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1
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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Davis, Gary A. "Estimating Traffic Accident Rates While Accounting for Traffic-Volume Estimation Error: A Gibbs Sampling Approach." Transportation Research Record: Journal of the Transportation Research Board 1717, no. 1 (January 2000): 94–101. http://dx.doi.org/10.3141/1717-12.
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Traffic-accident rates that are estimated for individual roadway sites are often used to identify potentially hazardous locations. Occasionally they are used to test whether an accident countermeasure is associated with a statistically significant change in accident rate. In assessing the uncertainty attached to estimated accident rates, it is often implicitly assumed that the total traffic at a site is known with certainty, when in actuality the total traffic almost always must be estimated from a short sample of traffic counts. This introduces estimation error, which, if ignored, can lead one to overstate the accuracy of an accident-rate estimate. An explanation is provided about how Bayes estimates of accident rates, which explicitly account for total traffic estimation error, can be computed readily using a (relatively) new estimation method called “Gibbs sampling.” A model of how traffic-count samples are related to total traffic is incorporated from earlier work done by the author and his students. In tests conducted using accident counts and traffic data from 17 automatic traffic-recorder sites in Minnesota, it was found that, when using a 2-day traffic-count sample, the traditional method for estimating accidents rates understated the likely error of these estimates by 12 to 40 percent, depending on the site.
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Abdul Kudus Zaini and Abdussalam. "Potential Traffic Accident Analysis of Bangkinang – Rantau Berangin Road Riau Province, Indonesia." Journal of Innovation and Technology 2, no. 1 (April 25, 2021): 27–33. http://dx.doi.org/10.31629/jit.v2i1.3201.
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A traffic accident is an unexpected and unintentional event involving a vehicle with or without other road users, resulting in human casualties (minor injuries, serious injuries, and death) and property loss. In penel itian have taken vertebra way the segments road Bangkinang - Rantau Berangin KM 60 to KM 100 . This study aims for know se how much the level of traffic accidents in the area and for get The value of Accident Rate is Black Spot and Black Site on road Bangkinang-Rantau Berangin.The method used in this research is the Calculation Analysis method by identifying the Black Spot and Black Site based on the Accident Rate . The results of the analysis of data years 2014 - 2018 indicates that the segments road Bangkinang - Rantau Berangin can be identified value Accident rate which is Black Spot is the village of Pulau Gadang - Tanjung Alai with accident rate amounted to 2,069 and also the village of Tanjung Alai – Batu Bersurat with grades Accident rate amounted to 2,069. While for Accident rate against Black Site among others , namely the segment road Tanjung Alai – Batu Bersurat with Accident rate of 0.295 followed by the village of Pulau Gadang - Tanjung Alai is 0,258 and followed the village of Kuok - Village Lereng with Accident rate 0,240. From the analysis the researchers concluded that there are three locations which are the areas rawaan traffic accidents on roads Bangkinang - namely Rantau Berangin Village Tanjung Alai - Village Batu Bersurat , the village of Pulau Gadang - Tanjung Alai and villages Kuok - Village Lereng
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Zielińska, Edyta. "Analysis of the road accident rate in Lubelszczyzna and Podkarpacie." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (June 30, 2018): 322–26. http://dx.doi.org/10.24136/atest.2018.085.
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The article assesses two provinces of the south-eastern Poland, i.e. Lublin Province and Podkarpackie, taking into account the number of accidents, persons injured and the persons who caused the accident. In addition, the most common causes of such negative traffic incidents, i.e. speeding or weather conditions, are listed. For better evaluation of the safety on the roads of Lubelszczyzna and Podkarpacie, the road accident rate in the said provinces was compared with the national average. Also, the actions taken to improve the traffic safety on Polish roads were presented.
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Soltani, Ali, and Sajad Askari. "Analysis of Intra-Urban Traffic Accidents Using Spatiotemporal Visualization Techniques." Transport and Telecommunication Journal 15, no. 3 (September 1, 2014): 227–32. http://dx.doi.org/10.2478/ttj-2014-0020.
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Abstract Road traffic accidents (RTAs) rank in the top ten causes of the global burden of disease and injury, and Iran has one of the highest road traffic mortality rates in the world. This paper presents a spatiotemporal analysis of intra-urban traffic accidents data in metropolitan Shiraz, Iran during the period 2011-2012. It is tried to identify the accident prone zones and sensitive hours using Geographic Information Systems (GIS)-based spatio-temporal visualization techniques. The analysis aimed at the identification of high-rate accident locations and safety deficient area using Kernel Estimation Density (KED) method. The investigation indicates that the majority of occurrences of traffic accidents were on the main roads, which play a meta-region functional role and act as a linkage between main destinations with high trip generation rate. According to the temporal distribution of car crashes, the peak of traffic accidents incident is simultaneous with the traffic congestion peak hours on arterial roads. The accident-prone locations are mostly located in districts with higher speed and traffic volume, therefore, they should be considered as the priority investigation locations to safety promotion programs.
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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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Gupta, Meenu, Vijender Kumar Solanki, and Vijay Kumar Singh. "A Novel Framework to Use Association Rule Mining for classification of traffic accident severity." Ingeniería Solidaria 13, no. 21 (January 1, 2017): 37–44. http://dx.doi.org/10.16925/in.v13i21.1726.
