Relevant bibliographies by topics / Accident of vehicle

Contents

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

Academic literature on the topic 'Accident of vehicle'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Accident of vehicle"

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Sasmito Ariwibowo, Agus, and Edi Winarko. "Data Mining Untuk Mengetahui Tingkat Loyalitas Konsumen Terhadap Merek Kendaraan Bermotor dan Pola Kecelakaan Lalulintas di DIY." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 5, no. 3 (November 19, 2011): 1. http://dx.doi.org/10.22146/ijccs.5205.

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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.
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Chang, Li-Yen, and Fred L. Mannering. "Predicting Vehicle Occupancies from Accident Data: An Accident Severity Approach." Transportation Research Record: Journal of the Transportation Research Board 1635, no. 1 (January 1998): 93–104. http://dx.doi.org/10.3141/1635-13.

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Past studies have shown that using accident records to estimate vehicle occupancies (i.e., using the observed occupancies of vehicles involved in accidents) results in an overestimation of occupancy. There are a number of possible reasons for this, one of which is that multioccupant accidents are more likely to be reported (i.e., appear in an accident database) because, with more people, the possibility of an injury is greater. The interaction between vehicle occupancy and accident severity is used to develop a method to correct for the occupancy overestimation bias inherent in accident data. A nested logit model of occupancy and severity is estimated, and a correction technique is applied to eliminate biases. The results show that the proposed approach gives accurate predictions of vehicle occupancies using standard accident data.
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Manap, Norhafizah, Muhamad Nazri Borhan, Muhamad Razuhanafi Mat Yazid, Mohd Khairul Azman Hambali, and Asyraf Rohan. "Identification of Hotspot Segments with a Risk of Heavy-Vehicle Accidents Based on Spatial Analysis at Controlled-Access Highway." Sustainability 13, no. 3 (February 1, 2021): 1487. http://dx.doi.org/10.3390/su13031487.

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Significant risk factors that influence the occurrence of heavy vehicle accidents have been explored in numerous studies in order to lower injury severity in traffic accidents. It is imperative to explore road sections with a high risk of heavy vehicle accident occurrence by considering the significant consequences of such accidents for road users, despite the low number of heavy vehicles in traffic flow. To address this, this study proposes a method to predict clustering hotspots for heavy vehicle accidents on the basis of three different criteria, namely, heavy vehicle accident cases, the number of heavy vehicles involved, and accident severity index values. Moran’s I spatial autocorrelation was employed to identify the clustering for each criterion, and the Getis–Ord Gi* statistic was applied to estimate the likelihood of risk along the network. This study considers the features of hotspot points at significance levels from 0.10 to 0.01 with a 1355 m buffer radius to create segments for each criterion. The three criteria for hotspots were considered within the overlapped buffer zone. A total of 22 heavy vehicle risk segments (HVRSs) were identified and then ranked by crash rate. Overall, this study demonstrates the application of different criteria to identify accident hotspots involving a specific vehicle type, which could help in prioritizing segments with a high risk of heavy vehicle accidents, as well as providing information for HVRSs for the purpose of developing appropriate countermeasures for the identified accident hotspots.
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Prentkovskis, Olegas, Edgar Sokolovskij, and Vilius Bartulis. "INVESTIGATING TRAFFIC ACCIDENTS: A COLLISION OF TWO MOTOR VEHICLES." TRANSPORT 25, no. 2 (June 30, 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 perpetrators ‐ 73.6%. The paper considers some major aspects of motor vehicle collision simulation based on the application of PC‐CRASH software, allowing researchers to analyze the changes in the direction of motor vehicle motion in the case of a collision and the influencing factors. This type of traffic accident simulation consists in studying the circumstances of collision, reconstructing the processes, calculating the pre‐impact speed of motor vehicles and deter‐ mining various parameters of motor vehicles’ movement at different stages of traffic accident development.
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Török, Árpád. "A Novel Approach in Evaluating the Impact of Vehicle Age on Road Safety." Promet - Traffic&Transportation 32, no. 6 (November 10, 2020): 789–96. http://dx.doi.org/10.7307/ptt.v32i6.3441.

