Relevant bibliographies by topics / Traffic accident statistics

Contents

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

Academic literature on the topic 'Traffic accident statistics'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Traffic accident statistics"

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Imran, Muhammad, and Jamal Abdul Nasir. "ROAD TRAFFIC ACCIDENTS." Professional Medical Journal 22, no. 06 (June 10, 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 analysis, the annual average numberof fatal and non-fatal accidents is 43.3% and 56.7% respectively. In provinces Punjab contributesto a high rate of total number of accidents, while Khyber Pakhtunkhwa, Sindh and Baluchistanplaced second, third and fourth respectively. Under the curve fitting estimation, the cubicmodel was selected for predicting the annual traffic road accident for all categories i.e.(i) Total Number of Accident (ii) Fatal Accident (iii) Non-Fatal Accident (iv) Killed People(v) Injured People and (vi) The Number of Vehicle Involved. Rising trend in all categoriesare expected in Pakistan. Conclusions: The traffic road accident is expected to rise in Pakistan.
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Ahmad, Arif, Khandaker Hossain, and Mallik Hossain. "Identification of Urban Traffic Accident Hotspot Zones Using GIS: A Case Study of Dhaka Metropolitan Area." Journal of Geographical Studies 3, no. 1 (April 4, 2020): 36–42. http://dx.doi.org/10.21523/gcj5.19030104.

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The issue of traffic safety becomes increasingly prominent and has attracted widespread attention from researchers and policy makers. Dhaka, the capital of Bangladesh, is the most vulnerable city both in terms of total number of accidents and accident rates. GIS technology has been widely applied to urban traffic information and safety management. This paper presents a geospatial analysis to identify the road traffic accident (RTA) hotspot zones in Dhaka Metropolitan Area (DMA). ‘Spatial analysis’ and ‘spatial statistics tools’ are used to examine spatial patterns of accident data. A systematic comparison of identified hotspot zones using Local Moran’s-I Statistic, Getis-Ord Gi* statistic and Kernel Density Estimation (KDE) carried out to examine spatial patterns of high cluster of traffic accidents. These analyses revealed a total 22 hotspot zones in DMA during the years 2010-2012. This kind of research would help generating new parameters for reducing road traffic accidents in Dhaka Metropolitan Area.
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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 pedestrians and cyclists.
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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 validated through examples on the basis of the investigation of traffic accident and the relevant statistics. The results show that the model is applicable and efficient in forecasting the main factors and the relations between them, thus to avoid traffic accidents.
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Li, Jin Yao. "Analysis and Countermeasure of Traffic Accidents in a Dalians Transportation Group." Applied Mechanics and Materials 501-504 (January 2014): 2436–40. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.2436.

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Nowadays, traffic accidents have become one of the ten major threats to human health, and reducing the damage to life and property has been the people's demands. Traffic accident analysis has its inherently regional difference. The main objectives of this paper is to conduct investigation and statistical analysis on the weather conditions, month, week, hour, road environment, the drivers age and driving-age of the accidents, based on the traffic accidents records of a Dalians transportation group from 2008 to 2012. According to the acquired statistics and countering the geographical and climatic characteristics of Dalian area, this paper put forward traffic accident prevention measures proposed for Dalian area:Timely safety education and training for the drivers, establishing enterprise safety culture and establishing and improving the safety management system of modern traffic.
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Olkhov, V. "ESTABLISHMENT OF CAUSE AND EFFECT RELATIONSHIP BETWEEN IMPROPER ARRANGEMENT OF TRAFFIC MANAGEMENT FACILITIES AND TRAFFIC ACCIDENTS OCCURRENCE." Theory and Practice of Forensic Science and Criminalistics 21, no. 1 (December 15, 2020): 432–40. http://dx.doi.org/10.32353/khrife.1.2020_30.