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Introduction: Traffic accidents are an undesirable burden on society. Every year around one million deaths and more than ten million injuries are reported due to traffic accidents. Hence, traffic accidents prevention measures must be taken to overcome the accident rate. Different countries have different geographical and environmental conditions and hence the accident factors diverge in each country. Traffic accident data analysis is very useful in revealing the factors that affect the accidents in different countries. This article was written in the year 2016 in the Institute of Technology & Science, Mohan Nagar, Ghaziabad, up, India. Methology: We propose a framework to utilize association rule mining (arm) for the severity classification of traffic accidents data obtained from police records in Mujjafarnagar district, Uttarpradesh, India. Results: The results certainly reveal some hidden factors which can be applied to understand the factors behind road accidentality in this region. Conclusions: The framework enables us to find three clusters from the data set. Each cluster represents a type of accident severity, i.e. fatal, major injury and minor/no injury. The association rules exposed different factors that are associated with road accidents in each category. The information extracted provides important information which can be employed to adapt preventive measures to overcome the accident severity in Muzzafarnagar district.
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Akram Ramadan, Muhammad, and Martha Leni Siregar. "Analysis of accident fatalities on South Sulawesi Inter-urban Roads." E3S Web of Conferences 211 (2020): 02019. http://dx.doi.org/10.1051/e3sconf/202021102019.
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Traffic accidents are the fundamental yardstick for road safety. In South Sulawesi, particularly the four road sections which become the main focus of this study are Jeneponto-Bantaeng, Bantaeng-Bulukumba, Bulukumba-Tondong, and Sengkang-Impa-impa. Topographic conditions in South Sulawesi generally have various surfaces, including road sections area of this study focus. These various topographical conditions cause a chance of a traffic accident to occur at a certain point on the geometric features of the road, either on a straight or bend road/ curve road, grad (+) or grad (-), or the influence of the average International Roughness Index (IRI) value of a road. This study aims to analyze significant road geometric features that determine the fatality rate of the traffic accident. The results obtained from this study are significant factors of geometric road features that statistically affect and determine the fatality rate of traffic accidents; namely road geometry, road gradient, and IRI value, or with the conclusion is that all predictor variables are significant factors in influencing fatality rate of the traffic accident.
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MAYDA, Atilla Senih, Muammer YILMAZ, Filiz BOLU, Mustafa USLU, and Nuray YEŞİLDAL. "Mortality Rates of Traumatic Traffic Accident Patients at the University Hospital." PROMET - Traffic&Transportation 26, no. 3 (June 10, 2014): 219–25. http://dx.doi.org/10.7307/ptt.v26i3.1350.
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The aim of the study is to estimate hospitalization and mortality rates in patients admitted to the University Hospital due to traffic accidents, and to determine the mean cost of the applicants in the hospital due to traffic accident. In this retrospective study data were obtained from the records of a university research and practice hospital. There were 802 patients admitted to emergency and other outpatient clinics of the University Hospital because of traffic accidents throughout the year 2012. Out of these patients, 166 (20.7%) were hospitalized, and the annual mortality rate was 0.87%. The total cost was 322,545.2 euro and 402.2 euro per patient. Road traffic accident detection reports covered only the numbers of fatal injuries and injuries that happened at the scene of accidents. Determination of the number of the dead and wounded with overall mortality rate would be supposed to reveal the magnitude of public health problem caused by traffic accidents.
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Kurakina, E. V., and S. V. Riazanov. "Comprehensive analysis of accident rate and causes of complication of road traffic situation." Вестник гражданских инженеров 17, no. 4 (2020): 189–96. http://dx.doi.org/10.23968/1999-5571-2020-17-4-189-196.
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The article presents a substantiation of the necessity for an integrated (systematic) approach to solving the problems of road traffic injuries and research on the assessment of road safety criteria. The main regulatory documents - tools for reducing the road traffic accident rate in Russia - have been analyzed. The extent to which performance targets and indicators have to be improved is justified. The causes for the complication of the road transport situation are specified and factors of progressive increase of accidents are designated. The authors offer a comprehensive approach to solving the problems of accident rate reduction based on the use of system-forming indicators of road infrastructure to identify causes and factors, accident risk indicators and places of their concentration, a system of parameter assessment.
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HAGITA, Kenji, and Toshiya YOKOZEKI. "ANALYSIS OF TRAFFIC ACCIDENT RATE UTILIZING SOME TRAFFIC EXPOSURE INDEX." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 73, no. 5 (2017): I_961—I_970. http://dx.doi.org/10.2208/jscejipm.73.i_961.
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Šliupas, Tomas. "THE IMPACT OF ROAD PARAMETERS AND THE SURROUNDING AREA ON TRAFFIC ACCIDENTS." TRANSPORT 24, no. 1 (March 31, 2009): 42–47. http://dx.doi.org/10.3846/1648-4142.2009.24.42-47.
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The article analyses the data on road traffic accidents in Lithuanian main and interurban road networks in the years 2002–2006. The road network is divided into 341 road sections. The surrounding area and road parameters of each of the sections are measured. Then, the dependence of traffic accident rate on the parameters is studied and described using linear and multiple regressions. The equations are built using 90% of the available data and tested forecasting traffic accident rate for the rest of 10% of the data comparing the obtained results with the real data.
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Khairul Amri Kamarudin, Mohd, Noorjima Abd Wahab, Roslan Umar, Ahmad Shakir Mohd Saudi, Muhammad Hafiz Md Saad, Nik Rozaireen Nik Rosdi1, Sarah Alisa Abdul Razak, Muhamad Murtadha Merzuki, Abdul Salam Abdullah, Siti Amirah, and Asyraff Mohd Ridzuan. "Road Traffic Accident in Malaysia: Trends, Selected Underlying, Determinants and Status Intervention." International Journal of Engineering & Technology 7, no. 4.34 (December 13, 2018): 112. http://dx.doi.org/10.14419/ijet.v7i4.34.23839.