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This study examines the correlation between road accident casualties and the age of the vehicle, assuming that the age of vehicles and the improvements in their safety designs are related. The study evaluates the impact of the interrelationship between road segment characteristics and road accident type on vehicle age at the time of the accident (AVC). To analyse the nested relationship between these variables, a multinomial logistic regression (MML) model has been developed. The result of the analysis also duly finds that vehicle age has an emphatic role in the occurrence of accidents.
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Qu, Huiyan, Wenhui Li, and Wei Zhao. "Human-Vehicle Collision Detection Algorithm Based on Image Processing." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 08 (November 27, 2019): 2055015. http://dx.doi.org/10.1142/s0218001420550150.

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In recent years, with the growth of China’s economy and the development of the automobile manufacturing industry, the number of various vehicles has continuously increased, and the incidence of traffic accidents has also increased. Especially in traffic blind areas, right-turning areas of vehicles, etc., traffic accidents such as vehicle collisions are extremely easy to occur, which poses a serious threat to people’s lives and property, and is extremely harmful. Therefore, related research on collision detection of people and vehicles has been traffic-safe and has received extensive attention from field researchers. At present, the research on human-vehicle collision detection is to detect human-vehicle collision accidents by tracking the track of vehicles and pedestrians, but there are problems such as poor tracking effect, low accuracy of collision discrimination and complex algorithms. Aiming at these problems, this paper studies the human-vehicle collision detection algorithm based on image processing. Through the image processing of traffic monitoring video, the vehicle and pedestrian contour information is extracted. Based on this, a mathematical model for collision detection is constructed to realize human-vehicle collision detection. The results show that the proposed method can effectively distinguish the collision between pedestrians and vehicles, and the algorithm for image processing is simpler than the traditional tracking algorithm, and the time is shorter. The results show that the image-based collision detection algorithm based on image processing can effectively and quickly identify the traffic accidents in which people and vehicles collide, and then can issue alarm signals in time, shortening the accident processing time and reducing the accident time. The possibility of a secondary accident has a high practicability in the detection of traffic accidents in which people and vehicles collide.
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Arthanareeswaran, Jeyashree, Bavithra Karunanidhi, Sowmiya Muruganantham, Archana Dhamodharan, and Subash Kumar Chellappan Swarnamma. "Automatic Vehicle Accident Indication and Reporting System for Road Ways Using Internet of Things." International Journal of Safety and Security Engineering 11, no. 3 (June 30, 2021): 269–77. http://dx.doi.org/10.18280/ijsse.110307.

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In India, transport becomes a basic commodity of daily life. As transportation starts increasing, safety has become a major concern for consumers. This paper mainly aims at reducing the fatalities caused due to accidents occurring in roadways. In general, many lives could be saved if emergency service could get accurate accident location and rescue the injured people at the minimum possible time. The Internet of Things has revlontinsed the modern world in recent times. As Global Positioning System has become an integral part of any vehicle system, this effective method is utilized to monitor the location of vehicles and send accident locations to an Accidents Monitoring and Rescue Services Centre (AMRSC) using GSM. The Accelerometer located in the vehicle system gives the live status of the vehicle position while the vehicle is in motion. Whenever an accident occurs, the signal from the accelerometer is fed to the controller. The Node MCU controller is programmed to check whether the accident has occurred and given the information to the user and AMRSC as soon as possible. Now, the system will also send the accident location acquired from the GPS along with the vehicle details through the GSM network to AMRSC. After receiving the alert message from the infected user vehicle system, the rescue team will reach the accident location as soon as possible by reading the data from the server.
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Perumal, B., E. Naveen Kumar, P. Deepthi, and K. Bhavana. "Safety Road Travelling System with Connected Vehicles." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (July 30, 2021): 56–60. http://dx.doi.org/10.35940/ijrte.b5995.0710221.

