prone streets. Dangerous intersections are identified by the black spot methodology. The technical parameters of the most accident-prone streets, the behavior of pedestrians and cyclists at intersections are analyzed. After analyzing the factors that determine the accident, solutions are proposed to help reduce the number of accidents involving pede

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Gupta, Meenu, Vijender Kumar Solanki, and Vijay Kumar Singh. "A Novel Framework to Use Association Rule Mining for classification of traffic accident severity." Ingeniería Solidaria 13, no. 21 (2017): 37–44. http://dx.doi.org/10.16925/in.v13i21.1726.

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Introduction: Traffic accidents are an undesirable burden on society. Every year around one million deaths and more than ten million injuries are reported due to traffic accidents. Hence, traffic accidents prevention measures must be taken to overcome the accident rate. Different countries have different geographical and environmental conditions and hence the accident factors diverge in each country. Traffic accident data analysis is very useful in revealing the factors that affect the accidents in different countries. This article was written in the year 2016 in the Institute of Technology &a

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Retallack, Angus Eugene, and Bertram Ostendorf. "Current Understanding of the Effects of Congestion on Traffic Accidents." International Journal of Environmental Research and Public Health 16, no. 18 (2019): 3400. http://dx.doi.org/10.3390/ijerph16183400.

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Traffic accidents impart both economic and social costs upon communities around the world, hence the desire for accident rates to be reduced. For this reduction to occur, the factors influencing the occurrence of accidents must be understood. The role of congestion in modifying accident risk has been widely studied, but consensus has not been reached, with conflicting results leaving open questions. An inverse relationship between accidents and congestion would imply a benefit of congested conditions for road safety, posing a difficult situation for traffic management. This paper assesses arti

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Li, Jiajia, Jie He, Ziyang Liu, Hao Zhang, and Chen Zhang. "Traffic accident analysis based on C4.5 algorithm in WEKA." MATEC Web of Conferences 272 (2019): 01035. http://dx.doi.org/10.1051/matecconf/201927201035.

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At present, China is in a period of steady development of highways. At the same time, traffic safety issues are becoming increasingly serious. Data mining technology is an effective method for analysing traffic accidents. In-depth information mining of traffic accident data is conducive to accident prevention and traffic safety management. Based on the data of Wenli highway traffic accidents from 2006 to 2013, this study selected factors including time factor, linear factor and driver characteristics as research indicators, and established the decision tree using C4.5 algorithm in WEKA to expl

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Ding, De Ping, Zhi Cong Yin, Xun Li, and Zhuang Xie. "The Relationship between the Traffic Accidents and Meteorological Condition on Beijing-Tianjin-Tanggu Expressway." Applied Mechanics and Materials 188 (June 2012): 300–307. http://dx.doi.org/10.4028/www.scientific.net/amm.188.300.

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Abstract. Based on the monthly datasets, including the number of traffic accidents, casualties and meteorological data, the relationship between the traffic accidents and meteorological conditions is studied. The results are as follows: (1) There are two peaks of the number of traffic accidents, which are the saddle-shaped peak from Apr to Jun and the second peak in Oct respectively. The number of traffic accidents in February is the least. The temporal distribution of the casualty is different from that of traffic accident. Most casualties happened in Jul. and the second in Apr. and Oct. The

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Connolly, John F., Anne Cullen, and Orfhlaith McTigue. "Single Road Traffic Deaths—Accident or Suicide?" Crisis 16, no. 2 (1995): 85–89. http://dx.doi.org/10.1027/0227-5910.16.2.85.

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Many authors have suggested that some deaths resulting from road traffic accidents are in fact suicide. The purpose of this study was to examine the circumstances of single road traffic deaths in County Mayo, Ireland, over the 15-year period from 1978 to 1992 inclusive. Using the information available from the coroners' files, evidence was sought to support the hypothesis that some accidental deaths may have been disguised suicides. The authors could find no conclusive evidence to suggest that this hypothesis was true. However, there was suspicion of suicide in six (4.5%) of the 134 fatalities

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Xiao, Tianzheng, Huapu Lu, Jianyu Wang, and Katrina Wang. "Predicting and Interpreting Spatial Accidents through MDLSTM." International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1430. http://dx.doi.org/10.3390/ijerph18041430.

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Predicting and interpreting the spatial location and causes of traffic accidents is one of the current hot topics in traffic safety. This research purposed a multi-dimensional long-short term memory neural network model (MDLSTM) to fit the non-linear relationships between traffic accident characteristics and land use properties, which are further interpreted to form local and general rules. More variables are taken into account as the input land use properties and the output traffic accident characteristics. Five types of traffic accident characteristics are simultaneously predicted with highe

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Mashros, Nordiana, SittiAsmah Hassan, Yaacob Haryati, et al. "Road traffic accidents on Senai-Desaru expressway." MATEC Web of Conferences 250 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201825002002.