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This paper includes review of the trends, selected underlying, determinants and status intervention. The 1.17 million of deaths occur each year worldwide due to road accidents 70 % of which occur in developing countries in the world. 65% of deaths involve pedestrian’s causes, 35 % of which are children. Estimates suggest that 23–34 million people are injured worldwide every year in road crashes. Fatal accidents are among the major factors of death in the world apart from chronic diseases such as stroke, lung infections, respiratory difficulties and heart disease. The rise in fatal accidents in Malaysia is 70%. This study was conducted to study the rate of fatal accidents on roads in the state of Selangor and Perlis based on fatal accident data for a period of five years from 2013 to 2017. The data were analyzed using quantitative methods which took into account the research conducted by researchers last. Based on analyzed data, the state of Selangor recorded the highest accident rate while Perlis state recorded the lowest accident rate. Among other things being studied are factors affecting the rate of road accidents in both states. In conclusion, the traffic, the physical structure of the road and the road users' focus is a factor of road accidents more concentrated in a particular area.
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Yan, Linyang, and Sun-Woo Ko. "In-tunnel Accident Detection System based on the Learning of Accident Sound." Open Transportation Journal 15, no. 1 (May 21, 2021): 81–92. http://dx.doi.org/10.2174/1874447802115010081.
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Introduction: Traffic accidents are easy to occur in the tunnel due to its special environment, and the consequences are very serious. The existing vehicle accident detection system and CCTV system have the issues of low detection rate. Methods: A method of using Mel Frequency Cepstrum Coefficient (MFCC) to extract sound features and using a deep neural network (DNN) to learn sound features is proposed to distinguish accident sound from the non-accident sound. Results and Discussion: The experimental results show that the method can effectively classify accident sound and non-accident sound, and the recall rate can reach more than 78% by setting appropriate neural network parameters. Conclusion: The method proposed in this research can be used to detect tunnel accidents and consequently, accidents can be detected in time and avoid greater disasters.
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Ivan, K., I. Haidu, J. Benedek, and S. M. Ciobanu. "Identification of traffic accident risk-prone areas under low-light conditions." Natural Hazards and Earth System Sciences 15, no. 9 (September 15, 2015): 2059–68. http://dx.doi.org/10.5194/nhess-15-2059-2015.
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Abstract. Besides other non-behavioural factors, low-light conditions significantly influence the frequency of traffic accidents in an urban environment. This paper intends to identify the impact of low-light conditions on traffic accidents in the city of Cluj-Napoca, Romania. The dependence degree between light and the number of traffic accidents was analysed using the Pearson correlation, and the relation between the spatial distribution of traffic accidents and the light conditions was determined by the frequency ratio model. The vulnerable areas within the city were identified based on the calculation of the injury rate for the 0.5 km2 areas uniformly distributed within the study area. The results show a strong linear correlation between the low-light conditions and the number of traffic accidents in terms of three seasonal variations and a high probability of traffic accident occurrence under the above-mentioned conditions at the city entrances/exits, which represent vulnerable areas within the study area. Knowing the linear dependence and the spatial relation between the low light and the number of traffic accidents, as well as the consequences induced by their occurrence, enabled us to identify the areas of high traffic accident risk in Cluj-Napoca.
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YUNIARTI, NI LUH WIWIN, I. GUSTI AYU MADE SRINADI, and MADE SUSILAWATI. "PEMODELAN ANGKA KEMATIAN KECELAKAAN LALU LINTAS DI KOTA DENPASAR." E-Jurnal Matematika 10, no. 2 (May 24, 2021): 111. http://dx.doi.org/10.24843/mtk.2021.v10.i02.p329.
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Denpasar City is one of the most crowded areas on the island of Bali, this is due to the fast population growth rate. This fast population can cause problems, one of the problem is in the transportation sector. The increase in the volume of transportation can cause traffic congestion which can lead to a high number of traffic accidents, this can lead to death due to traffic accidents in Denpasar City. To determine the factors that influence traffic accident mortality, researchers used Poisson regression analysis. Based on data on traffic accidents in Denpasar City in 2018, the deviance value is smaller than the chi square value. Therefore Poisson regression analysis is sufficient to model traffic accident data in Denpasar City. The Poisson regression model obtained from this research is. Based on the Poisson regression model obtained, the independent variable that contributes significantly and has a high effect on the number of people who die in traffic accidents is the driver factor.
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Li, Jian, Walid Abdelwahab, and Gerald Brown. "Joint effects of access and geometry on two-lane rural highway safety in British Columbia." Canadian Journal of Civil Engineering 21, no. 6 (December 1, 1994): 1012–24. http://dx.doi.org/10.1139/l94-106.