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Now a days we had seen so many Road accident cases are occurring and also increasing day by day. According to the statics of World Health Organization (WHO) 20-50 billion people were losing their life due to these accidents. To avoid these problems we came up with a proposed system called connected vehicles. Vehicle to Vehicle communication is a wireless broadcast that transmits the data between the connected vehicles. The main motive of this connected vehicles is safe travelling without any obstacles between the vehicles. Road accidents are the serious issues for human life for both individuals as well as the economic aspects. So our proposed system “Connected Vehicles” will reduce the accident cases by communicating with the nearer vehicles and shares the necessary information regarding the accidents cases to nearer vehicles.
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Nassar, S. A., F. F. Saccomanno, and J. H. Shortreed. "Road accident severity analysis: a micro level approach." Canadian Journal of Civil Engineering 21, no. 5 (October 1, 1994): 847–55. http://dx.doi.org/10.1139/l94-090.

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A comprehensive understanding of the relationship between road accident occurrence and severity of consequences permits the formulation of safety measures that are most cost-effective. A disaggregate model of road accident severity based on sequential logit models is presented. The sequential binary approach is able to account for the dependency between different levels of severity. Factors that affect the level of damage experienced by individuals involved in road accidents include the following: accident dynamics, seating position, vehicle condition, vehicle size, driver condition, and driver action. Separate models are calibrated for three accident situations: single-vehicle accidents, two-vehicle accidents, and multi-vehicle accidents. Ontario road accident police reports are used to calibrate and validate the models. The results of a simple application of the models to a safety protocol involving the effectiveness of passenger restraint devices are presented. Key words: road accident severity, personal injury, logit.
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Palazón-Bru, Antonio, María José Prieto-Castelló, David Manuel Folgado-de la Rosa, Ana Macanás-Martínez, Emma Mares-García, María de los Ángeles Carbonell-Torregrosa, Vicente Francisco Gil-Guillén, Antonio Cardona-Llorens, and Dolores Marhuenda-Amorós. "Development, and Internal, and External Validation of a Scoring System to Predict 30-Day Mortality after Having a Traffic Accident Traveling by Private Car or Van: An Analysis of 164,790 Subjects and 79,664 Accidents." International Journal of Environmental Research and Public Health 17, no. 24 (December 18, 2020): 9518. http://dx.doi.org/10.3390/ijerph17249518.

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Predictive factors for fatal traffic accidents have been determined, but not addressed collectively through a predictive model to help determine the probability of mortality and thereby ascertain key points for intervening and decreasing that probability. Data on all road traffic accidents with victims involving a private car or van occurring in Spain in 2015 (164,790 subjects and 79,664 accidents) were analyzed, evaluating 30-day mortality following the accident. As candidate predictors of mortality, variables associated with the accident (weekend, time, number of vehicles, road, brightness, and weather) associated with the vehicle (type and age of vehicle, and other types of vehicles in the accident) and associated with individuals (gender, age, seat belt, and position in the vehicle) were examined. The sample was divided into two groups. In one group, a logistic regression model adapted to a points system was constructed and internally validated, and in the other group the model was externally validated. The points system obtained good discrimination and calibration in both the internal and the external validation. Consequently, a simple tool is available to determine the risk of mortality following a traffic accident, which could be validated in other countries.
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Dissertations / Theses on the topic "Accident of vehicle"

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Gillespie, Kris S. "Improving commercial vehicle crash data quality in West Virginia." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1658.

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Thesis (M.S.)--West Virginia University, 2000.
Title from document title page. Document formatted into pages; contains v, 58 p. Vita. Includes abstract. Includes bibliographical references (p. 44-45).
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Henry, Kevin C. "Soft surface roll mechanics parameters for light vehicle rollover accident reconstruction /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2024.pdf.

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Muadinohamba, Jeremia Lucas. "Accident compensation reform : the case of the motor vehicle accident fund of Namibia." Thesis, Stellenbosch : Stellenbosch University, 2006. http://hdl.handle.net/10019.1/49204.

