Relevant bibliographies by topics / Traffic accident rate

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

Academic literature on the topic 'Traffic accident rate'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Traffic accident rate"

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Zielińska, Edyta. "Assessment of the rate of accidents on Polish roads." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 24, no. 6 (June 30, 2019): 100–105. http://dx.doi.org/10.24136/atest.2019.133.

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The content of the article consists of information on the rate of road accidents on Polish roads in 2016 -2018. Moreover, it presents data about effects of accident rate in our country, i.e. information about casualties of such traffic accidents, resulting in death or injury. The major causes of the accident rate were listed such as failure to yield the right of way, speeding and driving under influence of alcohol. Additionally, this paper shows how the situation regarding traffic accidents and accident casualties developed in the largest Polish city in the recent years.
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Wang, Chen, Kai Du, Yin Li Jin, and Ling Yun He. "Han Ning Highway Traffic Accident Spatio-Temporal Analysis." Applied Mechanics and Materials 135-136 (October 2011): 560–64. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.560.

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Collecting the traffic accidents data of Han Ning highway in 2008, 2009 and 2010 three years, through two aspects of time and space to do statistical analysis and data mining of the traffic accidents of this highway. The result of the analysis is that accident rates have a certain relevance to time and space. From the time perspective, holidays and vacation days are accident high-risk days. From the space perspective, accident rate in the ascent and in the downhill are higher than on the straight road, cars go straight have a higher accident rate than in the corners, traffic accident rate in single-km single-lane tunnel is higher than outside the tunnel. Through the time and space distribution rule of the traffic accident, educating traffic participants follow the time and space distribution rule to restrict their behavior. Educating traffic managers obey the time and space distribution rule of traffic accident to adopt targeted management measures and engineering measures. Both of these two aspects have very important significance in reducing traffic accidents.
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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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Deme, Debela. "Road Traffic Accident in Ethiopia from 2007/08-2017/18." American International Journal of Sciences and Engineering Research 2, no. 2 (June 14, 2019): 49–59. http://dx.doi.org/10.46545/aijser.v2i2.90.

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Traffic accident increased periodically in alarming rate and it was a serious problem throughout the globe particularly in developing countries like Ethiopia. This research concerns on Analyzing Road Traffic Accident in Ethiopia from 2007/08-2017/18. The main objective of the study was to investigate the growth rate of road traffic accident, road network coverage and motorized vehicle, and relationship between them in the past elven (11) year. In order to address the required objective the study use secondary data collected from Ethiopia federal police commission, Ethiopia road authority and Ethiopia federal transport authority. Basically, descriptive and inferential statistical analysis approach was used to analyze the data. The finding of the study revealed that; in the past eleven year more than 291577 Road traffic accident, 912956km road network and 681000 motorized vehicles were developed. Due to Road traffic accident Ethiopia loses around 36.3 billion birr (estimated 1.3 billion $ in current exchange rate of 28 birr for 1$) in the past eleven (11) year in Ethiopia. In average annually Ethiopia loses around 0.9% of budget due to traffic accident in the past eleven year. Average annual growth rate of road traffic accident, road network development and motorized vehicle were 9.16%, 10.81% and 13.34% respectively. In Ethiopia in the past eleven (11) years more than 276491 road traffic accidents, 912956km road network and 681000 number of motorized vehicle were newly introduced since 2007/08 in the study period. The variation on road traffic accident, road network coverage in km and motorized vehicle between commencement of study period (2007/08) or Ethiopia millennium (2000E.C) with end of the study period (2017/18) were estimated around 25914, 82414 and 563003 respectively. Finally, the study intend that road traffic accident had no direct or indirect relation with growth of motorized vehicle and road network coverage in Ethiopia. To curb the problem faced due to road traffic accident the government and other stakeholder must careful the issues to minimize road traffic accidents in Ethiopia.
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Suthanaya, Putu Alit. "Analysis of Fatal Accidents Involving Motorcycles in Low Income Region (Case Study of Karangasem Region, Bali-Indonesia)." International Journal of Engineering Research in Africa 19 (October 2015): 112–22. http://dx.doi.org/10.4028/www.scientific.net/jera.19.112.

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Karangasem region is the lowest income region in Bali Province-Indonesia. The people are highly dependent on using motorcycle for their daily movement. Karangasem has a high fatality rate of traffic accidents. There are 190 cases of the traffic accident and causing the death of 140 people. The number of accidents involving motorcycles are 172 cases. The objective of this study is to investigate factors that influence fatal traffic accidents involving motorcycles. This study used traffic accident data over 6 years period from 2007-2012 and applied logistic regression. It was found that there are four variable significantly affect accident fatality at 95% confidence level, i.e. accident location, collision type, violation type, and age.
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Retallack, Angus Eugene, and Bertram Ostendorf. "Relationship Between Traffic Volume and Accident Frequency at Intersections." International Journal of Environmental Research and Public Health 17, no. 4 (February 21, 2020): 1393. http://dx.doi.org/10.3390/ijerph17041393.

