Relevant bibliographies by topics / Road Traffic Accident (RTA)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Road Traffic Accident (RTA)'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Road Traffic Accident (RTA)"

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Chourasia, Sachin, K. V. Radhakrishna, Ravi Rautji, and Shivakumar D. K. "Road traffic accidents attending casualty in a tertiary care hospital : a 03 year study from South Western India." International Journal of Research in Medical Sciences 7, no. 10 (September 25, 2019): 3744. http://dx.doi.org/10.18203/2320-6012.ijrms20194303.

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Background: Road Traffic Accident (RTA) is any vehicular accident occurring on the roadway i.e. originating on, terminating on, or involving a vehicle partially on the roadway. Road traffic accidents are a human tragedy which has an immeasurable impact on the families affected. The WHO estimates that over 1.2 million people pass away every year on the world’s roads, and between 20 and 50 million fall victims to non-fatal injuries. The incidence of RTA remains poorly measured in India.Methods: The present study is conducted at casualty department of a tertiary care hospital in South Western India among victims of road traffic accident. This cross sectional study was conducted to elucidate the role of various factors involved in road traffic accidents and to study demographic profile and injury pattern among RTA victims. All the reported RTA cases from 1st January 2016 to 31st December 2018 were included in the study.Results: A total of 875 cases of RTA were studied. There were 83.77%(n=733) male and 16.23%(n=142) female accident victims. Most of the patients were aged between 21 and 30 years. Monsoons witnessed 46.63%(n=408) cases. Most cases occurred between 6 and 12pm (54.4%, n=476). Commonest injury was a simple injury (72.91%, n=638), dangerous injuries (27.09% percent, n=237) and dead was (7.43%, n=65). The highest number of accidents took place in the month of June (19.09%, n=167) and on Sundays (22.17%). Among the motorized vehicles, two-wheeler drivers were more (76.91%, n=673) involved in accidents. In this study 17.60% (n=154) were under influence of alcohol while driving.Conclusions: This study shows there are multiple factors associated with road traffic accidents. Most of the factors responsible for RTA and its fatal consequences are preventable. India, as a signatory to the Brasilia declaration, intends to reduce road accidents and traffic fatalities by 50% by 2022. A comprehensive multipronged approach can mitigate most of them.
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Rahman, Md Moshiur, Farzana Zafreen, and Abu Noman Mohammed Mosleh Uddin. "Characteristics of Road Traffic Accident Cases Reported in a Tertiary Military Hospital." Journal of Armed Forces Medical College, Bangladesh 15, no. 2 (December 20, 2020): 213–17. http://dx.doi.org/10.3329/jafmc.v15i2.50842.

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Introduction: Road traffic accidents (RTA) are the eighth leading cause of death globally, and the leading cause of death in Bangladesh. The road safety situation in Bangladesh has been deteriorating with increasing number of road accident deaths, largely as direct consequences of rapid growth in population, motorization, urbanization and lack of investment in road safety. Objectives: To describe the injury characteristics of road traffic accidents cases that reported at Combined Military Hospital (CMH), Dhaka. Materials and Methods: This descriptive cross-sectional hospital based study was conducted on all the RTA cases reported to medical inspection room CMH, Dhaka from 01 March to 30 June 2010. A total of 126 RTA victims irrespective of age and sex were included, data were collected by face to face interview using a pre-tested questionnaire. Results: A total of 126 road traffic accident victims both sexes were studied. The majority of the study subjects were men 103 (81.7%) and most of them were in 31-40 years group (27%), Muslims (98.41%) were the majority. In our study regarding educational qualification of RTA victims most of them were SSC qualified (44’4%) and primary level (15.1%). Military services holder (45.2%) was the majority of road traffic crash victims. Bus/Minibus (32.5%) was responsible for the majority of road traffic crashes and motor vehicle passengers (42.9%) were main victims. Laceration & cut injury were (38.1%) and multiple injury (18.3%) were the most common injury. Main roads (49.2%) were the commonest site of the accidents. Regarding place of occurrence main roads 62 (49.2%) was the most common site and noon 41 (32.5%) was the most common time of occurrence of accidents. Conclusion: Road traffic crashes constitute a major public health problem in our setting and contribute significantly to unacceptably high morbidity and mortality. Urgent preventive measures targeting at reducing the occurrence of road traffic crashes is necessary to reduce the morbidity and mortality resulting from these injuries. Early recognition and prompt treatment of road traffic injuries is essential for optimal patient outcome. JAFMC Bangladesh. Vol 15, No 2 (December) 2019: 213-217
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Timofeeva, Svetlana S., Semen S. Timofeev, and Aleksey А. Taskaev. "Risks of road accidents in Irkutsk region." XXI century. Technosphere Safety 5, no. 4 (December 2020): 411–20. http://dx.doi.org/10.21285/2500-1582-2020-4-411-420.