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Thesis (MDF)--Stellenbosch University, 2006.
ENGLISH ABSTRACT: In Southern Africa only five countries administer a fuel levy funded motor vehicle accident compensation system. These are South Africa, Namibia, Swaziland, Botswana and Lesotho. These accident compensation systems are administered by statutory bodies established through the respective Act of Parliaments, with the exception of Lesotho, which is outsourced to a private insurance agency for administration purposes. The enabling legislation prescribes the compensation of accident victims, where the cause of accident is due to the negligent or fault of the driver or owner of the vehicle. Over the years, the administration of these Funds have proven to be a significant challenge in respect of their enabling legislations, inadequate funding levels to meet liabilities as prescribed by the respective legislation and poor public governance of the institutions. The study reviews the Namibian MVA Fund's efforts to reform the compensation scheme in the context of an overall public management reform and social policy. The study presents the historical overview of the accident compensation regime and how that has influenced the current thinking and application of compensation policy in the Southern African region. The study emphasised the quest of the Funds to become financially viable, thus being able to meet present and future liabilities as and when they accrue to the respective Funds. Thus it presents new thinking and knowledge on alternative revenue sources that could be further explored to enhance financial viability and broadening the scope of coverage of the compensations scheme.
AFRIKAANSE OPSOMMING: In Suidelike Afrika gebruik slegs vyf lande 'n stelsel vir die vergoeding van motorvoertuigongelukke wat deur 'n brandstof heffing befonds word. Hierdie lande is Suid Afrika, Namibie, Swaziland, Botswana en Lesotho. Hierdie ongeluksvergoedingstelsel word ge-administreer deur statutere liggame daargestel deur die onderskeie wetgewing van Parlemente, met uitsondering van Lesotho, wat die funksie uitgekontrakteur het aan 'n private versekeringsmaatskapy vir adminstrasie doeleindes. Die betrokke wetgewing skryf die vergoeding van ongelukslagoffers voor waar die oorsaak van die ongeluk deur die nalatigheid of fout van die bestuurder of eienaar van die voertuig is. Die administrasie van die onderskeie fondse oor die jare, het getoon dat 'n groot uitdaging gestel word aan hul magtigende wetgewing ten opsigte van die toereikendheid van fondse en swak beheer, soos voorgeskryf deur die betrokke wetgewing. Hierdie studie hersien die Motorvoertuigongeluksfonds van Namibie se strewe tot die hervorming van die vergoedingskema in die oorhoofse publieke bestuurshervorming en maatskaplike voorskrifte. Die studie verteenwoordig die historiese oorsig van die ongeluksvergoedingskema en die invloed daarvan op die huidige denkwyses en toepassing van vergoedingskemas in die Suider-Afrikaanse streke. Hierdie studie het die proses van die Fondse om finansieel lewensvatbaar te word beklemtoon, derhalwe om in staat te wees om die huidige en toekomstige finiansiele verantwoordelikheid soos en wanneer dit deur die onderskeie fondse toegeskryf word, na te kom. Gevolglik verteenwoordig dit nuwe denkwyses en kennis van altematiewe bronne van inkomste wat verder ondersoek kan word om finansiele lewensvaatbaarheid te verbeter en die voordele struktuur van hierdie vergoedingskemas te vergroot.
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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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Shuhaibar, Nabeel Khalil. "Road accidents in a developing country : characteristics and causes of accident rates in Kuwait." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/8185.

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Stevenson, Timothy James. "Simulation of Vehicle-Pedestrian Interaction." Thesis, University of Canterbury. Mechanical Engineering, 2006. http://hdl.handle.net/10092/1180.

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The literature on vehicle crash reconstruction provides a number of empirical or classical theoretical models for the distance pedestrians are thrown in impacts with various types of vehicles and impact speeds. The aim of this research was to compare the predictions offered by computer simulation to those obtained using the empirical and classical theoretical models traditionally utilised in vehicle-pedestrian accident reconstruction. Particular attention was paid to the pedestrian throw distance versus vehicle impact speed relationship and the determination of pedestrian injury patterns and associated severity. It was discovered that computer simulation offered improved pedestrian kinematic prediction in comparison to traditional vehicle-pedestrian accident reconstruction techniques. The superior kinematic prediction was found to result in a more reliable pedestrian throw distance versus vehicle impact speed relationship, particularly in regard to varying vehicle and pedestrian parameters such as shape, size and orientation. The pedestrian injury prediction capability of computer simulation was found to be very good for head and lower extremity injury determination. Such injury prediction capabilities were noted to be useful in providing additional correlation of vehicle impact speed predictions, whether these predictions were made using computer simulation, traditional vehicle-pedestrian accident reconstruction methods or a combination of both. A generalised approach to the use of computer simulation for the reconstruction of vehicle-pedestrian accidents was also offered. It is hoped that this approach is developed and improved by other researchers so that over time guidelines for a standardised approach to the simulation of vehicle-pedestrian accidents might evolve. Thoracic injury prediction, particularly for frontal impacts, was found to be less than ideal. It is suspected that the relatively poor thoracic biofidelity stems from the development of pedestrian mathematical models from occupant mathematical models, which were in turn developed from cadaver and dummy tests. It is hoped that future research will result in improved thoracic biofidelity in human mathematical models.
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Chang, Li-yen. "Nested logit analysis of vehicle occupancy and accident severity /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/10189.