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Driven by the high social costs and emotional trauma that result from traffic accidents around the world, research into understanding the factors that influence accident occurrence is critical. There is a lack of consensus about how the management of congestion may affect traffic accidents. This paper aims to improve our understanding of this relationship by analysing accidents at 120 intersections in Adelaide, Australia. Data comprised of 1629 motor vehicle accidents with traffic volumes from a dataset of more than five million hourly measurements. The effect of rainfall was also examined. Results showed an approximately linear relationship between traffic volume and accident frequency at lower traffic volumes. In the highest traffic volumes, poisson and negative binomial models showed a significant quadratic explanatory term as accident frequency increases at a higher rate. This implies that focusing management efforts on avoiding these conditions would be most effective in reducing accident frequency. The relative risk of rainfall on accident frequency decreases with increasing congestion index. Accident risk is five times greater during rain at low congestion levels, successively decreasing to no elevated risk at the highest congestion level. No significant effect of congestion index on accident severity was detected.
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Al-Mansour, Abdullah I. "Effects of Pavement Skid Resistance on Traffic Accidents." Journal of Engineering Research [TJER] 3, no. 1 (December 1, 2006): 75. http://dx.doi.org/10.24200/tjer.vol3iss1pp75-78.

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The Ministry of Transport (MOT) in the Kingdom of Saudi Arabia had collected a massive amount of friction measurements using a Mu-meter covering most of the major highway network in the kingdom. Traffic accident data of 89 high accident rate locations from four main different highway classes were extracted from the MOT accident records. Pavement skid resistance for the selected locations was determined from the pavement skid resistance records. The objective of this paper is to utilize these data to investigate the effects of pavement skid resistance on traffic accidents. The analysis included establishing relationships between skid resistance and accident number, accident significance and accident density. It was determined that a decreasing skid resistance leads to an increase in traffic accidents. Acritical value of skid resistance was also established based on number, significance and density of accidents.
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Chen, Zhijun, Jingming Zhang, Yishi Zhang, and Zihao Huang. "Traffic Accident Data Generation Based on Improved Generative Adversarial Networks." Sensors 21, no. 17 (August 27, 2021): 5767. http://dx.doi.org/10.3390/s21175767.

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For urban traffic, traffic accidents are the most direct and serious risk to people’s lives, and rapid recognition and warning of traffic accidents is an important remedy to reduce their harmful effects. However, research scholars are often confronted with the problem of scarce and difficult-to-collect accident data resources for traffic accident scenarios. Therefore, in this paper, a traffic data generation model based on Generative Adversarial Networks (GAN) is developed. To make GAN applicable to non-graphical data, we improve the generator network structure of the model and used the generated model to resample the original data to obtain new traffic accident data. By constructing an adversarial neural network model, we generate a large number of data samples that are similar to the original traffic accident data. Results of the statistical test indicate that the generated samples are not significantly different from the original data. Furthermore, the experiments of traffic accident recognition with several representative classifiers demonstrate that the augmented data can effectively enhance the performance of accident recognition, with a maximum increase in accuracy of 3.05% and a maximum decrease in the false positive rate of 2.95%. Experimental results verify that the proposed method can provide reliable mass data support for the recognition of traffic accidents and road traffic safety.
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Abdul Kudus Zaini and Said Muhammad Fuad Hasyim. "Analysis of Traffic Accident Charachteristic In Rimbo Panjang-Bangkinang Road, Kampar District, Riau Province." International Journal of Science, Technology & Management 2, no. 3 (May 27, 2021): 542–49. http://dx.doi.org/10.46729/ijstm.v2i3.213.

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Kampar is a district in Riau Province which has 841.332 people. (BPS : 2019). As long as the society’s growth over Kampar District, the need of transportation system is also increased, which makes accidents number increased every year. By the term of condition, some handling operations are needed to know the capacity and rank of accident-prone areas to reduce traffic accidents. This study used secondary data from local police agency by accidents data from 214-2018. Data were analyzed to count the accident-prone areas. The total numbers of accident rate was on Jalan Rimbo Panjang-Bangkinang with the total 53 accidents. There were 99 victims of whom 18 people wee died, 32 people were seriously injured and 49 were slightly injured. It observed by Blacks Spot and Black Site methods. Based on Accident rate, roads on Rimbo Panjang-Bangkinang were identify by Accident Rate 0,399. Sei Tiarap-Kampar Village on Accident Rate 0,233 and Penyesawan Village – Air Tiris by Accident Rate 0,233 And Clack Site 0,133 for Padang Mutung-Village-Penyesawan Village. 0,116 for Sei Tiarap – Kampar Village and 0,033 for Penyesawan-Air Tiris. The conclusion is there are three accident-prone areas from thirteen locations, which makes handling and addition of facilities and infrastructure should be done, as well as development of traffic discipline of road users.
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Fariska, Debi, and Sri Wiwoho Mudjanarko. "ANALYSIS OF TRAFFIC ACCIDENTS IN THE DISTRICT GRESIK (Case Study: Road Duduksampeyan Sta km 16 + 000 - Sta km 16 + 500)." IJEEIT : International Journal of Electrical Engineering and Information Technology 3, no. 2 (October 1, 2020): 1–7. http://dx.doi.org/10.29138/ijeeit.v3i2.1157.

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Traffic accident is an accident that occurs unexpectedly and unintentionally involving a vehicle which resulted in casualties and material damage. The problem of traffic accidents on the road Duduksampeyan Sta km 16 + 000 - Sta km 16 + 500 is the most significant. The purpose of this study was conducted to determine the level of traffic accidents that occurred in 2013-2018. This study uses a method that refers to the calculation of the number of accidents. The observations in the field of road safety facilities are still inadequate, lighting is in only one side of the road as much as ± 10 pieces, and the absence of traffic signs (speed limits, accident-prone areas, etc.). The volume of daily traffic averages on these roads as much as 3833 veh / hour. The results of the analysis carried accident rate by 158 the highest annual accident / km occurred in 2018. Meanwhile, based on the fatality index, it was 47.76%, the highest in 2013.
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Dissertations / Theses on the topic "Traffic accident rate"

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VASISHT, GAURAV. "MODELING BASE ACCIDENT RATE/DENSITY USING NEURAL NETWORKS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037645154.