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This paper examines the safety impact of access type, access density, traffic volume, and road geometry on two-lane rural highways in British Columbia. Documented accident to access relationships were reviewed and found to be in poor agreement with observed accident experience within the Province. The nontransferability of accident to access relationships, the lack of studies of traffic and road geometry interaction effects, and the need for a tool to predict the impact of access on highway safety led to the development of the models described in this paper. A comprehensive and disaggregate data base was constructed for some 560 km of the provincial primary arterial highway network. Highway access was classified into four groups: public road intersection, business access, private access, and roadside pullout. Various geometric data, traffic volume, and posted speed limit were included in the data base. Different measures of accidents were chosen to develop the models, including accident rate, accident frequency, severe (fatal plus injury) accident rate, and severe accident frequency. The statistical analyses indicated that when viewed as a disaggregated set of multivariate elements, all access types were significantly correlated with accidents. The joint effects of access and geometry, such as the combination of private access and horizontal curvature, intensify the effect of access on accidents. As a result, relative weightings of all access types in terms of their impact on safety were empirically derived, with business access weighted as 0.5 and private access weighted as 0.10 of public road intersections. Key words: highway access, geometry, accidents, rural highways, two-lane highways, multivariate regression.
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Sun, Lilu, Zhijin Zhang, Mengwei Chen, and Sen Dong. "Research on Characteristics of Perpetrators and casualties in Road Traffic Accidents in China——Based on the panel data analysis of national traffic accidents from 2006 to 2019." E3S Web of Conferences 275 (2021): 02024. http://dx.doi.org/10.1051/e3sconf/202127502024.
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Under the background of the rapid development of Internet technology, the emergence of Internet platform accelerates the industrial agglomeration. As a chain connecting the material circulation between industries, the rise of logistics industry is inevitable. As a key link of logistics industry, transportation, along with the rise of logistics industry, has led to an increase in traffic accidents year by year. Therefore, based on the national road traffic accident data from 2006 to 2019, this paper uses SPSS 26.0 to analyse the accident incidence, casualties and direct property loss indicators of different regions and occupation, and study the characteristics of perpetrators and casualties. The results show that the traffic accidents in the whole country show a downward trend, but they are unbalanced. Workers and farmers accounted for the largest proportion, but the death and injury rate showed a downward trend. Other showed an upward trend in the past five years, especially in the delivery industry. Future road traffic safety management should take corresponding measures to reduce the accident rate from the perspective of the development of related industries.
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Yoon, Seong-Sim, Un Ji, and Inhyeok Bae. "Influence of Radar and Gauge Rainfall Data Sources on the Analysis of Spatial Distribution of Traffic Accidents and Rainfall Events." Applied Sciences 10, no. 20 (October 20, 2020): 7327. http://dx.doi.org/10.3390/app10207327.
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The records of 24,797 traffic accidents (9039 involving fatalities or severe injury) during rainy conditions from 2007 to 2017 in Seoul, South Korea, were used to analyze the spatial distribution of the traffic accidents and rainfall events based on radar and gauge rainfall data. According to the spatial correspondence analysis between rainfall distribution and accident locations for localized and stratiform rain events, radar data in a two-dimensional grid (250 by 250 m) of 10 min temporal resolution benefited the localized rainfall distribution concerning the accident location. The relative accident rate (RAR) from radar data, which was used as a quantitative reference value for the effect of rainfall on traffic accidents, was about 18% higher than that from gauge rainfall. The radar data more clearly classified the number of traffic accidents during rainy conditions because its spatial distribution was more precise for all accidents. In addition, the RAR estimation of accidents involving fatalities and severe injury during rainfall could provide information on the district in which traffic accidents increase due to rainfall. The study results support the adoption of radar-derived rainfall data to analyze the influence of rainfall on accidents and the development of more accurate risk-assessment tools for drivers and planners.
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Bao, Juan, Wei Chen, Zhengtao Xiang, Yufeng Chen, and Yishui Shui. "Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model." Discrete Dynamics in Nature and Society 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/3821731.
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An early warning on the highway will effectively reduce traffic accidents. Considering the influence of an abandoned object on driving behavior, a Visual-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (V-ATCA-AO) and an Internet-of-Vehicles-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (IoV-ATCA-AO) are proposed. Based on the two models, two types of traffic accidents caused by an abandoned object are analyzed: rear-end collision caused by the abandoned object ahead and collision of the vehicle with the abandoned object. Simulation results show the following: (1) the accidents occur when the road density is smaller, while the accidents will not occur when the density is larger. The results are different from the rear-end collision rate curve without abandoned object in a single lane. (2) Compared with the visual-based avoidance pattern in V-ATCA-AO, the Internet-of-Vehicles-based avoidance pattern in IoV-ATCA-AO can create an early warning for the abandoned object and tell the vehicle to make an earlier lane change and decelerate in advance, thereby significantly reducing the accident rate. (3) Spatiotemporal characteristics in front of the abandoned object directly affect the accident rate: the less the “stability” of a traffic jam in front of the abandoned object, the higher the accident rate.
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Nagrebelna, Liydmila. "LINEAR ANALYSIS AS THE BEST METHOD OF DETECTION DANGEROUS ROAD SECTIONS." Avtoshliakhovyk Ukrayiny, no. 2 (258) ’ 2019 (June 27, 2019): 50–56. http://dx.doi.org/10.33868/0365-8392-2019-2-258-50-56.