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The daunting issues arising at experts and forensic bodies when appointing and conducting comprehensive road and pavement forensic investigation and road accident analysis (forensic expert examination) are considered. Types of traffic accidents provided by the statistics of the Department of Patrol Police of Ukraine are analyzed. A number of road accidents with victims committed in conditions of the road and settlements streets unsatisfactory state is defined. More and more judicial and investigative bodies turn to forensic science institutes, in particular to KhRIFE, in order to determine whether the improper design of the road network affected the occurrence of an accident. In other words, the questions not only on the establishment of improper design of the road section where the accident occurred, but also on the existence of cause and effect relationship between the identified discrepancies and the accident are advanced for examination. The study of the above issues belongs to the forensic specialty 10.16 Road and Pavement Forensic Investigation. The demand for forensic research of improper design of the road network and the causes of accidents are constantly growing. At the same time, the practice of conducting road and pavement forensic investigation, namely the analysis of the materials provided for the study, shows that most criminal proceedings are investigated both while pre-trial investigation and in court for violation of traffic safety rules or transport operation by persons who drive vehicles. In the statistical report of the Department of Patrol Police of Ukraine, the data of road accidents are not classified as those that arose due to improper condition of roads and streets of settlements, and when conducting road and pavement forensic investigation it is established that improper design of the road network is in cause and effect relationship with the occurrence of an accident from a technical point of view.
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Bukova-Zideluna, A., A. Villerusa, and A. Lama. "An overview on pedestrians involved in traffic accidents in Latvia: Years 2010-2014." SHS Web of Conferences 40 (2018): 01004. http://dx.doi.org/10.1051/shsconf/20184001004.

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Latvian national road accident statistics shows that for the vulnerable road users’ situation is critical, since pedestrians are involved in more than a quarter of road traffic accidents. This paper gives an analysis on pedestrians involved in road traffic accidents based on the road safety accident database in Latvia for the years 2010–2014. The total number of cases does not change significantly, however there has been an increase in pedestrian fatality rates over the period. From the total number of traffic accidents with pedestrians involved 92.4% had injuries, 6.8% were lethal cases and others didn't suffer from injuries. Out of 342 fatalities 37.7% occurred during the winter period, 56.1% in adverse weather (overcast, fog, rain or snow), 69.9% during twilight or darkness and 26.9% on weekends. Out of all accidents 55.3% occurred in the capital city Riga, but fatality rate was higher on main state roads. 8.1% of the total number of pedestrians involved in road traffic accidents was found to have alcohol in their blood right after the road traffic accident. Fatality rate was higher for those with exceeded BAC. Pedestrian injury risk analysis was associated with demographical and traffic-related factors, urbanization, visibility and seasonal patterns.
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Aydogdu, Yusuf Volkan. "A Comparison of Maritime Risk Perception and Accident Statistics in the Istanbul Straight." Journal of Navigation 67, no. 1 (September 23, 2013): 129–44. http://dx.doi.org/10.1017/s0373463313000593.

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The Istanbul Strait is a challenging waterway for maritime traffic due to its rough topology, moderate to severe environmental conditions, and heavy local traffic. In particular, a total of 232 maritime accidents took place there between 2000 and 2011. In this study, generic fuzzy analytic hierarchy processes were used to assess the risk perception of stakeholders in the Istanbul Strait, including ship captains, maritime pilots and Vessel Traffic Services operators. These risk perceptions were then compared to the statistical maritime accident data, revealing a fundamental discrepancy between the risk perception and statistical data. Specifically, the area of the Straight with the highest number of accidents is perceived as relatively low-risk, whereas areas perceived as high-risk experience a lower number of accidents. Our results have implications for stakeholders as well as government agencies responsible for the safety of the Straight.
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Visby, Rie Hultqvist, and Karoline Lundholt. "Gender Differences in Danish Road Accidents." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 3 (September 11, 2018): 166–74. http://dx.doi.org/10.1177/0361198118795005.

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A study based on the Danish Road Directorates accident statistics shows that there are different gender patterns in how we behave in traffic and our involvement in traffic accidents. Overall men drive more by car and take longer trips. Women take more trips, but they are shorter, and travel more by bicycle or walking. Although men and women spend the same amount of time in traffic, twice as many men as women are involved in traffic accidents. Men constitute 62% of all persons killed and injured in road accidents, and are involved in 66% of the accidents. Not only gender, but education, income and age are also important factors in the accident patterns of men and women in Denmark. People with primary/lower secondary school as the highest education level are over represented in accident statistics in proportion to other educational groups. Young people aged 18–24 constitute about 20% (the largest group) of persons killed and injured in traffic accidents, although they only constitute approximately 8% of the population. In this group, there are about twice as many men killed or injured as women. The overall pattern is that, the older you become, the higher educated you are and the higher income you have—the smaller is your risk of involvement in accidents in Denmark. This knowledge is of importance when planning communication strategies with different segments of the population and when reaching out to young people in schools, who are at the highest risk of getting killed or injured in accidents.
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Wang, Xue, Huiting Yu, Chan Nie, Yanna Zhou, Haiyan Wang, and Xiuquan Shi. "Road traffic injuries in China from 2007 to 2016: the epidemiological characteristics, trends and influencing factors." PeerJ 7 (August 6, 2019): e7423. http://dx.doi.org/10.7717/peerj.7423.