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Anderson, Linda K. "Deer-Vehicle Accident Hotspots in Northwest Clackamas County, Oregon." PDXScholar, 2006. https://pdxscholar.library.pdx.edu/open_access_etds/4968.

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Road-kill of wildlife is common on Portland, Oregon's suburban fringe where development has increased road densities and traffic volume in rural areas. I identify the spatial and temporal patterns of black-tailed deer (Odocoileus hemionus columbianus) deer-vehicle accidents (DVA) at the suburban/rural interface of developing northwest Clackamas County using deer carcass pickup reports for county maintained roads for 1997-2004 and Oregon Department of Transportation deer-vehicle accident reports for 1996-2004. No black-tailed deer DVA models exist in the literature. DVA increased 121% from 1997 to 1999 followed by a 26% decline by 2004. The initial DVA increase appears related to population growth and development into rural areas, an increase in the average daily vehicle-trip distance, and deer immigration from public lands. The subsequent decline appears related to DVA-induced decreases in deer populations, year-around hunting permits, growing predator populations, and fawning habitat loss. Temporal OVA patterns for black-tailed deer show a minor peak in June-July and a major peak in October-November. Forty-two percent of DVA occur during the rut/hunt months of September, October, and November. This pattern corresponds to the black-tail's annual cycle and resembles patterns reported for white-tailed deer (Odocoileus virginianus) and mule deer (Odocoileus hemionus columbianus). Weekly DVA increased from a low on Sunday to a high on Friday and Saturday. DVA showed two daily peaks at 0500-0700 and 1800-2200, corresponding to dawn and dusk when deer activity is highest. I identified 19 DVA hotspots with 16-27 DVA using CrimeStat III statistical clustering software. Hotspots occurring in rut/hunt months were separate from hotspots occurring in nonrut/nonhunt months. Similar to white-tailed and mule deer, black-tailed DVA hotspots commonly occurred where roads intersect or parallel water features, large forest blocks, and other areas of cover, or separate food sources from cover. Sixty-five percent of DVA occurred outside of hotspots with ≥ 10 DVA. Deer-vehicle accidents have important ecological and economic costs and are frequent on northwest Clackamas County roads. Additional research supported by multi-agency carcass pickup repo1ting and the acquisition of precise DV A locations using a Global Positioning System (GPS) is needed to better identify wildlife movement corridors.
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Schlüter, Philip John. "Identification of hazardous motor vehicle accident sites: some Bayesian considerations." Thesis, University of Canterbury. Mathematics, 1996. http://hdl.handle.net/10092/8428.

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Appropriate hazardous accident site identification and discrimination is a fundamental difficulty that confronts traffic safety researchers. Readily employed Bayesian methods can redress this difficulty and are the focus of this thesis. Accident analysis, including hazardous site identification, invariably requires the specification of some defined distributional function. However, several different distributions have been proposed to model traffic accidents, and so the most suitable model amongst these must be appropriately determined and selected. Model selection should satisfactorily fulfill two requisite criteria; firstly, that the best model is discriminated, and secondly, that this best distribution adequately describes the data. To help satisfy these requirements we introduce the averaged Bayes factor, a new method that determines the best model from likely candidate distributions, and we propose a new Bayesian procedure that facilitates the quantitative assessment of model adequacy. In addition, a method quantifying the power of detecting model inadequacy is presented. With the specification of an appropriate accident distribution, procedures facilitating hazardous site identification, ranking and selection are then proposed. These procedures are accomplished using the hierarchical Bayesian method and three intuitive quantitative strategies. Especially useful is a variation of the posterior probability that gives the probability each particular site is worst and by how much it is worst. All proposed techniques are illustrated using previously published accident data from 35 sites in Auckland, New Zealand.
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James, Kimberly Mullen. "Measuring behavioral disruption in children who have been in motor vehicle accidents." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=1118.