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The main factors affecting road safety are outlined. The main methods of road accident analysis are presented, which will allow accurate determination of areas of high danger. By distributing road traffic accidents along the length of the road, it is possible to identify such areas and areas where road conditions have a dominant influence on the emergence of accidents, which is important in planning measures to improve traffic safety. It is proved that the effectiveness of the result depends on the precisely defined areas where first of all it is necessary to implement measures to improve road safety. It is completely impossible to predict the occurrence of traffic accidents because many different factors influence them. These factors relate both to traffic conditions on the motorway and to the impact of the traffic flow itself, a separate vehicle, a human factor, weather conditions etc. Therefore, there is a need for a comprehensive approach in solving a complex problem is increasing road safety. The purpose of this article is to: reduce the number of accidents and their victims on the highways of Ukraine by means of the priority implementation of measures to improve road conditions and improve the organization of traffic on highway sections of high danger identified by the results of linear analysis of accidents. Linear accident analysis provides an opportunity not only to effectively and reasonably plan events, but also to evaluate the outcome of their implementation. Reducing the number of traffic accidents and their victims in highway sections of high danger identified by the results of linear accident analysis is the best method for creating safe traffic conditions. Purposeful financing of measures aimed primarily at eliminating the most dangerous in terms of accident rate of road sections and the main risk factors of an accident will allow to reduce the number of accidents and the severity of their consequences. Keywords: road safety, linear analysis, methods of analysis.
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Salkah, Umi. "Relationship of Health Examination In Bus Driver with Traffic Accident Level in Sidoarjo District, 2019." Journal of Public Health Science Research 1, no. 1 (February 6, 2020): 32. http://dx.doi.org/10.30587/jphsr.v1i1.1185.
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The increase in the number of traffic accident cases in Sidoarjo Regency in 2016 there were 1177 traffic accident cases, and an increase of 18.6% which in 2017 there were 1446 traffic accident cases. Whereas in 2018, there were 1518 cases of traffic accidents resulting in an increase of 4.74%. The purpose of this study was to analyze the relationship between health checks on bus drivers and the level of traffic accidents in Sidoarjo Regency in 2019
This study was an observational analytic study with a cross sectional study design with a total of 77 bus drivers in the Bungurasih Terminal.
The results of the study based on the characteristics of the bus driver are the majority of male sex as many as 76 people (98.7%) and most are 41-50 years old as many as 34 people (44.2%). Based on statistical results the bus driver accident rate was influenced by variables of health examination results including blood pressure with Pvalue = 0,000, blood glucose variable with Pvalue = 0.023, while the results of respiratory alcohol and urine amphetamine tests on all bus drivers had negative results, so the value obtained constant and cannot be analyzed statistically.
The conclusion of the study is the variable examination of pressure and examination of blood glucose while having a significant relationship with the level of traffic accidents in Sidoarjo Regency in 2019.
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Lin, Li, and Ting Ting Lv. "The Analysis and Research of Traffic Accident Velocity Based on C#." Applied Mechanics and Materials 505-506 (January 2014): 1137–42. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.1137.
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In the process of the traffic accidents confirmation, the identification of vehicle speed when accident occurred is often an important basis for accident confirmation. The paper firstly discusses the models of mechanics and solving method for the vehicle front face, rear end, sides face ,slanted side collision based on the theory of collision mechanics ,it describes how to identify the vehicle rate and collision angle based on the model simplification, the theoretical analysis for dealing with the complicated accidents. The common and formulas are studied based on the classical collision mechanics method. The application range, parameters involved in selection and influence of the formulas are analyzed in detail. Finally the program based on C# is developed according to the identified calculation process for vehicle speed of traffic accident. The vehicle speed is obtained by selecting the collision type, entering the relevant accident pattern, inputting the parameters and clicking the command button .The application can store, modify and display results conveniently , improve efficiency on vehicle speed identification effectively and reduce the processing cycle of traffic accident availably.
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Srinivasa, K. G., Abhinav Shikhar, J. S. Naveen, and B. J. Sowmya. "Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents." International Journal of Applied Evolutionary Computation 7, no. 4 (October 2016): 60–76. http://dx.doi.org/10.4018/ijaec.2016100104.
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Hundreds of lives in the country are lost each day due to the delayed medical response to the accident spots. 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 kit 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. 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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Erdogan, S., M. Yalcin, M. Yilmaz, and A. Korkmaz Takim. "TEMPORAL STATISTIC OF TRAFFIC ACCIDENTS IN TURKEY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (October 19, 2015): 117–21. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-117-2015.
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Traffic accidents form clusters in terms of geographic space and over time which themselves exhibit distinct spatial and temporal patterns. There is an imperative need to understand how, where and when traffic accidents occur in order to develop appropriate accident reduction strategies. An improved understanding of the location, time and reasons for traffic accidents makes a significant contribution to preventing them. Traffic accident occurrences have been extensively studied from different spatial and temporal points of view using a variety of methodological approaches. In literature, less research has been dedicated to the temporal patterns of traffic accidents. In this paper, the numbers of traffic accidents are normalized according to the traffic volume and the distribution and fluctuation of these accidents is examined in terms of Islamic time intervals. The daily activities and worship of Muslims are arranged according to these time intervals that are spaced fairly throughout the day according to the position of the sun. The Islamic time intervals are never been used before to identify the critical hour for traffic accidents in the world. The results show that the sunrise is the critical time that acts as a threshold in the rate of traffic accidents throughout Turkey in Islamic time intervals.
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Morita, Kazumoto. "Statistical Analysis of Traffic Accident Rate at Dusk." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 84, no. 8 (2000): 507–13. http://dx.doi.org/10.2150/jieij1980.84.8_507.
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Utomo, Preliyanto Puji, and Bambang Tri Bawono. "Application Of Act No. 22 Of 2009 As A Traffic Accidents Countermeasures Management In The Blora Police Law Area." Jurnal Daulat Hukum 3, no. 2 (May 19, 2020): 259. http://dx.doi.org/10.30659/jdh.v3i2.9373.