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Johansson, Sofia, and Sri Vasireddy. "Analysis of Mobility and Traffic Safety with Respect to Changes in Volumes; Case Study: Stockholm, Sweden." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177780.

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The growing population and motorization generate more movements. In many cities, the increase of population and motorization is much greater than the development of the capacity of the transportation network. For unprotected road users, the risk of getting in a traffic accident increases and the risk of being more severely injured in an accident. In March 2020, a pandemic was declared because of a Coronavirus. More people started to work/study from home to prevent the virus from spreading by avoiding unnecessary trips, gatherings, and crowded areas. Therefore, travel behaviours have shifted during the pandemic compared to previous years. This project aims to get knowledge of how mobility and traffic accidents are affected by significant shifts of travel flow, predict the effect of traffic accidents based on mobility, and evaluate the risk of travelling on a particular road segment.

Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet

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Macías, Guillermo Raúl. "A complexidade da situação epidemiológica dos acidentes de trânsito." Programa de pós-graduação em Saúde Coletiva, 2009. http://www.repositorio.ufba.br/ri/handle/ri/10290.

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Objetivo: analisar o perfil sócio-demográfico dos óbitos por Acidentes de Trânsito (AT) de residentes no Município de Lanús (Província de Buenos Aires, Argentina) entre os anos 1998 e 2004. Material e Método: se realizou um estudo epidemiológico descritivo, utilizando dados oficiais de mortalidade da Argentina. Foram estudados os óbitos por AT segundo residência e ocorrência, codificados pela CID-10. As variáveis analisadas foram idade, sexo, nível educativo e condição de atividade. Foram utilizados dados econômicos para avaliar e comparar Lanús com os outros Municípios do Gran Buenos Aires, em termos dos coeficientes de mortalidade por AT. Foram realizadas análises uni e bivariadas, e calculada a Mortalidade Proporcional (MP) e a Razão de Mortalidade Proporcional (RMP). Realizou-se georreferenciamento dos óbitos segundo local de residência e de ocorrência da morte para avaliar a distribuição geográfica. Resultados: O perfil epidemiológico é composto principalmente por homens entre 20 e 29 anos, indivíduos com nível educativo primário completo (ou secundário incompleto) e que trabalhavam. Mais da metade deles era ocupante de veículo. O risco dos homens foi quase 3,5 vezes maior que as mulheres e, entre eles, os mais idosos apresentam as maiores incidências. Os analfabetos ou aqueles com formação primária incompleta possuem risco baixo, quase igual as das pessoas com nível educativo superior. A MP em Lanús é menor quando comparada com os Municípios do Gran Buenos Aires. Lanús aparece junto aos municípios que apresentam alta atividade comercial e menores taxas de óbitos. A respeito da georreferência, os achados mostram que os AT atingem mais a população que mora em locais com piores condições socioeconômicas. Conclusões: O município de Lanús apresenta um perfil de mortalidade por AT semelhante ao dos países desenvolvidos. A combinação de técnicas se apresenta como uma alternativa interessante para trabalhar com dados secundários, em pequenas áreas e com números pequenos. Esta pesquisa fornece aportes para a intervenção sobre os problemas ligados aos AT no nível individual e local. Destaca-se a necessidade de contar com estudos mais abrangentes, abordando o problema desde outros enfoques metodológicos.
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Narkevič, Natalija. "ES ir NVS šalių eismo saugumo politika, sprendžiant kelių eismo įvykių ir „juodųjų dėmių“ problemas: Lietuvos ir Rusijos atvejai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140603_133611-08071.

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Magistro baigiamajame darbe nagrinėjama ES ir NVS kelių eismo saugumo politika, sprendžiant kelių eismo įvykių ir “juodųjų dėmių” problemas. Pasirinkti Lietuvos ir Rusijos atvejai. Pirmoje dalyje aptarta avaringumo problema šiuolaikiniame pasaulyje, pateikti statistiniai duomenys apie kelių eismo įvykiuose žuvusių žmonių skaičių ES ir NVS valstybėse, aptartos prevencinės priemonės, nurodytos kelių eismo įvykių ir „juodųjų dėmių“ atsiradimo priežastys Lietuvos ir Rusijos keliuose, pateiktos „juodųjų dėmių“ sąvokos bei jų nustatymo metodikos. Antroje dalyje nagrinėjami ES kelių transporto ir eismo saugumo reguliavimo teisiniai aspektai, nagrinėjami Lietuvos ir Rusijos svarbiausi kelių eismo saugumą reguliuojantys teisės aktai, analizuojama institucijų veikla bei finansavimas.
The master’s thesis covers the road safety policy of the EU and the CIS countries in solving the problems of road traffic accidents and “accident black spots”. The Lithuanian and Russian cases have been selected. Part One covers the discussion of the accident rate problem in a modern world, presentation of statistical data on the number of people, who died during the road traffic accidents in the EU and the CIS states, discussion of preventive measures, indication of the causes of road traffic accidents and “accident black spots” on Lithuanian and Russian roads, presentation of “accident black spots” terms as well as their identification methods. Part Two covers the analysis of legal aspects of the EU road transport and road safety regulation, fundamental legal acts governing traffic safety of Lithuania and Russia, as well as activities and financing of institutions.
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Klimešová, Barbora. "Metody odhadu rizik a hodnocení dopravních havárií." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-232758.