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The article deals with the issue of road safety. The aim is to analyze the accident rate on the roads of rkutsk region and assess the risk of road traffic accidents (RTA). The research is based on statistical data. A comparative analysis of the risks of road accidents and the risks of death of road users is carried out. The risk of death in accidents is higher in Slyudyanka district than in Irkutsk region, which is due to the complex route and mountainous areas. The damage caused by road traffic accidents is increasing every year.
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Agrawal, Tripti, Sandeep Kumar Sinha, and Nitesh Agrawal. "Retrospective Evaluation of Determinants of Road Traffic Injuries at a Naval Station." Indian Journal of Community Health 33, no. 1 (March 31, 2021): 205–11. http://dx.doi.org/10.47203/ijch.2021.v33i01.030.

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Introduction: Several factors like globalization, industrialization, migration, access to modern ways of living, increasing income levels, easy availability of vehicles, point of use entertainment/communication gadgets, media influence and others have brought human beings in close contact with a variety of challenges to safe driving, resulting in an increased occurrence of Road Traffic injuries across the globe. Methods and Material: A cross-sectional descriptive study was conducted at naval station amongst victims of road traffic accidents who reported to emergency department of naval hospital over period of six months. Interviews on structured questionnaire to explore various determinants of road traffic injuries (RTI). Data Analysis on 156 victims was carried out for proportion of study variables of interest, Chi square test to determine significant differences between demographic variables and RTA exposure. Results: Of 156 RTA victims, more than 50% were between 21 - 40 years; 69.9% were male; 93% accidents were contributed by driving speed more than 40km/hr; 47% occurred at road junctions followed by civil roads; 27% were due to collision. 23% accidents took place on Saturdays; 36% were in morning 06 - 12 hours. 1/3 accidents were caused by two wheeler vehicles. Negligence of driver (40.4%) poor road condition (24.4%) were major causes of the accident as reported by victims. 44.2% of the victims had minor injury; 58.7% drivers who met accidents were holding valid driving license; 38% were wearing protective gears and 56% narrated that road lights/ traffic signals were available at vantage points. Exposure to accidents was found to be having statistically significant difference when related to age, gender, type of accident, common causes of accident and use of protective gears. Conclusions: The stricter application of traffic laws and safety measures are required to bring down the road traffic accident rate and related mortality.
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Kovačević, Jelena, Maja Miškulin, Matea Matić Ličanin, Josip Barać, Dubravka Biuk, Hrvoje Palenkić, Suzana Matić, Marinela Kristić, Egon Biuk, and Ivan Miškulin. "Quality of life in road traffic accident survivors." Slovenian Journal of Public Health 59, no. 4 (October 18, 2020): 202–10. http://dx.doi.org/10.2478/sjph-2020-0026.