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Background Road traffic accidents are one of the serious disasters that cause public injury, fatality and great economic loss. They are a growing public health problem around the world. Objectives The aim of this study was to determine epidemiological characteristics, tendency and possible influencing factors of road traffic injuries (RTIs) in China, so as to give target suggestions on preventative measures. Methods Road traffic accident data were obtained from National Bureau of Statistics of China and Ministry of Transport of the People’s Republic of China. Descriptive statistic such as RTIs frequency, trends of different accident types from 2007 to 2016; the RTIs difference between different regions and road surfaces were compared; and the possible influencing factors of RTIs were also explored. Results Over the past decade, with the mileage of constructed highway increased, the frequency of road traffic accidents have declined substantially in China, and the death toll from road traffic accidents with motor vehicles has declined from 2007 to 2015, Conversely, the number of deaths from non-motor vehicle accidents has risen rapidly since 2012. Our study showed that the traffic accident related mortality in Guizhou province was different from the level of the whole nation, and the Eastern, Central and Western areas of China were all significantly different (P < 0.001). Linear regression suggested a significant affected of gross domestic product (GDP)-per-capita, education level, the number of health institutions, populations, and car ownership status on traffic accident death tolls (P < 0.001). Moreover, cement concrete pavement roads were associated with the highest occurrence rates of RTI, and RTIs was statistically significant (P < 0.001) on different road surfaces. Conclusion Even though the frequency of road traffic accidents has declined, RTIs remain an urgent public health problem in China. Thus, the government should give some target preventative measures to reduce RTIs, aiming at different regions, the increasing trend of the death toll related to non-motor vehicles and the highest occurrence on cement concrete pavement roads.
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Dissertations / Theses on the topic "Traffic accident statistics"

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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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White, David Ian. "An investigation of factors associated with traffic accident and casualty risk in Scotland." Thesis, Edinburgh Napier University, 2002. http://researchrepository.napier.ac.uk/Output/2782.

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An investigation was conducted to identify factors associated with traffic accident involvement and traffic casualty involvement of road users in Scotland. This was done to determine to what extent accident and casualty involvement are related, and so assist policy-makers in the allocation of scarce resources. Traffic accident involvement was identified for Scottish-resident vehicle drivers. Traffic casualty involvement was identified for vulnerable road users, particularly child pedestrians. Traffic accident rates were determined from information provided by approximately one thousand Scottish-resident drivers who completed an extensive questionnaire on driving behaviours. Their personal characteristics, socio-demographic data, and information on attitudes to road safety issues, were also provided. This broad investigation revealed that traffic accident involvement was found to be associated with personal characteristics, driving behaviour, and attitudes to road safety issues. There is no evidence of any area effect on accident involvement of Scottish drivers, in terms of the administrative area in which they live, the relative level of affluence/deprivation of the area, or the population density of the area. A detailed statistical analysis of STATS19 traffic accident data was conducted to determine casualty rates for different groups of road user in Lothian, Scotland, for the years 1991-97. This involved the development of a unique index of multiple deprivation suitable for both urban and rural areas. Traffic casualty rates were found to be positively associated with the level of deprivation and the population density at postcode sector level. Analysis of injury-accident data identified that personal characteristics are also associated with casualty involvement for children aged 0-15 years old. As with accident involvement, the influence of behavioural and attitudinal factors on casualty involvement needs to be examined. A significant finding from this study is that traffic accident risk and traffic casualty risk are not associated with the same factors. Place of residence is significant in determining casualty risk, but has no significant effect on accident risk. Implications from this research are discussed and suitable recommendations are made.
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Lin, Lei. "Data science application in intelligent transportation systems| An integrative approach for border delay prediction and traffic accident analysis." Thesis, State University of New York at Buffalo, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3683052.

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With the great progress in information and communications technologies in the past few decades, intelligent transportation systems (ITS) have accumulated vast amounts of data regarding the movement iof people and goods from one location to another. Besides the traditional fixed sensors and GPS devices, new emerging data sources and approaches such as social media and crowdsourcing can be used to extract travel-related data, especially given the wide popularity of mobile devices such as smartphones and tablets, along with their associated apps. To take advantage of all these data and to address the associated challenges, big data techniques, and a new emerging field called data science, are currently receiving more and more attention. Data science employs techniques and theories from many fields such as statistics, machine learning, data mining, analytical models and computer programming to solve the data analysis task. It is therefore timely and important to explore how data science may be best employed for transportation data analysis. In this doctoral study, an integrative approach is proposed for data science applications in ITS. The proposed approach constitutes to an integration of multiple steps in the data analysis process, or integration of different models to build a more powerful one. The integrative approach is applied and tested on two case studies: border crossing delay prediction and traffic accident data analysis.