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The aim of the thesis is to research the methodological approaches used for reducing traffic accidents. One part of the methods is focused on methods of evaluating traffic accident rate on roads in terms of macro-analysis. Another group of methods for the prediction of traffic accidents. Subsequently, in the practical part the methodology is applied on two selected sections of roads and the resulting values are then compared with the actual dates that can explanatory power of these methods. Another part relates to the economic evaluation of road accidents on selected sections of roads and applications of integral indicators.
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Suchá, Klára. "Specifické podmínky účasti motocyklů v silničním provozu." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-232561.

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Abstract The main theme of this thesis is to discuss the specific conditions of motorcycles participation in traffic. Primarily the author of the processing of statistical data relating to road traffic accidents found the most frequent causes leading to the accident of motorcycles, set out a list of typical hazardous situations and provide an opportunity to prevent them, respectively propose the concrete steps for their reduction, while visual processing is done using by the Virtual CRASH software. Secondarily, it is then processed an overview by modern elements of active and passive safety of motorcycles and their effect on the reduction of traffic accidents, or reduce health risks as the consequences of road traffic accidents. Statistical data are then confronted with the subjective perception of participation in traffic, concretely with motorcycle riders. Their opinions are interpreted by the most frequent responses from the questionnaires, the results are included in the last part of this thesis. The objective of this work is in the comparison of both perspectives - statistical data and the opinions of motorcyclists - about the traffic situation in the Czech Republic. The result of this work is the more realistic view on the issue.
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Soukup, Tomáš. "Řešení křižovatky 1. máje a Palackého v Moravských Budějovicích." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-409825.

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This thesis deals with the solution of the crossroads of the 1st Máje and Palackého in Moravské Budějovice. Part of the work is security inspection, calculation of uncontrolled intersection capacity, traffic survey. The findings are applied to possible solutions of crossing of the 1st Máje and Palackého in Moravské Budějovice.
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Jalůvková, Denisa. "Bezpečnostní inspekce vybraných lokalit v Moravskoslezském kraji." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-409812.

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This diploma thesis presents safety inspection in selected localities in the Moravian-Silesian Region. Ten sections and ten intersections from rural area were selected for an accident rate analysis at first. These locations were compared on the basis of accident rate analysis and accident indicators. After that, were selected three sections and three intersections for a safety inspection. The safety inspection included a visual inspection and risk identification. For all identified risks were proposed a possible solutions.
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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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Ismail, Abeer. "Intérêt de la variabilité du rythme cardiaque comme marqueur de risque." Phd thesis, Université du Droit et de la Santé - Lille II, 2012. http://tel.archives-ouvertes.fr/tel-00840217.

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La variabilité du rythme cardiaque " Heart Rate Variability (HRV) " consiste en des fluctuations perpétuelles du rythme cardiaque autour de sa fréquence moyenne. L'analyse de l'HRV constitue un biomarqueur du fonctionnement du système nerveux autonome (SNA), par l'intermédiaire de ses effets sur le cœur. De nombreuses études ont montré qu'une diminution de l'HRV est associée à un pronostic péjoratif, notamment dans le post infarctus et dans l'insuffisance cardiaque (IC). Nous nous sommes proposés d'élargir le champ d'investigation de l'HRV à de nouveaux domaines d'application, qu'il s'agisse de pathologies cardiaque ou extra cardiaque. Nous avons ciblé des contextes pathologiques dans lesquels le SNA joue un rôle important : 1-Accidents sur la Voie Publique (AVP) et le risque de développement d'un syndrome de stress post traumatique (PTSD). 2-Effet de la douleur et de l'analgésie péridurale sur l'HRV maternelle au cours de l'accouchement. 3-Lien avec les polymorphismes génétique des récepteurs bêta adrénergiques (β;-AR) chez des patients présentant une dysfonction ventriculaire gauche et implanté d'un défibrillateur automatique implantable (DAI) en prévention secondaire. L'analyse temporelle de l'HRV sur 24 heures est un facteur prédictif de survenue d'un PTSD et aussi de sa sévérité chez les victimes d'AVP. L'indice de variabilité est le meilleur paramètre prédictif de PTSD à 6 mois, avec une aire sous la courbe de 0.92 (IC 95% : 0.785; 1.046). Le seuil de 2.19% confère une sensibilité de 85,7 £ et une spécificité e 81.8 % pour prédire la survenue d'un PTSD. les valeurs prédictives positives et négatives sont de 75 % et 90 % respectivement. L'ANI, reflétant l'influence de la ventilation sur le rythme cardiaque, permet une mesure objective de la douleur chez les parturientes. Enfin, les patients ayant subi les substitutions Arg (pour Gly) en 16 et Gln (pour Glu) en 27 pour les récepteurs β2-AR, présentent une HRV plus faible que les patients ayant la forme sauvage du gène.
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Books on the topic "Traffic accident rate"

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Wilmot, Chester. Effect of speed limit increase on crash rate on rural two-lane highways in Louisiana. Baton Rouge, La: Louisiana Transportation Research Center, 2006.

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Downes, J. D. Road casualty rates and costs for London. Crowthorne, Berkshire: Transport and Road Research Laboratory, 1987.