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The problems discussed in this study are efforts to tackle traffic accidents by law enforcers in the Blora Police Law Area and the application of Act No. 22 Of 2009 On Road Traffic and Transportation to accident rates in the Blora Police Law Area. The approach method used is sociological juridical, descriptive analytical research specifications. The data used are primary data and secondary data. Data collection methods are field studies and library studies. The data analysis method uses qualitative analysis. As a knife analysis, crime prevention theory and law enforcement theory are used. The results of the research show that the handling of traffic accidents by law enforcers in the Blora Police Law Area is carried out through preventive and repressive measures. Preventive efforts are carried out through routine patrol activities, zebra operations, counseling at schools and in the community and installing biilboard warning signs in accident-prone areas. The repressive effort is carried out through a series of investigative actions against traffic accidents which are guided by applicable laws and regulations. The application of Act No. 22 Of 2009 On Traffic and Road Transportation towards accident rates in the Blora Police Law Area is not optimal. The accident rate is still relatively high from year to year despite various efforts have been carried out. This is due to the lack of public awareness and legal culture of the community which does not support the programs implemented by the Blora Police Law Area in reducing the level of traffic accidents.Keywords: Implementation; Countermeasures; Traffic Accidents.
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Hidayat, Acep, Muhammad Isradi, and Soh Aly. "SOCIALIZATION OF GOOD AND TRUE TRAFFICKING OF MADRASAH IBTIDAIYAH DAARUL ‘ULUM SOUTH JAKARTA." ICCD 2, no. 1 (November 27, 2019): 373–75. http://dx.doi.org/10.33068/iccd.vol2.iss1.234.
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The accident rate in Indonesia tends to be quite high when compared to other countries in Asean. Traffic accidents are one of the causes of death in the world (8th rank), and the main cause of death of young people aged 15 to 29 years. Accidents can be prevented by various technical countermeasures, this needs to be done so that unnecessary accident costs can be reduced. Against this background, it is necessary to conduct socialization early on about good and correct traffic procedures especially for young children at the elementary school level, so it is expected that our children already have the provision of information and techniques about traffic in our country.
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Al-Shara, Kader. "Automatic Vehicle Accident Detection Based on GSM System." Iraqi Journal for Computers and Informatics 43, no. 2 (December 31, 2017): 9–13. http://dx.doi.org/10.25195/ijci.v43i2.58.
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The evolution of technology has increased the rate of traffic accidents that occurs frequently causing loss of lifeand property. Therefore, the automatic traffic monitoring system gradually attracted the attention of researchers in improvingtraffic safety through the field of intelligent transport systems. In this paper, a cost-effective approach based on GSM systemfor automatic traffic incident detection is proposed. This paper provides an optimal solution to reduce the death rate by usingthe vibration sensor and GSM system; the implementation system is based on hardware (circuits) and software to build agraphical user interface (GUI) using LabView TM to process the data. Sensors are installed into the vehicles on each side ofthe vehicle. An SMS will be sent to the user after the accident. This system will assist in search and rescue vehicle involved inthe accident.
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Mauro, Raffaele, Marco Cattani, and Marco Guerrieri. "Evaluation of the safety performance of turbo roundabouts by means of a potential accident rate model." BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING 10, no. 1 (March 10, 2015): 28–38. http://dx.doi.org/10.3846/bjrbe.2015.04.
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Turbo roundabouts are a particular road intersection layout, designed to increase the safety of double-lane roundabouts, while maintaining their excellent capacity. The main feature of this new concept of roundabout is the impossibility to move from one lane to another, provided by physical barriers marking the lanes. The paper shows an application to turbo roundabouts of a potential accident rate model, aiming to evaluate their safety improvement. Themodel is based on the concept of potential conflict: each vehicle involved in a general intersection performs a series of maneuvers which potentially imply a crash, according to the actual traffic. The number of accidents related to each critical maneuver is proportional to the number of times this maneuver occurs at the intersection. In order to define the critical maneuvers, and hence the relevant potential conflicts, specific crash typologies for roundabouts are adopted. Traffic volumes are required, to evaluate the expected number of accidents, and also probabilities of accident for every critical maneuver. These ratios were obtained by a model calibration, based on actual accident and traffic data recorded on conventional single and double-lane roundabouts. The model was then used to compare four-leg turbo roundabouts to conventional roundabouts. The comparisons have taken into account only basic differences in layout, such as geometric elements, that also play a role in determining safety performances of a roundabout. The results obtained show that turbo roundabouts significantly decrease the accident rate with respect to conventional roundabouts, by eliminating conflicts between circulating and exiting vehicles.
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Sun, Jian Cheng, and Lin Song Wang. "Road Macula Analysis and Evaluation." Applied Mechanics and Materials 97-98 (September 2011): 360–66. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.360.
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The subject Introduced the analysis method of the black-spot, established the black-spot discriminant model, And gave its algorithm. According to the characteristics of China's traffic flow, we develope black-spot database, so that the work of the black-spot identification can be quickly carried out。The Road black-spot traffic accidents describes the road sections which have significantly higher accident rate than the average level . Road black-spots identification, analysis and processing are widely considered to be the most efficient way to prevent traffic accidents. The identification of Road accident black-spots is the concern of road design, road safety review, operation management, and security studies , The research studies of road black-spot identification,and determines risk road sections, so that countermeasures can be put forward, and we can achieve the goals of design improvement, strengthen management, improvement of road safety operation environment, decrease of the number of traffic accidents and improvement of the whole road traffic safety performance.