For the first case study, a two-step border crossing delay prediction model is proposed, consisting of a short-term traffic volume prediction model and a multi-server queueing model. As such, this can be seen as an integration of data-driven models and analytical models. For the first step, the short-term traffic volume prediction model, an integration of data "width" decreasing (i.e., data grouping) step and model development step is applied. For model development, a model combination step of a Seasonal Autoregressive Integrated Moving Average Model (SARIMA) and Support Vector Regression (SVR) is applied to realize better performance than when using each single model. In addition, the spinning network (SPN) forecasting paradigm is enhanced for border crossing traffic prediction through the utilization of a dynamic time warping (DTW) similarity metric. The DTW-SPN is shown to yield several advantages such as computational efficiency and accuracy as demonstrated by a promising Mean Absolute Percent Error (MAPE) compared to SARIMA and SVR.

This dissertation also proposes the introduction of a data diagnosis step before short-term traffic prediction. In order to develop a methodology for model selection guidance, the author calculated the statistical measures of nonlinearity and complexity for multiple datasets and correlated those to the performances of multiple models SARIMA, SVR and k nearest neighbor (k-NN). Based on this, useful insights are revealed pertaining to parameter setting and model selection based on the data diagnosis results.

For the second step, namely the queueing model development, heuristic solutions are presented for two types of queueing models M/E K/n and BMAP/PH/n. These models take the predicted traffic volume as input, and use it to calculate future waiting time. The analytical results are compared to the results from a VISSIM model simulation results, and shown to be comparable. . Finally, an android smartphone app, which utilizes the two-step border prediction model methodology described above, is developed to collect, share and predict waiting time at the three Niagara Frontier border crossings.

For the second case study involving traffic accident data analysis, first an integration of a data "depth" decreasing step and a model development step is once again applied. To do this, the modularity-optimizing community detection algorithm is used to cluster the dataset, and for each cluster, the association rule algorithm is applied to yield insight into traffic accident hotspots and incident clearance time. The results show that more meaningful association rules can be derived when the data is clustered compared to when using the whole dataset directly. Secondly, an integration of a data "width" decreasing step (variable selection) and model development step is applied for real-time traffic accident risk prediction. For this, a novel variable selection method based on the Frequent Pattern tree (FP tree) algorithm is proposed and tested, before applying Bayesian networks and the k-NN algorithms. The experiment shows the models based on variables selected by FP tree always performed better than those using variables selected by the random forecast method. Lastly, an integration of the data mining model, M5P tree, and the hazard-based duration model (HBDM) statistical method is applied to traffic accident duration prediction. The M5P-HBDM method is shown to be capable of identifying more meaningful factors that impact the traffic accident duration, and to have a better prediction performance, than either M5P or HBDM.

The two case studies considered in this dissertation serve to illustrate the advantages of an integrative data science approach to analyzing transportation data. With this approach, invaluable insight is gained that can help solve transportation problems and guide public policy.

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Fiala, Jiří. "Vyhodnocení efektivity zásahů složek Integrovaného záchranného systému Jihomoravského kraje u dopravních nehod." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-233058.

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The aim of this thesis is to evaluate the efficiency interventions in traffic accidents of the integrated rescue system. The thesis contains the evaluation if changing the system can improve the effectiveness of operations leading to save lives, health, property and the environment or minimize adverse impacts which are caused by an accident. The evaluation of the capability of recording devices to clarify the causes of traffic accident and their applications in the forensic engineering are also described.
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Bexhorn, Johan, and Ninnie Tägtström. "Framtagning av en generisk databas för trafikdata : En analys av olycksbilden kring trafikplatser." Thesis, KTH, Transportplanering, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299037.