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Downes, J. D. Road casualty rates and costs for London. Crowthorne, Berks: Transport and Road Research Laboratory, Safety andTransportation Group, Special Research Branch, 1987.

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Cerrelli, Ezio C. Crash data and rates for age-sex groups of driver, 1990. [Washington, D.C.] (400 7th St., S.W., Washington 20590): [National Center for Statistics & Analysis, Research & Development, 1992.

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Viard, Jean, and Pascal Delannoy. Contre la barbarie routière: Une enquête. La Tour d'Aigues: Aube, 2002.

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Utter, Dennis. State alcohol related fatality rates. [Washington, D.C.]: National Center for Statistics and Analysis, Advanced Research and Analysis, 2002.

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Motumah, Linus Kiambati. An evaluation of collision rate trends on daylight headlight sections in California. [Sacramento]: California Dept. of Transportation, 1996.

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Subramanian, Rajesh. State alcohol related fatality rates 2002. [Washington, D.C.]: U.S. Dept. of Transportation, National Highway Traffic Safety Administration, National Center for Statistics and Analysis, Advanced Research and Analysis, 2003.

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Subramanian, Rajesh. State alcohol related fatality rates 2002. [Washington, D.C.]: U.S. Dept. of Transportation, National Highway Traffic Safety Administration, National Center for Statistics and Analysis, Advanced Research and Analysis, 2003.

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Subramanian, Rajesh. State alcohol related fatality rates, 2003. Washington, D.C: Mathematical Analysis Division, Office of Traffic Records and Analysis, National Center for Statistics and Analysis, National Highway Traffic Safety Administration, U.S. Department of Transportation, 2005.

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Book chapters on the topic "Traffic accident rate"

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Kalašová, Alica, and Zuzana Krchová. "Analysis of Road Traffic Accident Rate in the Slovak Republic and Possibilities of Its Reduction through Telematic Applications." In Communications in Computer and Information Science, 463–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16472-9_51.

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Sowmya, B. J., Chetan Shetty, S. Seema, and K. G. Srinivasa. "Effective Prevention and Reduction in the Rate of Accidents Using Internet of Things and Data Analytics." In Improving the Safety and Efficiency of Emergency Services, 114–41. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2535-7.ch006.

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Hundreds of lives in India are lost each day due to the delayed medical response. In the present scenario, the victims completely rely on the passersby for almost every kind of medical help such as informing the hospital or ambulance. This project aims to automate the process of detecting and reporting accidents using accident detection kits in vehicles. The kit has a system on chip and various sensors which sense various parameters that change drastically during the occurrence of accidents such as the vibration levels, orientation of vehicles with respect to the ground. The accident is said to occur when these values cross the permissible threshold limit. As soon as this happens, the latitude and longitude of the accident spot is tracked using the GPS module present in the kit. The nearest hospital and police station is computed by the GPS module, which uses the latitude and longitude values as the input. The accident notifications are sent to the concerned hospital and police station over the web interface accordingly. The assignment of particular ambulance and the required traffic policemen to the accident cases is done using the web interface. The android application guides the ambulance driver as well as the policemen to the accident spot and also helps in the detailed registration of the accidents. The closest doctor facility and police headquarters is processed by the GPS module, which utilizes the scope and longitude esteems as the information. The accident warnings are sent to the concerned healing facility and police headquarters over the web interface as needs be. The task of specific rescue vehicle and policemen to the accident cases is finished utilizing the web interface. An intelligent analysis of the last five years' rich dataset uncovers the patterns followed by the accidents and gives valuable insights on how to deploy the existing resources such as ambulances and traffic-police efficiently. Various types of analysis are done to identify the cause-effect relationships and deal with this in a better way. Such technical solutions to the frequently occurring problems would result in saving many lives as well as making the cities safer and smarter.
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Sowmya B. J., Chetan Shetty, Seema S., and Srinivasa K. G. "Effective Prevention and Reduction in the Rate of Accidents Using Internet of Things and Data Analytics." In Exploring Critical Approaches of Evolutionary Computation, 99–121. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5832-3.ch006.

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Hundreds of lives in India are lost each day due to the delayed medical response. In the present scenario, the victims completely rely on the passersby for almost every kind of medical help such as informing the hospital or ambulance. This project aims to automate the process of detecting and reporting accidents using accident detection kits in vehicles. The kit has a system on chip and various sensors which sense various parameters that change drastically during the occurrence of accidents such as the vibration levels, orientation of vehicles with respect to the ground. The accident is said to occur when these values cross the permissible threshold limit. As soon as this happens, the latitude and longitude of the accident spot is tracked using the GPS module present in the kit. The nearest hospital and police station is computed by the GPS module, which uses the latitude and longitude values as the input. The accident notifications are sent to the concerned hospital and police station over the web interface accordingly. The assignment of particular ambulance and the required traffic policemen to the accident cases is done using the web interface. The android application guides the ambulance driver as well as the policemen to the accident spot and also helps in the detailed registration of the accidents. The closest doctor facility and police headquarters is processed by the GPS module, which utilizes the scope and longitude esteems as the information. The accident warnings are sent to the concerned healing facility and police headquarters over the web interface as needs be. The task of specific rescue vehicle and policemen to the accident cases is finished utilizing the web interface. An intelligent analysis of the last five years' rich dataset uncovers the patterns followed by the accidents and gives valuable insights on how to deploy the existing resources such as ambulances and traffic-police efficiently. Various types of analysis are done to identify the cause-effect relationships and deal with this in a better way. Such technical solutions to the frequently occurring problems would result in saving many lives as well as making the cities safer and smarter.
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Srinivasan, Sumeeta. "The Potential for Rail Transit as a Way to Mitigate Accident Risk." In Advances in Civil and Industrial Engineering, 23–39. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0084-1.ch002.