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Thesis (Ph. D.)--West Virginia University, 1999.
Title from document title page. Document formatted into pages; contains x, 112 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 62-73).
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Books on the topic "Accident of vehicle"

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Rhode Island. Dept. of Transportation. Motor vehicle accident statistics. [Providence, R.I.]: The Dept., 1993.

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Moch, Joseph W. Winning motor vehicle accident cases. Grand Rapids, Mich: Communication Research Inc., 1985.

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F, Sutphen Roy, ed. Commercial vehicle accident reconstruction and investigation. 2nd ed. Tucson, Ariz: Lawyers & Judges Pub. Co., 2011.

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Department, Washington State Bar Association Continuing Legal Education. Washington motor vehicle accident litigation deskbook. 2nd ed. Seattle, WA: Continuing Legal Education, Washington State Bar Association, 2001.

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Matthew, Brach R., ed. Vehicle accident analysis and reconstruction methods. 2nd ed. Warrendale, Pa: SAE International, 2011.

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Engineers, Society of Automotive, ed. Motor vehicle accident reconstruction: Review and update. Warrendale, PA: Society of Automotive Engineers, 1989.

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Motor vehicle accident reconstruction and cause analysis. 5th ed. Charlottesville, Va: LEXIS Pub., 1999.

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Motor vehicle accident reconstruction and cause analysis. 3rd ed. Charlottesville, Va: Michie Co., 1989.

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Motor vehicle accident reconstruction and cause analysis. 4th ed. Charlottesville, Va: Michie, 1994.

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SAE International Congress & Exposition (1990 Detroit, Mich.). Accident reconstruction: Human, vehicle, and environmental factors. Warrendale, PA: Society of Automotive Engineers, 1990.

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Book chapters on the topic "Accident of vehicle"

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Boyce, Thomas E., and E. Scott Geller. "Accident, Motor Vehicle, Adulthood." In Encyclopedia of Primary Prevention and Health Promotion, 146–53. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0195-4_19.

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Livesey, Andrew, and Alan Robinson. "Major accident damage repair." In The Repair of Vehicle Bodies, 318–60. 7th edition. | Boca Raton : Routledge, 2018. | Earlier editions by Alan Robinson.: Routledge, 2018. http://dx.doi.org/10.1201/9781351230650-14.

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Livesey, Andrew, and Alan Robinson. "Craft techniques and minor accident damage." In The Repair of Vehicle Bodies, 263–317. 7th edition. | Boca Raton : Routledge, 2018. | Earlier editions by Alan Robinson.: Routledge, 2018. http://dx.doi.org/10.1201/9781351230650-13.

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Grigorian, Areg, Christian de Virgilio, and Dennis Y. Kim. "Abdominal Pain Following Motor Vehicle Accident." In Surgery, 415–24. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-1726-6_41.

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Li, Xiang, and Jigang Jin. "Liability for Motor Vehicle Traffic Accident." In Concise Chinese Tort Laws, 191–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41024-6_18.

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Li, Xiang, and Jigang Jin. "Liability for Motor Vehicle Traffic Accident." In Concise Chinese Tort Laws, 287–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41024-6_31.

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Haug, E. "Biomechanical Models in Vehicle Accident Simulation." In Crashworthiness of Transportation Systems: Structural Impact and Occupant Protection, 237–59. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5796-4_11.

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Jeevarajan, Judith A. "Revisions to the Crewed Space Vehicle Battery Safety Requirements JSC 20793." In Space Safety is No Accident, 127–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15982-9_14.

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Nomoto, Hideki, Satoshi Ueda, Shinichi Takata, Toru Kasai, Tsutomu Fukatsu, Ryoji Kobayashi, Manami Nogami, and Yasufumi Wakabayashi. "Resilient Redundancy: Design Study of the New HTV (H-II Transfer Vehicle)." In Space Safety is No Accident, 529–36. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15982-9_61.