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AbstractIntroductionThe loss of quality of life is the major consequence following a non-fatal road traffic accident (RTA). Previous research regarding quality of life did not include uninjured RTA survivors. The research aim was thus to evaluate the quality of life of the RTA survivors regardless of whether or not they sustained injures, and to identify factors associated with decreased quality of life after the RTA.MethodsA cohort of 200 RTA survivors with and without injuries was followed after experiencing an RTA. The quality of life and mental health outcomes were assessed 1 month following RTA. A vast range of sociodemographic, pre-RTA health-related, RTA related, RTA injury-related, compensation-related factors and mental health outcomes were investigated.ResultsDecreased quality of life following an RTA showed an association with the low socioeconomic status of the RTA victims, poor pre-RTA health, injury-related factors, compensation-related factors and psychological disorders after the RTA.ConclusionsIdentifying predictors of decreased quality of life following an RTA will enable planning interventions targeting the most important factors that influence recovery of RTA victims. Assessing and recording of self-reported quality of life should be a part of the routine protocol in RTA survivors’ health-care.
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Abdulmajeed Alamri, Tarek M. Esmael, Sami Fawzy, Hany Hosny, Saleh Attawi, Ahmed Asiri, and Arulanantham Zechariah Jebakumar. "A study on Private Car Accidents." International Journal of Novel Trends in Pharmaceutical Sciences 11, no. 1 (March 27, 2021): 10–24. http://dx.doi.org/10.26452/ijntps.v11i1.1409.

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In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.
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Shantajit, Thokchom, Chirom Ranjeev Kumar, and Quazi Syed Zahiruddin. "ROAD TRAFFIC ACCIDENTS IN INDIA: AN OVERVIEW." International Journal of Clinical and Biomedical Research 4, no. 4 (October 30, 2018): 36–38. http://dx.doi.org/10.31878/ijcbr.2018.44.08.

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Road traffic accidents claim over a million lives every year in the world. As per World Health Organization (WHO) it is one of the leading cause of death. India, being a rapidly developing country with expanding economy has its own issues as regarding road traffic accidents due to rapid proliferation of motorization. Road traffic accidents causes enormous morbidity and mortality and at the same time, the toll on the economy of the country as a result of it is quite heavy. Road traffic accident is a result of an interaction among different factors which include the environment, vehicle and the human being. Traditionally it is considered that road traffic accidents are accidents which are unpredictable, inevitable and not preventable. But road traffic accidents are indeed predictable and preventable in majority of the cases. This require the knowledge of factors contributing and leading to road traffic accidents. There are certain preventive measures which if adopted can lead to decrease in morbidity and mortality resulting from RTA. Hence, it is the responsibility of all to contribute in reducing road traffic accidents.Keywords: Road traffic accidents; Road traffic injuries; Roads in India, Road safety; Vehicular registration.
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Kujur, Manisha, Asha Kiran, Anuj Pankaj Xaxa, and Vivek Kashyap. "Determinants of road traffic accidents cases in tertiary care hospital at Ranchi, Jharkhand." International Journal Of Community Medicine And Public Health 6, no. 11 (October 24, 2019): 4955. http://dx.doi.org/10.18203/2394-6040.ijcmph20195087.

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Background: Worldwide, road traffic accident (RTA) poses a public health and development challenge and greatly affects the human capital development of every nation. This study aims in providing tangible evidences about determinants of road traffic accident cases at tertiary care center with a good area coverage giving insight into burden of RTA.Methods: This study was cross sectional hospital based study done in Rajendra Institute of Medical Science Ranchi, Jharkhand. Patients coming to emergency department were recorded and followed in ENT, neurosurgery and orthopedics department of RIMS, Ranchi in the period of one month (15th January to 20th Febuary2019).Results: Most of the patients were (59%) among the age group of 19-35 years of which 89.5% of the patients were male. 84.8% of the accident took place while motorcycle was driven. 53.3% of the patients were without license. Majority of the cases were driving between the speed of 30-60 km/hr at the time of accident. Majority of cases were not wearing helmet at time of accident (76%). Majority of accidents took place in state highway (53.3%) (roads connecting major cities of states). 59% of the accident took place at T-type junction. Major factor responsible was unusual behavior of man and animal (19%) and followed by overtaking (18.1%). Majority of the accidents were due to front collision (34.3%).Conclusions: There is a need for encouraging and promoting safe driving behavior among community members by the awareness through road safety campaigns and enforcement of road traffic laws to bring down the burden of RTA.
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Li, Xibing, Jiao Liu, Jian Zhou, Xiling Liu, Lei Zhou, and Wei Wei. "The Effects of Macroeconomic Factors on Road Traffic Safety: A Study Based on the ARDL-ECM Model." Sustainability 12, no. 24 (December 9, 2020): 10262. http://dx.doi.org/10.3390/su122410262.