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The city of Chennai has made road accident data available with the address location of road accidents and the total numbers of persons and pedestrians affected in the accident in 2009. These data were geocoded to locate the accidents with respect to the census wards within the Chennai Corporation area. Both the total number of persons as well as pedestrians in accidents as well as the rate of accidents normalized by population in the ward were modeled as dependent variables using Poisson based regression models to see the effect of location characteristics such as road length, vehicle traffic, proximity to existing and proposed transit infrastructure and the percentage of the land developed between 1991-2009. The results from the models suggest that location does indeed affect the risk for accidents in Chennai and that planners in the city may need to better understand the implications of roads, urban development, transit access and the built environment for traffic safety.
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Hugo Criado del Valle, Carlos, and Parichehr Scharifi. "Cognitive Profile of Optimistic Offender Drivers Affected by Psychological Interventions for a Sustainable and Safer Driving’s Behavior." In Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96249.

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An empirically verified fact is that the majority of traffic accidents occur as a result of risky behaviours that drivers assume, more or less, voluntarily. Drivers are not aware of the perception of risk and the subjective perception of control that we believe we have. We have delimitated the characteristics of a group of optimistic offender drivers, which reveal, on the hand, a great lack of understanding of the true impact that external factors can have on driving and; on the other hand, they tend to overestimate their abilities and overconfident in their ability to avoid accidents. In addition, these drivers do not usually experience negative emotions when they fail. All this, together is what increases the probability of suffering an accident. The consideration of the different cognitive profiles in the perception of the risk or challenge when facing potential traffic situations may provide us with a better understanding of the true nature of offending drivers. The need to carry out experimental studies using new assessment instruments (i.e. Eye tracking, Bio-Feedback, evoked potentials, etc.) can facilitate a better understanding of the cognitive processes that explain the attitudes and behaviors of drivers; and therefore, achieve a lower rate of car accidents.
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Pandey, Kavita, Akshansh Narula, Dhiraj Pandey, and Ram Shringar Raw. "An Approach Towards Intelligent Traffic Environment Using Machine Learning Algorithms." In Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks, 1–22. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2764-1.ch001.

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To make an optimal movement of vehicles and to reduce the accident rate, the government has installed traffic lights at almost every intersection. Traffic lights are intended to decrease congestion. However, the dynamic nature of traffic movement causes congestion always. This congestion leads to increased waiting times for every vehicle. In this chapter, two machine learning-based approaches used to improve in the congested traffic environment. The first part of the work is Deep-Learning based traffic signaling, which identifies the congestion on all sides of the intersection with the help of image processing techniques. By analyzing the congestion, the algorithm proposes dynamic green-light times rather than the traditional fixed lighting system. In the second part, a Q-learning-based approach has been suggested in which an agent decides the state of the traffic light based on a cumulative reward. Further, these algorithms have been tested on different traffic simulated environments using SUMO, and detailed analysis has been carried out.
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Mudaliar, Ranjani Arsu, Sonal Sanjay Rajurkar, and Mythili Thirugnanam. "Intelligent Driving Using Cognitive Science." In Applications of Artificial Intelligence for Smart Technology, 283–92. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3335-2.ch018.

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Due to negligence by drivers, there might be large number of road accidents. In order to overcome this current issue, various methodologies were used to combine the artificial intelligence theory and road traffic control system. In addition to that, researches were performed regarding driving behaviours which include intelligent driving and artificial driving. These two behaviours were based on cognitive science and as well as simulation. Cognitive science is scientific study of the mind and its processes. In the current research papers, autonomous driving system was implemented but had some drawbacks while overtaking. Therefore, this work aims to modify and implement an intelligent driving system to help the drivers and lower the accident rates.
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Kortli, Yassin, Mehrez Marzougui, and Mohamed Atri. "A Novel Real-Time Lighting-Invariant Lane Departure Warning System." In Security and Privacy in Smart Sensor Networks, 231–52. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5736-4.ch011.

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In recent years, in order to minimize traffic accidents, developing driving assistance systems for security has attracted much attention. Lane detection is an essential element of avoiding accidents and enhancing driving security. In this chapter, the authors implement a novel real-time lighting-invariant lane departure warning system. The proposed methodology works well in different lighting conditions, such as in poor conditions. The experimental results and accuracy evaluation indicates the efficiency of the system proposed for lane detection. The correct detection rate averages 97% and exceeds 95.6% in poor conditions. Furthermore, the entire process has only 29 ms per frame.
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Usman Tariq, Muhammad. "“Human Factors Quality Control” Air Traffic." In Air Traffic Management and Control [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99640.

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Every living person, from infants to older people, gets affected by internal and external factors. There are numerous researches and writings related to humans and these various factors. Human factors are recognized since the start of the human race. The awareness of the impacts of our environment is not new to humans. The focus in this chapter is upon those factors which can create an impact on aircraft mechanisms and air traffic controllers. These factors include human, psychological, work conditions, training, health conditions, environment, societal, and training. These factors must be quality controlled to minimize the errors in the critical domain of air traffic. A reduction in the number of errors will allow the performance to be higher and lowers the chances of fatal accidents.
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Rath, Mamata, and Bibudhendu Pati. "Communication Improvement and Traffic Control Based on V2I in Smart City Framework." In Robotic Systems, 1620–36. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch077.