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Understanding and prioritising crash contributing factors is important for improving traffic safety on the expressway. This paper aims to identify the possible contributory factors that were based on findings obtained from crash data at Senai-Desaru Expressway (SDE), which is the main connector between the western and eastern parts of Johor, Malaysia. Using reported accident data, the mishaps that had occurred along the 77.2 km road were used to identify crash patterns and their possible related segment conditions. The Average Crash Frequency and Equivalent Property Damage Only Average Crash F

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Xu, Hai Hua, and Guang Fu Li. "Research on the Safety Performance Technical Identification Normative for Accidental Vehicles." Applied Mechanics and Materials 587-589 (July 2014): 2188–92. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.2188.

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In analyzing the factors of traffic accident, the most important reasons are the influence of people, vehicles, roads, and the environment for traffic accident. Learning how to handle traffic accident normatively and identify the traffic accident correctly, is the important lesson need to be solved urgently. however, the current safety performance technical expertise work for accidental vehicles lack of according with relevant laws and regulations, scientific, adaptable, and workable identification norms. To solve this problem stated previously, this paper studies the technical identification

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Sun, Chuan Jiao, Ru Yue Bai, and Yuan Yuan Yu. "Regression Analysis of Rural Road Traffic Accidents Causes." Applied Mechanics and Materials 97-98 (September 2011): 1042–45. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.1042.

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9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.

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Dorisman, Asri, Adji Suradji Muhammad, and Ramadhani Setiawan. "Stakeholder Collaboration in Traffic Accident Management." Jurnal Magister Administrasi Publik 1, no. 1 (2021): 64–75. http://dx.doi.org/10.31629/jmap.v1i1.3320.

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This research aims to determine how the collaboration process between stakeholders in response to traffic accidents in Kota Tanjungpinang. In Kota Tanjungpinang accident numbers are still quite high from year to year. In response to traffic accidents in Kota Tanjungpinang some stakeholders such as Polres Tanjungpinang, Dinas Perhubungan Kota Tanjungpinang, PT. Jasa Raharja (Persero) Perwakilan Tanjungpinang, Dinas Pekerjaan Umum dan Penataan Ruang Kota Tanjungpinang, Dinas Perumahan Rakyat, Kawasan Permukiman, Kebersihan dan Pertamanan Kota Tanjungpinang collaborate. Data collection methods in

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Golze, J., U. Feuerhake, C. Koetsier, and M. Sester. "IMPACT ANALYSIS OF ACCIDENTS ON THE TRAFFIC FLOW BASED ON MASSIVE FLOATING CAR DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 95–102. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-95-2021.

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Abstract. The wide usage of GPS-equipped devices enables the mass recording of vehicle movement trajectories describing the movement behavior of the traffic participants. An important aspect of the road traffic is the impact of anomalies, like accidents, on traffic flow. Accidents are especially important as they contribute to the the aspects of safety and also influence travel time estimations. In this paper, the impact of accidents is determined based on a massive GPS trajectory and accident dataset. Due to the missing precise date of the accidents in the data set used, first, the date of th

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Xu, Hai Hua, and Guang Fu Li. "Research on the Methods of Accident Vehicle Safety Performance Technological Identification." Applied Mechanics and Materials 505-506 (January 2014): 310–14. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.310.

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With the rapid development of the automobile industry and transport, the increasing traffic accidents have become the serious problems for the traffic management. The important issue that we how to deal with the traffic accidents scientifically and make an accurate identification about the traffic accidents is badly in need of solving. Based on the current situation and research methods of traffic accidents at home and abroad, this paper illustrates the research on accident vehicle safety performance technology identification from one of factors causing traffic accidents-vehicles, which makes

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Deme, Debela. "Road Traffic Accident in Ethiopia from 2007/08-2017/18." American International Journal of Sciences and Engineering Research 2, no. 2 (2019): 49–59. http://dx.doi.org/10.46545/aijser.v2i2.90.

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Traffic accident increased periodically in alarming rate and it was a serious problem throughout the globe particularly in developing countries like Ethiopia. This research concerns on Analyzing Road Traffic Accident in Ethiopia from 2007/08-2017/18. The main objective of the study was to investigate the growth rate of road traffic accident, road network coverage and motorized vehicle, and relationship between them in the past elven (11) year. In order to address the required objective the study use secondary data collected from Ethiopia federal police commission, Ethiopia road authority and E

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Lee, SoonYeol, and SoonChul Lee. "Moderating effect of speed desire frustration on the relationship between driving stress and coping behavior on traffic accident risk." Korean Journal of Industrial and Organizational Psychology 25, no. 3 (2012): 571–87. http://dx.doi.org/10.24230/kjiop.v25i3.571-587.

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The present study was conducted to determine the effects of driving stress on traffic accident risk. Specifically, the study verified whether a driver's speed desire frustration plays a control role in the relations between driving stress and traffic accident risk. As a result, a driver's speed desire frustration level played a control role in the relation between driving stress and traffic accident risk. This indicates that a driver's speed desire frustration level change driving stress sensitivities, thus changing the effects of selecting coping behavior types and causing differences in tota

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Davis, Gary A. "Estimating Traffic Accident Rates While Accounting for Traffic-Volume Estimation Error: A Gibbs Sampling Approach." Transportation Research Record: Journal of the Transportation Research Board 1717, no. 1 (2000): 94–101. http://dx.doi.org/10.3141/1717-12.