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This paper attempts to examine whether socioeconomic volatility produces differentiated effects on road traffic accident indicators. Adopting the Autoregressive distributed lag error-correction model (ARDL-ECM), this paper explores the long-term equilibrium and short-term interactions between five common economic indicators, namely, average salaries (AS), employment (EM), unemployment (UE), total mileage of highway (TMH), and private vehicle ownership (PVO), as well as road traffic-related indicators including the number of road traffic accidents (RTA), injuries (IN), fatalities (FA), and direct economic losses (DEL), using data of road traffic accidents spanning from 1999 to 2018 in China. The study found that all economic indicators except average salaries showed a long-term equilibrium with road traffic accident indicators. The Granger causality test showed that, over the short term, an increase in employment could lead to an increase in injuries, and an increase in private vehicle ownership could cause a rise in fatalities. This study demonstrates that the volatility in economic indicators indeed produces differentiated effects on road traffic accident indicators, providing a theoretical basis for improving road safety performance and formulating relevant policies.
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Masuri, Mohamad Ghazali, Khairil Anuar Md Isa, and Mohd Pozi Mohd Tahir. "Children, Youth and Road Environment: Road traffic accident." Asian Journal of Environment-Behaviour Studies 2, no. 4 (July 1, 2017): 13–20. http://dx.doi.org/10.21834/aje-bs.v2i4.206.

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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.
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Dissertations / Theses on the topic "Road Traffic Accident (RTA)"

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Diakite, Aïssata. "Rôle de l'alcool et des substances psychoactives dans les accidents de la voie publique à Abidjan, Côte d'Ivoire (Étude ASMA-CI)." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10064/document.

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L'objectif de notre thèse est d'évaluer le rôle de l'alcool et autres substances psychoactives dans la survenue et la gravité des traumatismes dus aux Accidents de la Voie Publique (AVP) en Côte d'Ivoire. Nous avons initié un recueil de données sur 893 victimes tuées ou blessées suite à un AVP, et admises aux urgences ou à l'Institut de Médecine Légale d'Abidjan. Ces données hospitalières ont été couplées aux données policières et aux résultats d'analyses toxicologiques. La méthode de dosage de l'alcoolémie par CPG-FID a démontré qu'elle répond parfaitement aux critères de performances analytiques recommandés en termes de fidélité, d'exactitude, de linéarité, de stabilité et de limite de quantification. Les niveaux d'alcoolémie chez les victimes au moment de l'AVP, sont élevés et compatibles avec un profil d'alcoolisation excessive. Plus de 75% des conducteurs alcoolisés ont une alcoolémie supérieure à 1g/L. Les prévalences d'alcoolémie au-delà de 0,8g/L sont de 41% chez les conducteurs de véhicules légers 4 roues, 35% chez les 2-roues, 17% chez les piétons et 13% chez les passagers. L'usage des autres substances psychoactives est moins fréquent chez les victimes (11%) et souvent associé à une alcoolémie supérieure à 0,8g/L. L'évaluation du risque de blessures graves (NISS9+) en fonction du degré d'alcoolisation suggère que les victimes avec une alcoolémie modérée ont un risque de blessures graves plus élevé en comparaison avec les victimes sobres (OR = 7,7; IC95% : 2,5-24,2). Au terme de cette thèse, nous proposons une procédure fiable de dosage de l'alcoolémie chez les victimes d'AVP et des mesures concrètes pour la prévention des traumatismes par AVP en Côte d'Ivoire
We implemented a data collecting process including 893 victims who died or were injured following a RTA, and were admitted to the Emergency Room or to the Forensic Institute in Abidjan. This hospital-based data was linked with police data and toxicological testing. The method developed in our laboratory for blood alcohol determination using GC-FID demonstrated a good compliance with analytical performance requirements in terms of repeatability, accuracy, linearity, stability and limit of quantification. Blood alcohol levels found in victims at the time of the RTA were compatible with an excessive alcohol intake. More than 75% of drivers with a positive alcohol test had a blood alcohol concentration greater than 1g/L. Prevalence of alcohol above 0.8g/L reaches 41% in light four-wheel drivers, 35% in two-wheel riders, 17% in pedestrian and 13% in passengers. The prevalence of psychoactive drugs was lower (11%) compared to alcohol and usually associated with blood alcohol level greater than 0.8g/L. The assessment of the risk of serious injury (NISS9+) associated to the level of blood alcohol content suggest that victims showing a moderate blood alcohol level are more at risk to sustain serious injury compared to sober victims (OR = 7.7; IC95% : 2.5 – 24.2). In conclusion, we make some practical proposals to strengthen and for facilitating the application of the current law concerning driving under the influence of alcohol. We also make recommendations for prevention of road traffic injuries in the Ivory Coast
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Zheng, Yunan. "The impact of localized road accident information on road safety awareness." Thesis, Connect to e-thesis, 2007. http://theses.gla.ac.uk/721/.