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This article describes how soft computing techniques are tolerant of imprecision, intended on approximation, focus on uncertainty and are based on partial truth. Current real-world problems pertaining to congested traffic is pervasively imprecise and therefore design of smart traffic control system is a challenging issue. Due to the increasing rate of vehicles at traffic points in smart cities, it creates unexpected delays during transit, chances of accidents are higher, unnecessary fuel consumption is an issue, and unhygienic environment due to pollution also degrades the health condition of general people in a normal city scenario. To avoid such problems many smart cities are currently implementing improved traffic control systems that work on the principle of traffic automation to prevent these issues. The basic challenge lies in the usage of real-time analytics performed with online traffic information and correctly applying it to some traffic flow. In this research article, an enhanced traffic management system called SCICS (Soft Computing based Intelligent Communication System) has been proposed which uses swarm intelligence as a soft computing technique with intelligent communication between smart vehicles and traffic points using the vehicle to infrastructure (V2I) concept of VANET. It uses an improved route diversion mechanism with implemented logic in nanorobots. Under a vehicular ad-hoc network (VANET) scenario, the communication between intelligent vehicles and infrastructure points takes place through nanorobots in a collaborative way. Simulation carried out using Ns2 simulator shows encouraging results in terms of better performance to control the traffic.
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Conference papers on the topic "Traffic accident rate"

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Wang, Jianshi, and Yukio Ohsawa. "Evaluating model of traffic accident rate on urban data." In 2016 Federated Conference on Computer Science and Information Systems. IEEE, 2016. http://dx.doi.org/10.15439/2016f195.

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

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Liu, Xiang. "Change of U.S. Freight-Train Derailment Rate From 2000 to 2012." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5638.

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A widely used measure for rail safety is accident rate, which is defined as the number of train accidents normalized by traffic exposure. Of interest in rail safety research is to understand the temporal trend of accident rates, the significant factors affecting the trend, as well as how to predict future accident rates. This paper presents a statistical analysis of U.S. freight-train derailment rates from 2000 to 2012, based on information from the Federal Railroad Administration of the U.S. Department of Transportation. The analysis leads to several observations, including: • There is a significant temporal decline in Class I freight-train derailment rate (−5.8%) per year • The rate of change in accident rate varies by accident cause. Freight-train derailment rates due to broken rails or welds and track geometry defects declined by 7% annually, respectively; bearing-failure-caused derailment rate decreased by 11% annually; and derailment rate caused by train handling errors fell by 9% annually. Future train derailment rates are projected and can be used to evaluate the safety benefit of accident prevention strategies.
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Akarametagul, Patcharaphong. "Guidelines to Reduce Traffic Accident Rate of Migrant Workers in Sansai District, Chiangmai Province Thailand." In Unhas International Conference on Social and Political Science (UICoSP 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/uicosp-17.2017.11.

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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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Lee, Dahye, Jeffery Warner, and Curtis Morgan. "Discovering Crash Severity Factors of Grade Crossing With a Machine Learning Approach." In 2019 Joint Rail Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/jrc2019-1231.

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According to the Federal Railroad Administration (FRA) Highway-Rail Grade Crossing Accident/Incident database, more than 12,000 accidents occurred between 2012 and 2017 in the United States with casualties of around 3900. Despite repeated efforts to fully understand the risk factors that contribute to highway-rail grade crossing collisions, there still remain many uncertainties. A machine learning approach is proposed in this paper to find out significant factors, along with their individual impacts of crash severities at grade crossings. One of the most efficient and accurate machine learning algorithms, extreme gradient boosting (XGB or XGBoost), is applied to analyze 21 different accident and crossing -related characteristics per driver severities. The XGB model has been proven in previous studies across many research areas in transportation to outperform other machine learning-based methods and statistical classification methods, such as multinomial logit model, multiple additive regression trees, decision tree, and random forest, especially in prediction accuracy. Thereby, applying the algorithm is expected to provide highly reliable results to identify important factors that have impacts on injury severities at grade crossings. Such application will further aid the discovery of potential crossings with significant factors. The FRA’s Highway-Rail Grade Crossing Accident/Incident database from 2012 to 2017 is fused with the FRA Highway-Rail Crossing Inventory database for the analysis. Observations with missing information were removed from the original database. Crossing position under or over the railroad and pedestrian or other types of highway users were also not considered since they were not specifically of interest in this study. After the database cleaning process, it condensed to the total of 1,250 accidents out of the retrieved 12,630 from the combined database. The results show that adjacent highway traffic volume and train speed are the most significant factors causing accidents and injury severity. They are followed by the driver’s age and the estimated vehicle speed. It also indicated that truck-involved accidents and crossings with gates, flashing lights, and other types of warning devices combined, and highway user’s gender as a male also pertain to the higher injury rate. Through this study, it is possible to provide guidance to decision-makers in recognizing possible risks at-grade crossings that may cause driver casualties.
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Tan, X. Gary, Maria M. D’Souza, Subhash Khushu, Raj K. Gupta, Virginia G. DeGiorgi, Ajay K. Singh, and Amit Bagchi. "Computational Modeling of Blunt Impact to Head and Correlation of Biomechanical Measures With Medical Images." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88026.