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Traffic-accident rates that are estimated for individual roadway sites are often used to identify potentially hazardous locations. Occasionally they are used to test whether an accident countermeasure is associated with a statistically significant change in accident rate. In assessing the uncertainty attached to estimated accident rates, it is often implicitly assumed that the total traffic at a site is known with certainty, when in actuality the total traffic almost always must be estimated from a short sample of traffic counts. This introduces estimation error, which, if ignored, can lead on

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Pramana Putra, Rudiana Eka, and Akhmad Khisni. "Traffic Accident Analysis in Prosses Evidence in Traffic Accidents Based on Act No. 22 of 2009." Jurnal Daulat Hukum 1, no. 4 (2018): 951. http://dx.doi.org/10.30659/jdh.v1i4.4138.

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Proof play an important role in the process of examination of the court, the development progress in the field of information technology and telecommunications, also developed the theories and practices of the use of evidence outside of a predetermined in the procedural law in Indonesia The problems of this study are: traffic accident analysis methods in the process of proving the traffic accident under the Act No. 22 of 2009. Obstacles and solutions in traffic accident analysis methods in the process of proving the traffic accident under the Act No. 22 of 2009.The research approach used adala

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Lord, Dominique. "Application of Accident Prediction Models for Computation of Accident Risk on Transportation Networks." Transportation Research Record: Journal of the Transportation Research Board 1784, no. 1 (2002): 17–26. http://dx.doi.org/10.3141/1784-03.

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Accident risk has been applied extensively in transportation safety analysis. Risk is often used to describe the level of safety in transportation systems by incorporating a measure of exposure, such as traffic flow or kilometers driven. The most commonly applied definition of accident risk states that risk is a linear function of accidents and traffic flow. This definition, however, creates problems for transportation systems that are characterized by a nonlinear relationship between these variables. The primary objective of the original research was to illustrate the application of accident

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Zhang, Han Xin. "Measures on the Impact-Spread of Road Accidents." Advanced Materials Research 490-495 (March 2012): 1081–84. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1081.

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Road safety system has been a concern topic for many scholars worldwide. Although there are many analysis papers on road traffic accident prevention, security, emergency rescue, safety evaluation and other aspects, there is no a thorough and complete opinion on road safety system. The study of these issues can cause a traffic accident prevention, to reduce the incidence of traffic accidents, summing up the spread of some of the impact of traffic on the control of the effective ways to combat the public security organs to reduce the incidence of traffic accidents guidance.

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G, Rohith, Twinkle Roy, Vishnu Narayan V, Shery Shaju, and Ann Rija Paul. "Semantic Video Mining for Accident Detection." International Journal of Innovative Science and Research Technology 5, no. 6 (2020): 670–78. http://dx.doi.org/10.38124/ijisrt20jun432.

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This paper depicts the efficient use of CCTV for traffic monitoring and accident detection. The system which is designed has the capability to classify the accident and can give alerts when necessary. Nowadays we have CCTVs on most of the roads, but its capabilities are being underused. There also doesn’t exist an efficient system to detect and classify accidents in real time. So many deaths occur because of undetected accidents. It is difficult to detect accidents in remote places and at night. The proposed system can identify and classify accidents as major and minor. It can automatically al

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Dirnbach, Igor, Tibor Kubjatko, Eduard Kolla, Ján Ondruš, and Željko Šarić. "Methodology Designed to Evaluate Accidents at Intersection Crossings with Respect to Forensic Purposes and Transport Sustainability." Sustainability 12, no. 5 (2020): 1972. http://dx.doi.org/10.3390/su12051972.

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Currently, there are quite a lot of incorrect procedures and mistakes that occur in the forensic area, which lacks analytical approaches toward solving the causes of accidents using s–t diagrams (distance–time diagrams) combined with the software simulation applications. When analyzing accidents, the correct information is of key importance. The aim of this article is to define a new specific technical and analytical approach toward handling expert’s reports on traffic accidents in road transport at intersections, with respect to the traffic lights. A simulation program application is used as

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Prentkovskis, Olegas, Edgar Sokolovskij, and Vilius Bartulis. "INVESTIGATING TRAFFIC ACCIDENTS: A COLLISION OF TWO MOTOR VEHICLES." TRANSPORT 25, no. 2 (2010): 105–15. http://dx.doi.org/10.3846/transport.2010.14.

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Traffic safety may be ensured by normal operation of all elements of the system, including the driver, a motor vehicle and transportation medium. Insufficient safety of some particular elements of this system (the lack of discipline of the participants of traffic, poor technical state of a motor vehicle or road, etc.) are the main causes of traffic accidents. Statistical data on traffic accidents in 2000–2009 in Lithuania is presented. Collisions of motor vehicles in 2009 make one of the largest proportion of all traffic accidents ‐ 33.4%. In 2009 drivers, were the main traffic accident perpet

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