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Thesis (Ph.D.) - University of Glasgow, 2007.
Ph.D. thesis submitted the Faculty of Information and Mathematical Sciences, Department of Computing Science. Includes bibliographical references. Print version also available.
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Naji, Jamil Abdul-Rabb. "Road accident analysis in Yemen : the identification of shortcomings in road accident data, data adjustment, cost and development of road fatality model." Thesis, University of South Wales, 1996. https://pure.southwales.ac.uk/en/studentthesis/road-accident-analysis-in-yemen(8586c669-4709-4b2c-9d83-45003bc5d0bf).html.

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The true extent of the road accident problem in Yemen is questionable. Some agencies and citizens believe that the safety situation in Yemen is very critical while others disagree with this belief. Both sides however, agree that the road accident problem in Yemen is such that it requires considerable attention. Since Yemen has no history in road safety research and since there is no reliable road accident data in the country, making final judgements on the situation is difficult unless supported by adequate research. The aim of the present research is to provide a better understanding of the road accident problem in the Yemen. This can be made by investigation of the real dimensions of the road accident problem. This includes the identification of the shortcomings in road accident data, the cost of road accidents and modelling road accident fatalities.
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Mollet, C. J. "The analysis of road traffic accident data in the implementation of road safety remedial programmes." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52483.