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Vid analyser och undersökningar av trafikrelaterade ämnen måste användaren själv lokalisera relevant och aktuell data. Det finns inte heller några garantier på att all nödvändig information går att kombinera på efterfrågat sätt. Detta ställer allt högre krav på kunskaper inom datahantering när det kommer till att skapa modeller och effektsamband för att förebygga olyckor i trafiken. Studiens mål är att undersöka om det är möjligt att kombinera olika data för att skapa en generisk databas som går att nyttja i arbeten med modeller och effektsamband för ökad trafiksäkerhet. Med denna generiska databas har olycksstatistiken för trafikplatser i Region Västmanland undersökts för att idenfitera bidragande orsaker till att olyckor sker. Studiens fokus har legat på arbetet med att ta fram och nyttja en generisk databas genom automatisk selektion av trafiktekniska element såsom trafikplatser. Genom insamling och anpassning av data från NVDB och STRADA har olika typer av analyser gjorts i programmen QGIS och R med syfte att hitta samband mellan olika attribut och trafikolyckor. Utöver detta har tre intervjuer genomförts med sakkunniga inom ämnesområdet.Resultatet som erhölls fann att det idag inte är möjligt att kunna skapa en generisk databas för trafikolyckor innehållande den stora mängd data som efterfrågas. Detta då utformningen av strukturen för den data som inkluderas behöver uppdateras och anpassas. Det saknas även tekniska kunskaper inom området för att automatisera den process som sökes. Gällande identifieringen av attribut som har korrelation med trafikolyckor blev resultatet att det inte gick att hitta statistiska samband med god signifikans. För trafikolyckor finns det en stor spridning och således är det svårt att hitta specifika samband mellan enskilda attribut och olyckor. Därför behövs fler trafikplatser integreras i databasen eller en mer utvidgad statisk analys.
In the analysis and investigation of traffic-related topics users must be responsible for locating relevant and current data. There are no guarantees that all necessary information can be combined in the requested way. This puts higher demand on knowledge in data management when it comes to preventing accidents in traffic. The aim of this study is to investigate the possibility to combine different data to create a generic database that can be used in work with road safety. With the help of this database, the accident statistics for traffic locations in Region Västmanland have been examined in an attempt to identify contributing causes of accidents. The focus has been on developing and using a generic database. By collecting and adapting data from NVDB and STRADA, different types of analyzes have been made in the programs QGIS and R, with the aim of finding connections between parameters and traffic accidents. In addition, three interviews were conducted with relevant experts. The result was that today it is not realistic to be able to create a generic database containing the large amount of information that is requested. It is because the structure of the data needs to be updated and adapted. But also because there is a lack of technical knowledge in the field to automate the process sought. The results showed that regarding the it was not possible to find statistical correlations with traffic accidents. The wide spread in traffic accidents make it difficult to find specific correlations between individual factors and accidents. Therefore the study suggests that more interchanges get integrated into the database or an extended statistical analysis of the current database.
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LIMA, Jéssica Nayara. "Acidentes nas rodovias federais pernambucanas: um estudo descritivo e exploratório." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/17207.

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Sendo os acidentes de trânsito um problema mundial, este estudo descreve e analisa os acidentes ocorridos nas rodovias federais do estado de Pernambuco, entre os anos 2007-2012. Para a análise dos resultados, utilizou-se como opções metodológicas a análise descritiva e exploratória, através da análise de correspondência simples e múltipla. Diante das análises exploratórias, deseja-se ampliar o conhecimento sobre as associações e configurações das ocorrências e de seus fatores envolvidos, traçando os perfis dos acidentes e dos condutores dos veículos. Entre os principais resultados encontrados, identificou-se que a BR-101 é a rodovia federal com maior número de acidentes no estado de Pernambuco, cerca de 45% do total de ocorrências. Além disso, os acidentes na rodovia transversal BR-104 mostraram-se fortemente relacionados com as ultrapassagens indevidas. Identificou-se o perfil do jovem, solteiro, do sexo masculino que ingeriu álcool, com nível médio de escolaridade que sofreu lesões graves, como um dos perfis que melhor explicam os condutores envolvidos nos acidentes nas rodovias federais pernambucanas. Os resultados evidenciaram, também, os principais perfis dos acidentes, entre eles estão as colisões laterais e traseiras, ocorridas na BR-101, pela manhã, ocasionadas por falta de atenção e por não guardar distancia de segurança. Portanto, as análises descritivas e exploratórias trazem mais compreensão acerca dos acidentes. Espera-se que este estudo seja visto como uma fonte de consulta do panorama da acidentalidade no estado de Pernambuco, e que seus resultados norteiem ações adequadas do poder público e da sociedade em geral, a fim de prevenir e mitigar os transtornos causados pelos acidentes.
Since traffic accidents are a global problem, this present study describes and analyzes the accidents that occurred on Federal highways, in Pernambuco state, between the years 2007- 2012. In an effort to analyze the results, it was used as methodological options the descriptive and exploratory analysis, by the simple and multiple correspondence analysis. Given the exploratory analysis, it is needed to learn more about the associations and set of the occurred accidents, as well as its causes involved, mapping the profiles of accidents and drivers of vehicles involved. Among the main results found, the BR-101 is the Federal highway with the greatest number of accidents in the state of Pernambuco, it is about 45% of the total events. In addition, the accidents on the BR-104 cross highway showed strongly related to the undue overtaking. The identified profile as young, single, male, who has ingested alcoholic beverage, who is high school level and has suffered severe injuries is the one who best explains drivers involved in accidents in the Federal highways of Pernambuco. The results showed the main accident particulars as well: side and rear collisions, occurred on the BR-101, in the morning, due to the lack of attention and by not keeping safety distance. Therefore, the descriptive and exploratory analysis bring more comprehension upon the accidents. It is expected to this study to be seen as an inquiry source by the accident rate prospect in Pernambuco state, and its results to guide government and society to appropriate actions in order to prevent and mitigate the issues caused by these accidents.
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Skanderová, Valentýna. "Analýza rychlosti cyklistů ve věkové kategorii 4 až 10 let." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232644.