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Mild traumatic brain injury (TBI) is a very common injury to service members in recent conflicts. Computational models can offer insights in understanding the underlying mechanism of brain injury, which can aid in the development of effective personal protective equipment. This paper attempts to correlate simulation results with clinical data from advanced techniques such as magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), MR spectroscopy and susceptibility weighted imaging (SWI), to identify TBI related subtle alterations in brain morphology, function and metabolism. High-resolution image data were obtained from the MRI scan of a young adult male, from a concussive head injury caused by a road traffic accident. The falling accident of human was modeled by combing high-resolution human head model with an articulated human body model. This mixed, multi-fidelity computational modeling approach can efficiently investigate such accident-related TBI. A high-fidelity computational head model was used to accurately reproduce the complex structures of the head. For most soft materials, the hyper-viscoelastic model was used to captures the strain rate dependence and finite strain nonlinearity. Stiffer materials, such as bony structure were simulated using an elasto-plastic material model to capture the permanent deformation. We used the enhanced linear tetrahedral elements to remove the parasitic locking problem in modeling such incompressible biological tissues. The bio-fidelity of human head model was validated from human cadaver tests. The accidental fall was reconstructed using such multi-fidelity models. The localized large deformation in the head was simulated and compared with the MRI images. The shear stress and shear strain were used to correlate with the post-accident medical images with respect to the injury location and severity in the brain. The correspondence between model results and MRI findings further validates the human head models and enhances our understanding of the mechanism, extent and impact of TBI.
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Ma, Ruize. "The Influence Factors of Highway Traffic Accident and Accident Rates Model." In 3rd International Symposium on Social Science (ISSS 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/isss-17.2017.129.

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Krishnan, Prashant V., Vivek Chandra Sheel, M. V. S. Viswanadh, Chetan Shetty, and S. Seema. "Data Analysis of Road Traffic Accidents to Minimize the rate of Accidents." In 2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2018. http://dx.doi.org/10.1109/csitss.2018.8768736.

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Mak, Lawrence, Brian Farnworth, Eugene H. Wissler, Michel B. DuCharme, Wendell Uglene, Renee Boileau, Pete Hackett, and Andrew Kuczora. "Thermal Requirements for Surviving a Mass Rescue Incident in the Arctic: Preliminary Results." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49471.

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Maritime and air traffic through the Arctic has increased in recent years. Cruise ship and commercial jet liners carry a large number of passengers. With increased traffic, there is a higher probability that a major disaster could occur. Cruise ship and plane accidents could be catastrophic and may require mass rescue. Due to the remote location, limited search and rescue resources, time for these resources to get to the accident location and large number of survivors, the retrieval time could be several days. Therefore, survivors may be required to survive on their own for days while they await rescue. Recognizing that the International Maritime Organization does not have specific thermal performance criteria for liferafts and lifeboats and personal and group survival kits, the Maritime and Arctic Survival Scientific and Engineering Research Team (MASSERT) initiated a research project to improve safety and provide input for advances to regulations. The objective of the project is to investigate if the current thermal protective equipment and preparedness available to people traveling in the Canadian Arctic are adequate for surviving a major air or cruise ship disaster and to identify the minimum thermal protection criteria for survival. This project builds on the results and tools developed in other research projects conducted by the team on thermal protection of liferafts, lifeboats and immersion suits. The project is divided into three major phases — clothing ensemble testing with thermal manikins, a physiology experiment on sustainable shivering duration and ensemble testing in Arctic conditions with human subjects. A numerical model uses these data to simulate survival scenarios. In the first phase of this project, the thermal resistance values of the protective clothing typically available to cruise ship and aircraft passengers were measured using two thermal manikins. The ensembles included Cabin Wear, Deck Wear, Expedition Wear, Abandonment Wear and protective clothing from Canada Forces Major Air Disaster Kit (MAJAID). Tests were conducted on dry and wet ensembles at 5°C and −15°C with and without wind. There is very good agreement between the thermal resistances measured by the two manikins. The differences in thermal resistances observed are likely caused by variations in fit and wrinkles and folds in the ensembles from dressing. With no wind, the thermal resistance is lowest with Cabin Wear and highest with MAJAID clothing inside the down-filled casualty bag. The Expedition Wear, the Abandonment Wear and the MAJAID clothing have about the same thermal resistance. With 7 metre-per-second wind, the thermal resistance of all ensembles decreased significantly by 30% to 70%. These results highlight the importance of having a shelter as a windbreak. For wet clothing ensembles at 5°C, the initial wet thermal resistance was 2 to 2.5 times lower than the dry value, and drying times ranged up to 60 hours. This highlights the importance of staying dry. Preliminary predictions from the numerical model show that the survivors in Expedition Wear, even with sleeping bag and tent, can be mildly hypothermic and need to depend heavily on shivering to maintain thermal balance. In a shelter, the predicted metabolic rate is roughly double the resting rate; it is triple the resting rate without protection from the wind. Further research is required to study shivering fatigue and age effects. Research on mass rescue scenarios for cruise ships and airplanes survivors should ideally involve subjects of both genders and the elderly.
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Reports on the topic "Traffic accident rate"

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Kosaka, Hiroaki, Hiroki Koyama, Toshiyuki Morioka, Masaru Noda, and Hirokazu Nishitani. A Study of Car Driver's Behavior Focused on His/Her Heart Rate and Eye Information When He/She Causes a Traffic Accident Occurring Between Cars at an Intersection. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0048.

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