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Thesis (M.Ing.)--Stellenbosch University, 2001.
ENGLISH ABSTRACT: A road safety remedial programme has as an objective the improvement of road transportation safety by applying road safety engineering remedial measures to hazardous road network elements in a manner that will be economically efficient. Since accident data is the primary manifestation of poor safety levels it must be analysed in manner that will support the overall objective of economic efficiency. Three steps in the process of implementing a road safety remedial programme, that rely on the systematic analysis of accident data, are the identification of hazardous locations, the ranking of hazardous locations and the evaluation of remedial measure effectiveness. The efficiency of a road safety remedial programme can be enhanced by using appropriate methodologies to measure safety, identify and rank hazardous locations and to determine the effectiveness of road safety remedial measures. There are a number of methodologies available to perform these tasks, although some perform much better than other. Methodologies based on the Empirical Bayesian approach generally provide better results than the Conventional methods. Bayesian methodologies are not often used in South Africa. To do so would require the additional training of students and engineering professionals as well as more research by tertiary and other research institutions. The efficiency of a road safety remedial programme can be compromised by using poor quality accident data. In South Africa the quality of accident data is generally poor and should more attention be given to the proper management and control of accident data. This thesis will report on, investigate and evaluate Bayesian and Conventional accident data analysis methodologies.
AFRIKAANSE OPSOMMING: Die doel van 'n padveiligheidsverbeteringsprogram is om op die mees koste effektiewe manier die veiligheid van onveilige padnetwerkelemente te verbeter deur die toepassing van ingenieursmaatreëls. Aangesien padveiligheid direk verband hou met verkeersongelukke vereis die koste effektiewe implementering van 'n padveiligheidsverbeteringsprogram die doelgerigte en korrekte ontleding van ongeluksdata. Om 'n padveiligheidsverbeteringsprogram te implementeer word die ontleding van ongeluksdata verlang vir die identifisering en priortisering van gevaarkolle, sowel as om die effektiwiteit van verbeteringsmaatreëls te bepaal. Die koste effektiwiteit van 'n padveiligheidsverbeteringsprogram kan verbeter word deur die regte metodes te kies om padveiligheid te meet, gevaarkolle te identifiseer en te prioritiseer en om die effektiwiteit van verbeteringsmaatreëls te bepaal. Daar is verskeie metodes om hierdie ontledings te doen, alhoewel sommige van die metodes beter is as ander. Die 'Bayesian' metodes lewer oor die algemeen beter resultate as die gewone konvensionele metodes. 'Bayesian' metodes word nie. in Suid Afrika toegepas nie. Om dit te doen sal addisionele opleiding van studente en ingenieurs vereis, sowel as addisionele navorsing deur universiteite en ander navorsing instansies. Die gebruik van swak kwaliteit ongeluksdata kan die integriteit van 'n padveiligheidsverbeteringsprogram benadeel. Die kwaliteit van ongeluksdata in Suid Afrika is oor die algemeen swak en behoort meer aandag gegee te word aan die bestuur en kontrole van ongeluksdata. Die doel van hierdie tesis is om verslag te doen oor 'Bayesian' en konvensionele metodes wat gebruik kan word om ongeluksdata te ontleed, dit te ondersoek en te evalueer.
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Andeta, Jemal Ahmed. "Road-traffic accident prediction model : Predicting the Number of Casualties." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20146.

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Efficient and effective road traffic prediction and management techniques are crucial in intelligent transportation systems. It can positively influence road advancement, safety enhancement, regulation formulation, and route planning to save living things in advance from road traffic accidents. This thesis considers road safety by predicting the number of casualties if an accident occurs using multiple traffic accident attributes. It helps individuals (drivers) or traffic offices to adjust and control their contributions for the occurrence of an accident before emerging it. Three candidate algorithms from different regression fit patterns are proposed and evaluated to conduct the thesis: the bagging, linear, and non-linear fitting patterns. The gradient boosting machines (GBoost) from the bagging, Linearsupport vector regression (LinearSVR) from the linear, and extreme learning machines (ELM) also from the non-linear side are the selected algorithms. RMSE and MAE performance evaluation metrics are applied to evaluate the models. The GBoost achieved a better performance than the other two with a low error rate and minimum prediction interval value for 95% prediction interval. A SHAP (SHapley Additive exPlanations) interpretation technique is applied to interpret each model at the global interpretation level using SHAP’s beeswarm plots. Finally, suggestions for future improvements are presented via the dataset and hyperparameter tuning.
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Zhao, Qiang. "Multi-model based simulation in the reconstruction of road traffic accident." Thesis, Loughborough University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500371.

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A Synthetic Traffic SIMluation (ST-SIM) framework is constructed in this project. The framework provides a computer-based platform for traffic research, consisting of three modules: Driver Behaviour, Vehicle Dynamics, and Road Network modelling. Based on these models, ST-SIM can construct and simulate a broad range of traffic scenarios, including accidents. The research in this project has concentrated on the contribution of driver behaviour to the formation of normal traffic and traffic failure, ST-SIM has been designed and implemented using Agent-based modelling techniques. The software has been validated using simulator based driver collision avoidance behaviour from TRL and applied to help the accident reconstruction work of On-The-Spot (OTS) team in the UK.
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Hetherington, Angela. "Stress in accident and emergency personnel and road traffic patrol officers." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385778.