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Iqbal, Asad, Zia Ur Rehman, Shahid Ali, Kaleem Ullah, and Usman Ghani. "Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway." Civil Engineering Journal 6, no. 12 (December 1, 2020): 2448–56. http://dx.doi.org/10.28991/cej-2020-03091629.
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Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF
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Koo, Byung-Kook, Ji-Won Baek, and Kyung-Yong Chung. "Weight Feedback-Based Harmonic MDG-Ensemble Model for Prediction of Traffic Accident Severity." Applied Sciences 11, no. 11 (May 30, 2021): 5072. http://dx.doi.org/10.3390/app11115072.
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Traffic accidents are emerging as a serious social problem in modern society but if the severity of an accident is quickly grasped, countermeasures can be organized efficiently. To solve this problem, the method proposed in this paper derives the MDG (Mean Decrease Gini) coefficient between variables to assess the severity of traffic accidents. Single models are designed to use coefficient, independent variables to determine and predict accident severity. The generated single models are fused using a weighted-voting-based bagging method ensemble to consider various characteristics and avoid overfitting. The variables used for predicting accidents are classified as dependent or independent and the variables that affect the severity of traffic accidents are predicted using the characteristics of causal relationships. Independent variables are classified as categorical and numerical variables. For this reason, a problem arises when the variation among dependent variables is imbalanced. Therefore, a harmonic average is applied to the weights to maintain the variables’ balance and determine the average rate of change. Through this, it is possible to establish objective criteria for determining the severity of traffic accidents, thereby improving reliability.
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Agrawal, Tripti, Sandeep Kumar Sinha, and Nitesh Agrawal. "Retrospective Evaluation of Determinants of Road Traffic Injuries at a Naval Station." Indian Journal of Community Health 33, no. 1 (March 31, 2021): 205–11. http://dx.doi.org/10.47203/ijch.2021.v33i01.030.
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Introduction: Several factors like globalization, industrialization, migration, access to modern ways of living, increasing income levels, easy availability of vehicles, point of use entertainment/communication gadgets, media influence and others have brought human beings in close contact with a variety of challenges to safe driving, resulting in an increased occurrence of Road Traffic injuries across the globe. Methods and Material: A cross-sectional descriptive study was conducted at naval station amongst victims of road traffic accidents who reported to emergency department of naval hospital over period of six months. Interviews on structured questionnaire to explore various determinants of road traffic injuries (RTI). Data Analysis on 156 victims was carried out for proportion of study variables of interest, Chi square test to determine significant differences between demographic variables and RTA exposure. Results: Of 156 RTA victims, more than 50% were between 21 - 40 years; 69.9% were male; 93% accidents were contributed by driving speed more than 40km/hr; 47% occurred at road junctions followed by civil roads; 27% were due to collision. 23% accidents took place on Saturdays; 36% were in morning 06 - 12 hours. 1/3 accidents were caused by two wheeler vehicles. Negligence of driver (40.4%) poor road condition (24.4%) were major causes of the accident as reported by victims. 44.2% of the victims had minor injury; 58.7% drivers who met accidents were holding valid driving license; 38% were wearing protective gears and 56% narrated that road lights/ traffic signals were available at vantage points. Exposure to accidents was found to be having statistically significant difference when related to age, gender, type of accident, common causes of accident and use of protective gears. Conclusions: The stricter application of traffic laws and safety measures are required to bring down the road traffic accident rate and related mortality.
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Ali, Galal A., Saleh M. Al-Alawi, and Charles S.Bakheit. "A Comparative Analysis and Prediction of Traffic Accident Causalities in the Sultanate of Oman using Artificial Neural Networks and Statistical methods." Sultan Qaboos University Journal for Science [SQUJS] 3 (December 1, 1998): 11. http://dx.doi.org/10.24200/squjs.vol3iss0pp11-20.
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Traffic accidents are among the major causes of death in the Sultanate of Oman This is particularly the case in the age group of I6 to 25. Studies indicate that, in spite of Oman's high population-per-vehicle ratio, its fatality rate per l0,000 vehicles is one of the highest in the world. This alarming Situation underlines the importance of analyzing traffic accident data and predicting accident casualties. Such steps will lead to understanding the underlying causes of traffic accidents, and thereby to devise appropriate measures to reduce the number of car accidents and enhance safety standards. In this paper, a comparative study of car accident casualties in Oman was undertaken. Artificial Neural Networks (ANNs) were used to analyze the data and make predictions of the number of accident casualties. The results were compared with those obtained from the analysis and predictions by regression techniques. Both approaches attempted to model accident casualties using historical data on related factors, such as population, number of cars on the road and so on, covering the period from I976 to 1994. Forecasts for the years 1995 to 2000 were made using ANNs and regression equations. The results from ANNs provided the best fit for the data. However, it was found that ANNs gave lower forecasts relative to those obtained by the regression methods used, indicating that ANNs are suitable for interpolation but their use for extrapolation may be limited. Nevertheless, the study showed that ANNs provide a potentially powerful tool in analyzing and forecasting traffic accidents and casualties.
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M. Al-Atawi, Attiyah, Ravindra Kumar, and Wafaa Saleh. "A framework for accident reduction and risk identification and assessment in Saudi Arabia." World Journal of Science, Technology and Sustainable Development 11, no. 3 (July 29, 2014): 214–23. http://dx.doi.org/10.1108/wjstsd-06-2014-0008.