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The diploma thesis Cyclists speed analysis at the age bracket of 4 to 10 deals with history and origin of bicycle, description and types of the contruction of bicycles for children at the age bracket mentioned above. The thesis includes the statistics of accidents involving cyclists and regulations providing for the ride on a bicycle on a carriageway. The practical part includes measuring cyclists speed when passing a measured section and the analysis of these data. The analysis of data is processed in terms of gear systems as the equipment. Complementary measuring was made in a slight rising. In the second part of the practical part is measured braking of cyclists at a particular age bracket and the evaluation of their deceleration. The conclusion includes comparison with measuring of other authors made so far.
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Yau, C. P. Eric. "Using GIS and statistical models for traffic accidents analysis : a case study of the Tuen Mun town centre." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37639110.

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Cameron, Maxwell Hugh 1943. "Statistical evaluation of road trauma countermeasures." Monash University, Dept. of Mathematics and Statistics, 2000. http://arrow.monash.edu.au/hdl/1959.1/7943.

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Wu, Chi-Hung Evelyn. "Causal analysis of highway crashes : a systematic analysis approach with subjective and statistical methods." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/20030.

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Books on the topic "Traffic accident statistics"

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

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

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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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Cornwall, County Council Planning Transportation and Estates. Traffic and accidents in Cornwall: Annual report of traffic and accident statistics. Truro: Cornwall County Council, 2001.

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Cornwall County Council. Surveyor's Department. Traffic and accidents in Cornwall: Annual report of traffic and accident statistics. Truro: Cornwall County Council, 1997.

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Book chapters on the topic "Traffic accident statistics"

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Summala, Heikki. "Behavior and Risk Typology: Disaggregation of Accident Statistics and Behavior." In Transportation, Traffic Safety and Health — Human Behavior, 117–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57266-1_8.

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Vadhwani, Diya, and Devendra Thakor. "Statistical Analysis of Vehicle Detection in the ITS Application for Monitoring the Traffic and Road Accident Using Internet of Things." In Lecture Notes in Electrical Engineering, 55–70. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6229-7_5.

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Vadhwani, Diya, and Devendra Thakor. "Comparative Analysis of Statistical Methods for Vehicle Detection in the Application of ITS for Monitoring Traffic and Road Accidents Using IoT." In Lecture Notes on Data Engineering and Communications Technologies, 355–61. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4474-3_39.

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Santos-Reyes, Jaime, and Diego A. Padilla Perez. "Temporal Accident Trends of Bus Rapid Transit Line 1 in Mexico City." In Advances in Logistics, Operations, and Management Science, 159–77. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8040-0.ch007.

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The chapter presents the results of historical accident data on BRT L1 that have occurred in Mexico City from 2015-2020. Some of the key findings were the following: 1) A total of 1,769 accidents have occurred in the period of analysis (2015-2020); the most critical years in terms of the frequency of accident occurrence have been 2016 (27%) and 2019 (21.2%), and as expected, the least critical year was 2020 (7.1%). 2) The most critical seasons of the year have been the following: spring (27.1%) and summer (26.5%); the less critical seasons were winter (23.2%) and autumn (23.1%). 3) The results also highlighted that accident occurrence decreases sharply at the weekends (15.8%). The main conclusion of the analysis is that 64% of accidents occurred during peak hours causing traffic congestion and negative effects on health and to the environment. More research is needed to incorporate data from 2014 to 2020 for the case of the other six existing BRT lines. Further, some relevant statistical significance tests on the data are needed.
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Gorman, Sara E., and Jack M. Gorman. "Risk Perception and Probability." In Denying to the Grave. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780199396603.003.0010.