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Zhang, Jie, Chuanjiao Sun, and Hongyun Chen. "Vehicle Velocity Calculation in Accident Based on Morphology of Broken Vehicle Windshield Glass." In Lecture Notes in Electrical Engineering, 77–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21697-8_11.

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Conference papers on the topic "Accident of vehicle"

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Jiangqiang Gong and Wei Yang. "Driver pre-accident operation mode study based on vehicle-vehicle traffic accidents." In 2011 International Conference on Electric Information and Control Engineering (ICEICE). IEEE, 2011. http://dx.doi.org/10.1109/iceice.2011.5777792.

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Kumar, A. Sunil, Amith N, Jagadeesan A, Vijet Bhat, and Sunil Kumar P. "Smart Vehicle Accident Detection System." In 2021 International Conference on Design Innovations for 3Cs Compute Communicate Control (ICDI3C). IEEE, 2021. http://dx.doi.org/10.1109/icdi3c53598.2021.00019.

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Seiniger, P., H. Winner, and J. Gail. "Future Vehicle Stability Control Systems for Motorcycles With Focus on Accident Prevention." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59072.

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Vehicle Stability Control systems (VSC) for four-wheeled vehicles like the electronic stability program (ESP) helped to decrease the number of traffic deaths in Germany to an all-time low over the last ten years. However, the number of people killed in powered two-wheeler accidents has been almost constant over the same period of time. Vehicle Stability Control systems for powered two-wheelers (especially motorcycles) so far include only anti-lock brakes and traction control systems, both systems are not designed to work in cornering. Further stability control systems are not known up to now. The objective of this paper is to assess the technical possibilities for future Vehicle Stability Control systems and the amount of accidents that could be prevented by those systems. From an accident analysis, all accidents not avoidable by today’s VSC Systems have been analyzed. Only accidents while cornering without braking have been determined as potentially avoidable by future technical systems (braked accidents have been counted as preventable by improved today’s systems). The accidents can be caused by insufficient friction (e.g. slippery road surface, sand, oil or to high curve speed). About 4 to 8 percent of all motorcycle accidents are of this type. The data source for accident descriptions were interviews of motorcycle experts who were able to describe their own accidents and detailed accident descriptions from an accident database. The accident types have been investigated with driving experiments and computer simulation. With a vehicle model different ways to influence the critical driving situations could be analyzed and evaluated. Experiments and simulations showed an instable roll and side-slip angular acceleration of the motorcycle during critical driving situations. The sideslip rate proved to be a robust criterion for recognizing whether a driving situation is critical. The roll movement of the vehicle cannot be influenced with reasonable means, because neither the lateral tire forces can be increased nor stabilizing gyros can be used since the necessary angular momentum is to large for a feasible package. The vehicle sideslip rate can be influenced by braking the front or the rear wheel, thus generating a yaw moment to avoid the dangerous high-side type accidents when friction changes back from low to high. The motorcycle accidents influenced by this system are only a small portion of the mentioned accidents, so as a result of this study, the potential for future vehicle dynamic control systems that help prevent non-braking cornering accidents is estimated quite low.
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Vogler, Michelle M., Barbara Moroski-Browne, Timothy E. Angelos, and Richard Firestone. "Enhanced Vehicle Identification in Motor Vehicle Accident Databases." In SAE 2004 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-1186.

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Kimbrough, Scott. "Probability Analysis of Motor Vehicle Accidents." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32957.

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Probability analysis is the key to extracting the maximum information from the evidence surrounding a motor vehicle accident. Moreover, it gives essential perspective to the answers drawn from the evidence, by conveying the uncertainty about the answers. In this paper, probability methods are used to analyze a typical intersection type collision between two vehicles. It is a situation in which one of the vehicles pulls out from a stop sign into the path of the other vehicle, which had the right of way. The vehicle that pulls out into the path of the oncoming vehicle precipitates the accident, but the driver of the oncoming vehicle may have contributed to the accident by traveling at excessive speed and or by being inattentive.
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Fincham, W. "Data recorders for accident investigation." In IEE Colloquium on Monitoring of Driver and Vehicle Performance. IEE, 1997. http://dx.doi.org/10.1049/ic:19970661.