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Chan, Wing-yee. "An application of GIS for road accident analysis in Hong Kong /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23294577.

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Shoarian-Sattari, Kamal. "Use of vehicle flow parameters as predictors of road traffic accident risk." Thesis, Queen Mary, University of London, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391324.

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Ohene, Lillian. "Family centred care for children in Ghana hospitalised through road traffic accident." Thesis, De Montfort University, 2017. http://hdl.handle.net/2086/16366.

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Road traffic accident (RTA) is one of the leading causes of injuries and hospitalisation of children in Ghana. The sudden hospitalisation of the injured child is associated with anxieties and stressful episodes for the affected families. Family Centred Care (FCC) is a concept in paediatric nursing, which forms the basis of care for sick children and their families. FCC as a product of social constructs differs in cultures and context, despite the universal principles underpinning the concept. There is a perceived lack of knowledge of the concept in childcare practice in Ghana. This study explored the perspectives of FCC among health professionals and parents of children hospitalised through RTA in Ghana. The study adopted a qualitative approach, underpinned by a constructivist grounded theory methodology. Data was generated through in-depth individual interviews using a semi-structured technique. Participants consisted of twenty-four professionals and nineteen parents. Data were analysed using a constant comparative approach and two core categories emerged. Parental presence emerged from parents’ perspective, which generated four sub-categories. These include; managing emotions, negotiating the system, parental care roles, and challenges encountered. The professionals’ interviews generated family involvement; its sub-categories are parental involvement, communication, setting boundaries and support for family involvement. The emerging model of parental presence and family involvement for the care of the injured child in the hospital is the first of its kind in Ghana. The dimensions of negotiating the care system, which includes parents negotiating their social status with the professionals, also, demonstrating their usefulness in the hospital and establishing acquaintances with persons with influential powers within the socio-cultural context of Ghana forms part of key findings and the contribution to knowledge. The outcome of discussing the findings within the existing literature was projected using the Force Field Analysis as a conceptual framework for family involvement in the medico-cultural context of Ghana. The study recommends that institutional policies should reflect family involvement practice evidenced by clear written protocols for the involvement of parents/family in the care of the in-patient child.
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Books on the topic "Road Traffic Accident (RTA)"

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Road accident statistics. Adelaide, S. Aust: Rumsby Scientific Pub., 1987.

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Unit, Environmental Research. Road accident facts Ireland. Dublin: EnvironmentalResearch Unit, 1989.

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Constabulary, Royal Ulster. Road traffic accident statistics: Annual report. [Belfast]: Royal Ulster Constabulary, 1986.

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Unit, Royal Ulster Constabulary Central Statistics. Road traffic accident statistics: Annual report. Belfast: Force Publications Branch, 1999.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. [Belfast]: Royal Ulster Constabulary, 1994.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. Belfast: HMSO, 1996.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. Belfast: Force Publications Branch, 1997.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. Belfast: Force Publications Branch, 1998.

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Dix, Jay. Investigation of Road Traffic Fatalities. London: Taylor and Francis, 2000.

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Thorn, Roger. A practical guide to road traffic accident claims. London: Kluwer Law, 1987.

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Book chapters on the topic "Road Traffic Accident (RTA)"

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Ryan, G. Anthony. "Road Accident Prevention Research Unit, Accident Analysis and Prevention." In Transportation, Traffic Safety and Health — Man and Machine, 137–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57248-7_12.

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Fernandes, Fábio A. O., Ricardo J. Alves de Sousa, and Mariusz Ptak. "Application of Numerical Methods for Accident Reconstruction and Forensic Analysis." In Head Injury Simulation in Road Traffic Accidents, 59–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89926-8_4.

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Alteren, Bodil, Per Hokstad, Dagfinn Moe, and Kristian Sakshaug. "A Barrier Model for Road Traffic Applied to Accident Analysis." In Probabilistic Safety Assessment and Management, 3603–8. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_576.

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Maharatna, Arup. "In the Name of ‘Accident’? India’s Road Traffic Deaths and Injuries." In India’s Perception, Society, and Development, 93–105. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1017-7_16.