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Purpose – The purpose of this paper is to propose a framework methodology for the assessment and improving accident data collection and analysis in the Kingdom of Saudi Arabia (KSA). Design/methodology/approach – A proposed framework methodology for accident reduction by an integrated process which includes a risk identification, assessment and reduction process is proposed for Tabuk city in KSA. Findings – Tabuk city has a high accident rate. The proposed framework can improve the process of accident data collection and analysis and identify hot spot locations and accident severity. Originality/value – It has been estimated that the annual cost of traffic accidents in Saudi Arabia exceeds six billion US dollars, in addition to other social, health and economic impacts, such as disability, rehabilitation and unemployment due to traffic accident injuries. There are not many studies, if any, in Tabuk in KSA on the investigation and development of a framework for accident reduction.
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Chen, Hou Zhong, and Shan Shan Du. "Identification of Water Traffic Black Spot." Advanced Materials Research 834-836 (October 2013): 1984–89. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1984.
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Through defining Water Traffic Black Spot and analyzing the advantages and disadvantages of identification methods of Road Traffic Black Spot, then choosing Quality Control Method to recognize water area of intensive traffic accidents and applying integrated influential intensity of accident rate based on Systematical Clustering Algorithm into defining the boundary of the area, an effective evaluation method of black spot identification is established, which lays a foundation for the subsequent evaluation work.
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Voevodin, Evgeniy Sergeevich, Kristina Vyacheslavovna Baklanova, Nikolay Viktorovich Shadrin, Andrey Mikhaylovich Askhabov, and Andrey Sergeevich Polyakov. "Audit of road traffic safety on federal roads of Krasnoyarsk Territory." Transport of the Urals, no. 1 (2020): 57–62. http://dx.doi.org/10.20291/1815-9400-2020-1-57-62.
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The paper considers an assignment and an essence of audit of road traffic safety. As an example, the authors have determined a priority section on federal roads of Krasnoyarsk Territory for conducting the audit. On the basis of detailed analysis of road conditions that affect the risk of accidents appearance and research of road traffic accidents mechanism on that section the authors have developed measures on decreasing accident rate. Efficiency of the proposed measures are verified with the use of PC–Crash program for modeling and reconstruction of road traffic accidents.
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Partheeban, Pachaivannan, Elangovan Arunbabu, and Ranganathan Rani Hemamalini. "ROAD ACCIDENT COST PREDICTION MODEL USING SYSTEMS DYNAMICS APPROACH." TRANSPORT 23, no. 1 (March 31, 2008): 59–66. http://dx.doi.org/10.3846/1648-4142.2008.23.59-66.
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Accident costs are an important component of external costs of traffic, a substantial part is related to fatal accidents. The evaluation of fatal accident costs crucially depends on the availability of an estimate for the economic value of a statistical life. This paper aims to develop a model for road accident through systems dynamics approach. To build an accident model, various factors causing the road accident and cost were identified. This model is capable of calculating the accident rate and its costs for the future. In this study the accident caused by bus alone is considered. The cost model is dealt more in this study as it requires more complex assessment. The accident model is built on the year 2000 data and predicted the accidents up to 2020 for every 5‐year interval. The accident model is valuated by comparing the predicted and actual accident data for the year 2005. Three scenarios were studied by changing the income growth rate and discount rate. Finally, best scenario is suggested for implementation. The outcome of the study is highly useful for the planners, administrators and police to make their decisions effectively for road safety investment projects.
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Sun, Yan, and Zhihua Tang. "Investigation and Analysis of Road Traffic Accidents in Hefei City." E3S Web of Conferences 275 (2021): 03065. http://dx.doi.org/10.1051/e3sconf/202127503065.
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Hefei is the largest city in Anhui Province, and its traffic volume is increasing day by day, and traffic accidents will follow. Therefore, aiming at the traffic road safety problems in Hefei, this paper investigates and analyzes the causes of road traffic accidents in Hefei by visiting questionnaires and collecting data, and concludes that drivers’ driving behavior is an important factor leading to traffic accidents, such as driving and calling, changing lanes and overtaking in a hurry, etc. With the increase of traffic demand, it is necessary for relevant departments to make corresponding measures to reduce the traffic accident rate through investigation and analysis, so as to improve the safety ability of road traffic and further ensure the safety of citizens’ lives and property.
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Ivan, K., I. Haidu, J. Benedek, and S. M. Ciobanu. "Identification of traffic accident risk-prone areas under low lighting conditions." Natural Hazards and Earth System Sciences Discussions 3, no. 2 (February 17, 2015): 1453–72. http://dx.doi.org/10.5194/nhessd-3-1453-2015.
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Abstract. Besides other non-behavioural factors, the low lighting conditions significantly influence the frequency of the traffic accidents in the urban environment. This paper intends to identify the impact of low lighting conditions on the traffic accidents in the city of Cluj-Napoca. The dependence degree between lighting and the number of traffic accidents was analyzed by the Pearson's correlation and the relation between the spatial distribution of traffic accidents and the lighting conditions was determined by the frequency ratio model. The vulnerable areas within the city were identified based on the calculation of the injured persons rate for the 0.5 km2 equally-sized areas uniformly distributed within the study area. The results have shown a strong linear dependence between the low lighting conditions and the number of traffic accidents in terms of three seasonal variations and a high probability of traffic accidents occurrence under the above-mentioned conditions, at the city entrances-exits, which represent also vulnerable areas within the study area. Knowing the linear dependence and the spatial relation between the low lighting and the number of traffic accidents, as well as the consequences induced by their occurrence enabled us to identify the high traffic accident risk areas in the city of Cluj-Napoca.