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Neale, William, Toby Terpstra, and William Bortles. "Evaluation of Discrete Vehicle Accident Sounds for use in Accident Reconstruction." In 156th Meeting Acoustical Society of America. ASA, 2009. http://dx.doi.org/10.1121/1.3050140.

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Dias, Racheal, Vishakha Ghike, Jennifer Johnraj, Nicholas Fernandes, and Anita Jadhav. "Vehicle Tracking and Accident Notification System." In 2018 3rd International Conference for Convergence in Technology (I2CT). IEEE, 2018. http://dx.doi.org/10.1109/i2ct.2018.8529773.

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Hargens, Randall L., and Terry D. Day. "Vehicle Data Sources for Accident Reconstruction." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1988. http://dx.doi.org/10.4271/880070.

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Thonglek, Kundjanasith, Norawit Urailertprasert, Patchara Pattiyathanee, and Chantana Chantrapornchai. "IVAA: Intelligent Vehicle Accident Analysis System." In 2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2019. http://dx.doi.org/10.1109/jcsse.2019.8864186.

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Reports on the topic "Accident of vehicle"

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Anderson, Linda. Deer-Vehicle Accident Hotspots in Northwest Clackamas County, Oregon. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6843.

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Hamins, Anthony. Evaluation of intumescent body panel coatings in simulated post-accident vehicle fires. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6157.

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Robert, Pederson. Causal Analysis Report- SNL/CA East Avenue Vehicle-Pedestrian Accident (LLNL Property). Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1763561.

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Bento, Antonio, Kenneth Gillingham, and Kevin Roth. The Effect of Fuel Economy Standards on Vehicle Weight Dispersion and Accident Fatalities. Cambridge, MA: National Bureau of Economic Research, April 2017. http://dx.doi.org/10.3386/w23340.

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Sarrack, A. G. Assessment of risk due to vehicle accident for the plutonium solution transfer from H-area to F-area. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/522730.

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ARMY SAFETY CENTER FORT RUCKER AL. Preventing Army Motor Vehicle Accidents. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada373207.

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Kelly, Luke. Threats to Civilian Aviation Since 1975. Institute of Development Studies (IDS), February 2021. http://dx.doi.org/10.19088/k4d.2021.019.

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This literature review finds that the main malicious threats to civilian aviation since 1975 are attacks by terrorist groups, deliberate or accidental damage arising from conflicts, and incidents caused by people who work for airlines or airports. While the sector has responded to hijackings and bombings with increasing security since the 1970s, actors seeking to attack aircraft have modified their tactics, and new threats such as liquid explosives and cyber attacks have emerged. Civilian aviation has seen relatively fewer accidents and deaths over the years, but threats remain. The review focuses on malicious threats to civilian aviation. It, therefore, excludes weather events or accidents. The first section lists major malicious threats to civilian aviation since 1975. It includes both actual and planned events (e.g. hijackings that were prevented) that are recorded in open-source documents. Each threat is listed alongside information on its cause (e.g. terrorism, state actions, crime), the context in which it occurred (broader factors shaping the risk including geography, regime type, technology), and its impact (on passengers, policy, security, economic). The second section discusses some of the trends in threats to aviation. Motives for malicious threats include terrorism, crime, asylum-seeking, and insider attacks by aggrieved or mentally ill airline staff. Hijacking has been the most common form of threat, although bombing or suicide attacks have killed more people. Threats may also take the form of accidental attacks on civilian planes misidentified as threats in conflict zones. Experts suggest that growing threats are cyberattacks and the use of unmanned aerial vehicles, although neither has yet caused a major incident.
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Franklin, A. L., J. C. Lavender, and D. A. Seaver. Combat Vehicle (CV) Accidents in Field Training Exercises (FTXs). Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada373034.

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Oncu, Mehmet, and Suleyman Yildiz. An Analysis of Human Causal Factors in Unmanned Aerial Vehicle (UAV) Accidents. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada620843.

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Shavell, Steven. On the Redesign of Accident Liability for the World of Autonomous Vehicles. Cambridge, MA: National Bureau of Economic Research, September 2019. http://dx.doi.org/10.3386/w26220.

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