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Each day, when you take your morning shower, you face a 1 in 1,000 chance of serious injury or even death from a fall. You might at first think that each time you get into the shower your chance of a fall and serious injury is 1 in 1,000 and therefore there is very little to worry about. That is probably because you remember that someone once taught you the famous coin-flip rule of elementary statistics: because each toss is an independent event, you have a 50% chance of heads each time you flip. But in this case you would be wrong. The actual chance of falling in the shower is additive. This is known in statistics as the “law of large numbers.” If you do something enough times, even a rare event will occur. Hence, if you take 1,000 showers you are almost assured of a serious injury—about once every 3 years for a person who takes a shower every day. Of course, serious falls are less common than that because of a variety of intervening factors. Nevertheless, according to the CDC, mishaps near the bathtub, shower, toilet, and sink caused an estimated 234,094 nonfatal injuries in the United States in 2008 among people at least 15 years old. In 2009, there were 10.8 million traffic accidents and 35,900 deaths due to road fatalities in the United States. The CDC estimates a 1-in-100 lifetime chance of dying in a traffic accident and a 1-in-5 lifetime chance of dying from heart disease. But none of these realities affect our behaviors very much. We don’t take very many (if any) precautions when we shower. We text, eat, talk on the phone, and zone out while driving, paying little attention to the very real risk we pose to ourselves (and others) each time we get in the car. And we keep eating at McDonald’s and smoking cigarettes, completely disregarding the fact that these behaviors could eventually affect our health in extreme and fatal ways. On the other hand, there is zero proven risk of death as a result of the diphtheria- tetanus- pertussis (DTP) vaccine.
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Conference papers on the topic "Traffic accident statistics"

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Song, Yonggang, Xingqiang Zhang, Ying Wang, Shan Zhu, Xin Wang, and Xueyuan Wang. "VISSIM Simulation Parameter Correction of Expressway Capacity under Traffic Accident." In 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ammsa-17.2017.8.

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Song, Junxian, Rong Wen, and Wenjing Yan. "Identification of Traffic Accident Clusters using Kulldorff’s Space-Time Scan Statistics." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622226.

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Teixeira, A. P., and C. Guedes Soares. "Risk of Maritime Traffic in Coastal Waters." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77312.

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This paper addresses the broad aspects of safety of maritime transportation from the identification to the management of risks related particularly to the maritime traffic in coastal waters. A brief overview of present-day maritime accident statistics are presented and the methodologies that have been adopted in the maritime sector to analyze ship accidents are reviewed. The paper also reviews the models and tools that have been used for simulation of ship navigation and for accident probability prediction based on Automatic Identification System (AIS) data and the analysis and modelling of the influence of human and organisational factors on ship accidents. The development of maritime risk models based on Bayesian Networks and the various elements that influence an effective response to maritime accidents are also addressed.
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Chen Lei and Xu Nuo. "Analyzing Method of Traffic Accident Causation through Experts Method and Statistics Analysis." In 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2013). IEEE, 2013. http://dx.doi.org/10.1109/icmtma.2013.71.

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Jeong, Yong woo, Hyeok ku Kwon, Tae hwa Jeong, and Kyungwoo Kang. "A Comparative Study about the Traffic Accident Statistics and the Risk Perceptions among South Korea, Japan and the United States." In International Conference on Traffic and Transportation Studies (ICTTS) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40630(255)154.

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Tabri, Kristjan, Sören Ehlers, Mihkel Kõrgesaar, Kaarle Ståhlberg, and Martin Heinvee. "Collision Consequence Assessment of ROPAX Vessels Operating in the Baltic Sea." In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83626.

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A Ship collision accident represents a daily threat for vessels operating in dense traffic zones. The collision consequences may include loss of life or severe injuries if passengers are on board. The latter would be the case for ROPAX vessels, which are fairly dominant in the Baltic Sea connecting various member states. Furthermore, their routes tend to be in cross-traffic with the cargo vessels travelling through the full extent of the Baltic Sea. Therefore, it is of utmost importance to be able to assess the collision consequences for ROPAX vessels operating in the Baltic Sea with sufficient accuracy. This will result in an overview of possible damage scenarios for the actual traffic situation at a given location. As an example location the dense cross traffic between Helsinki and Tallinn will be analyzed and discussed. The analysis procedure combines three steps: (1) determination of possible accidental scenarios based on traffic statistics; (2) assessment of the structural resistance of the colliding ship and (3) the evaluation of selected accidental scenarios using a time-efficient semi-analytical approach. The level of structural resistance of the chosen ships is assessed in a quasi-static manner using finite element method. This information is the basis for the calibration of a semi-analytical collision simulation model used to simulate large number of the accidental scenarios typical to the selected location. The presented results will be limited to the initial choice between vessels and dimensions, respectively masses, but the procedure can easily be extended to cover a vast amount of colliding vessels. However, the actual collision risk can be obtained using the presented results if the traffic along the vessels route is known.
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Jiangang, Zhang, Li Guoqiang, Wang Renze, Sun Hongchao, Zhuang Dajie, Sun Shutang, and Meng Dongyuan. "Experiences on Radioactive Materials Safe Transport in CIRP." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82009.