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Tiwari, Prayag, Sachin Kumar, and Denis Kalitin. "Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques." In Communications in Computer and Information Science, 398–410. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6430-2_31.

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Greasley, Andrew. "Chapter 13. Case Study: A Simulation of a Road Traffic Accident Process." In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, 271–79. Berlin, Boston: De Gruyter, 2019. http://dx.doi.org/10.1515/9781547400690-013.

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Hussain, Sadiq, L. J. Muhammad, F. S. Ishaq, Atomsa Yakubu, and I. A. Mohammed. "Performance Evaluation of Various Data Mining Algorithms on Road Traffic Accident Dataset." In Information and Communication Technology for Intelligent Systems, 67–78. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1742-2_7.

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Guzek, Marek. "Driver’s Reaction Time in the Context of an Accident in Road Traffic." In Advances in Intelligent Systems and Computing, 184–93. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27687-4_19.

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Gupta, Namita, and Dinesh Kumar Saini. "Exploitation of Data Mining to Analyse Realistic Facts from Road Traffic Accident Data." In New Trends in Computational Vision and Bio-inspired Computing, 847–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41862-5_85.

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Feng, Mingchen, Jiangbin Zheng, Jinchang Ren, and Yue Xi. "Association Rule Mining for Road Traffic Accident Analysis: A Case Study from UK." In Advances in Brain Inspired Cognitive Systems, 520–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39431-8_50.

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Conference papers on the topic "Road Traffic Accident (RTA)"

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Singh, Aakashdeep, and Brijesh Sathian. "PA 06-6-2190 Knowledge of road traffic accident (RTA) and its risk factors among teenagers of pokhara, nepal." In Safety 2018 abstracts. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/injuryprevention-2018-safety.39.

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Tai, Wen-Kai, Hao-Cheng Wang, Cheng-Yu Chiang, Chin-Yueh Chien, Kevin Lai, and Tseng-Chang Huang. "RTAIS: Road Traffic Accident Information System." In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2018. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2018.00230.

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Yang, Jingshuai, and Dianye Zhang. "Driver Risk Perception and Road Traffic Accident." In Eighth International Conference of Chinese Logistics and Transportation Professionals (ICCLTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/40996(330)594.

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Kriswardhana, Willy, Akhmad Hasanuddin, and Ibram Maulana Palestine. "Modelling road traffic accident rate and road geometric parameters relationship." In HIGH-ENERGY PROCESSES IN CONDENSED MATTER (HEPCM 2020): Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, dedicated to the 90th anniversary of the birth of RI Soloukhin. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0014530.

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Li, Xiao, Yihui Huang, Guoling Lang, and Yunkun Chen. "Effect of Traffic Factors on Road Traffic Accident Injury Severities." In 2019 4th International Conference on Electromechanical Control Technology and Transportation (ICECTT). IEEE, 2019. http://dx.doi.org/10.1109/icectt.2019.00085.

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Hongguo, Xu, Zhang Huiyong, and Zong Fang. "Bayesian Network-Based Road Traffic Accident Causality Analysis." In 2010 WASE International Conference on Information Engineering (ICIE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icie.2010.276.

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Liu, Yusong, Baolin Bai, and Chunyan Zhang. "UAV image mosaic for road traffic accident scene." In 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2017. http://dx.doi.org/10.1109/yac.2017.7967565.

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Yu, Qing, and Zhongyin Guo. "Road Traffic Accident Forecasts Based on Cointegration Analysis." In Fifth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479384.382.

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Mokoatle, Mpho, Dr Vukosi Marivate, and Professor Michael Esiefarienrhe Bukohwo. "Predicting Road Traffic Accident Severity using Accident Report Data in South Africa." In dg.o 2019: 20th Annual International Conference on Digital Government Research. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3325112.3325211.

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Ramani, R. Geetha, and S. Shanthi. "Classifier prediction evaluation in modeling road traffic accident data." In 2012 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2012. http://dx.doi.org/10.1109/iccic.2012.6510289.

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