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The safety of radioactive material transport is regulated by graded approach in China. National requirements on container design, manufacture and shipment are different for the three categories material. Packages of different categories shall be experienced different test to demonstrate their ability to withstand transport normal transport conditions and accident conditions depending on their contents. China Institute for Radiation Protection (CIRP) established free drop test facilities, thermal test facilities, water immersion test facilities and relevant measurement means. CIRP has carried out tests of 18 radioactive material transport packages, and accumulate a lot of experiences about the limit unit analysis, test scheme, test process, monitoring and data treatment. Probabilistic safety assessment method and traffic accident statistics in China are carried out in the recent years by CIRP.
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Liu, Yisi, Xiyuan Hou, Olga Sourina, Dimitrios Konovessis, and Gopala Krishnan. "Human Factor Study for Maritime Simulator-Based Assessment of Cadets." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54772.

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Maritime accident statistics show that the majority of accidents/incidents are attributed to human errors as the initiating cause. Some studies put this as high as 95% of all accidents (collision, grounding, fire, occupational accidents, etc). The traditional way to investigate human factors in maritime industry is the statistical analysis of accident data. Although this analysis can provide key findings, it cannot capture the causal relationship between performance shaping factors and human performance in the everyday routine work, and is not suitable to be used in the individual assessment of cadets. To reveal the effects of human factors in maritime and assess the performance of cadets, a full-mission simulator is widely used. Different scenarios such as bad weather, day and night environment, different traffic load, etc. can be simulated. The fine details of the cadet performance can be recorded in the simulator during the assessment. As a result, other than performance failure, the near misses can also be detected. Additionally, a number of cadets can go through the same scenarios at the same time and between-subjects comparison is enabled. Besides the operations recording provided by the simulator, biosignal-based tools can additionally help in the human factors study in maritime. The existing methods include palmer perspiration, electrocardiography, etc. However, the psychophysiological states that can be recognized by these methods are limited. Electroencephalogram (EEG) biosignals can be used to directly assess the “inner” mental states of subjects. Nowadays, since the EEG devices become portable, easy to setup, and affordable in price, EEG-based tools can be used to assess psychophysiological state of subjects. Using the sensors during performing the task we can recognize the cadet/captain’s emotions, attentiveness/concentration, mental workload, and stress level in real time. In this work, we propose a real-time brain state recognition system using EEG biosignals to monitor mental workload and stress of cadets during simulator-based assessment. Currently, the proposed and implemented system includes stress and mental workload recognition algorithms. The EEG-based mental state monitoring can reflect the true “inner” feelings, stress level and workload of the cadets during the simulator-aided assessment. The time resolution is up to 0.03 second. As a result, we can analyze the recognized brain states and the corresponding performance and behavior recorded by the simulator to study how human factors affect the subject’s performance. For example, we can check is there any correlation of the cadet’s stress level and performance results. Finally, the proposed EEG-based system allows us to assess whether a cadet is ready to perform tasks on the bridge or needs more training in the simulator even if he/she navigated with few errors during the assessment.
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Pashkevich, Maria, Anna Krasilnikova, and Dago Antov. "Method for Pedestrian Crossing Risk Assessment and Safety Level Determination: the Case Study of Tallinn." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4124.

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Pedestrians are a part of vulnerable road users which safety requires a special attention. Official statistics in Estonia from the last decade returns the following numbers: around 30 % of all road traffic accidents in the country were accidents with pedestrians, 32 % of all traffic fatalities were finished with pedestrian death. Pedestrian crossing has the biggest risk level between all kinds of pedestrian facilities, because it includes a direct conflict point between vehicle and pedestrian traffics. The article presents a method to assess risk of pedestrian crossing users and to determine safety level of this road infrastructure element. This approach is based on observation and collection of infrastructural as well as traffic data, which includes: (1) information about each pedestrian crossing facility, its location and state, (2) data about accidents with pedestrians and their features, (3) data from road traffic measurements. The main advantages of the described method are universality and comprehensiveness. The case study was done in Kristiine district of the city Tallinn, which was chosen as the most typical average district of Estonian capital. Results of this study are also presented in the article.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4124
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Li, Fangyuan, Dawei Hu, and Jing Cao. "Statistical Modeling of Grievous Road Traffic Accidents." In The Twelfth COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.228.

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