scholarly journals Road Accidental Analysis and Identify the Black Spot

Author(s):  
Jaffar Hussian Meer ◽  
Sukhdeep Singh ◽  
Komalpreet Singh

The increase in motor vehicles accompanied with expansion of roads has brought with it the challenge of addressing the adverse influence of road traffic accidents. Road incidents are a nationwide cataclysm with ever increasing trend which incurs a human health and development challenge and highly affect the human capital development of every nation. A mortality rate database (WHO, 2002) assures that India has highest number of accidents. Accident Black Spots are those locations on the road which have higher severity of accident either in terms of numbers or in terms of injuries. In this paper, efforts have been made to identify the location of accident black spots on national highway from singhpora pattan to panthachowk srinagar.The present era accidents are contributing major deaths worldwide due to increase in vehicular traffic.It has been estimated that every year 1.38 lakh lose their limbs and 6 lakh people get injured in road accidents in india.our country incurs a loss of 58000 crore each year due to road accidents. The most used roads to travel from jalandhar in punjab to uri in kashmir is NH-1A.The old name for NH-44 is NH-1A which was replaced after renumbering of all national highways in year 2010. In this report,the analysis includes study of some major accident spots or busy intersections in the NH-1A in between Pantha chowkh Srinagar to Singhpora Pattan.The study includes visiting sites,collecting required data for analysis and derives the results and remedies from what we had got. This report will be containing the material surveyed,pictures of road at different locations ,road details,figures,material for understanding of the unknown and finally the conclusion

In India road accidents are very serious problem because of large population and high traffic density of vehicles. Most of the road accidents occur mainly due to the negligence of driver and poor infrastructure only a few accidents occur due to the technical error of vehicles. The main purpose of this research paper is prevention of road traffic accidents and improvement of road safety in Shimla. Road safety is very important aspect of today’s life, so it is important that everybody should aware about road safety. To do this study a section of 12km length is chosen between Panthaghati to Dhalli in district Shimla on NH 5 where accidents black spots are identified for the section by analyzing secondary data used to prevent road accidents. In this study primary data is used for observing the road conditions and secondary data is used to find accidents black spot. Black Spot is a point or a place on the road where road accident occurs repeatedly one after another which is known as accident black spot. To identify these black spots we use weighted severity index (WSI) method. It is one the most reliable and effective method for determining the most proven accidents black spots. Shimla is a hilly area and it has narrow roads, blind curve and black spots which increase the chances of road traffic accidents. In past recent years road traffic accidents are increasing in Shimla and this study deals with identification of major issues causing road traffic accidents. This research paper helps to improve the road safety in Shimla because in this study the analysis has been done to identify the major problems responsible for gradually increasing road accidents. This research paper is also used in future research paper as reference purpose and it will also provide an overview to other researchers who want do their research on similar kind of topics.


2021 ◽  
Vol 1202 (1) ◽  
pp. 012034
Author(s):  
Valentina Amare ◽  
Juris Smirnovs

Abstract The highest number of road accidents occurs at junctions. One of the aims of traffic organisation is to improve traffic safety in these areas. Based on a variety of indices – road capacity, points of conflict, number, and severity of road traffic accidents – different alternatives for junctions are evaluated. However, the road network has many junctions and roads serve to travel from point "A" to point "B" at a given time. Therefore, one of the most important tasks when addressing the issue of road safety is to find a rational way of improving the safety without losing the importance of the road. The aim of this paper is to analyse the impact of different junctions on the road network and basing on actual data develop a method for the evaluation of different types of junctions with respect to road class.


Road accidents are one of the causes of disability, injury and death. As per the latest road accident data released by the Ministry of Road Transport & Highways (MoRTH), the total number of accidents increased by 2.5 percent from 4,89,400 in 2014 to 5,01,423 in 2015. The analysis reveals that about 1,374 accidents and 400 deaths take place every day. Every single year, it has been estimated that over three lakh persons die and 10-15 million persons are injured in road accidents throughout the world. According to the analyses, statistics of global accident indicate that in developing countries, the rate of fatality per licensed vehicle is very high as compared to that of industrialized countries. A road stretch of about 500 metres in length in which either ten fatalities or five road accidents (involving grievous injuries/fatalities) took place during last three calendar years, on National Highways is considered as a road accident black spot according to MoRTH, Government of India. In the present study the identified black spots of Haridwar and Dehradun city were included comprising of a total of 81 black spots out of which there were 49 black spots which were identified in Dehradun followed by 32 black spots in Haridwar. The present study was an attempt to carry out the prioritization of these identified blackspots with respect to the factors that were considered to evaluate accident prone locations on the road. The identified black spots were then prioritized using the classification scheme (ranking from low to high).The study reveals that the advantage of using this approach for prioritizing accident black spots on roads is that it requires very less additional data other than the road network maps.


2019 ◽  
Vol 10 ◽  
pp. 45-77
Author(s):  
Siti Khadijah Mohd Khair ◽  
Nuarrual Hilal Md Dahlan ◽  
Harlida Wahab

ABSTRAK Aspek liabiliti dan pemberian pampasan ganti rugi merupakan perkara utama dalam membincangkan isu kesalahan kecuaian di dalam kes kemalangan jalan raya. Artikel ini bertujuan untuk menganalisa konsep liabiliti dalam kemalangan jalan raya menurut perundangan Islam dengan memfokuskan kepada kesalahan kecuaian dengan menggunakan pendekatan kualitatif. Dhaman atau denda ganti rugi dalam kajian ini akan menekankan prinsip khusus dan pendekatan ke atas aspek perlanggaran di jalan raya di dalam perundangan Islam. Kajian perpustakaan digunakan untuk liabiliti di dalam kes-kes perlanggaran berteraskan Al¬Quran, sunnah, ijma’ dan qiyas. Seterusnya ia menghubungkaitkan pemakaian konsep ini dengan kesalahan kecuaian menyebabkan perlanggaran di dalam kemalangan jalan raya. Dapatan kajian menunjukkan prinsip ‘penyebab’ dalam perundangan Islam amat jelas pemakaian dan perkaitannya di dalam menentukan liabiliti sama ada kes perlanggaran berlaku di daratan, lautan atau di ruang udara. Konsep liabiliti turut terpakai bagi menentukan tanggungan kecuaian dan pemberian pampasan ganti rugi oleh pihak-pihak yang terlibat dalam membina struktur jalan, jambatan, terowong dan lain-lain. Konsep ini juga berhubung dengan jalan raya sekiranya tanggungan bukan pada pemandu yang tidak bersalah dan tidak cuai. ABSTRACT The aspects of liability and compensation have been key points when discussing the issue of negligence in road traffic accidents. This article aims to analyze the concept of liability in road accidents, in accordance to Islamic law, that focuses on negligence by using a qualitative approach. The application of ‘dhaman’ or the compensation of damages, is a broad concept that will be examined in this study. Furthermore, this study will review the specific principles and approaches on collisions of road traffic within the Islamic law. The methodology carried out employs the use of library study to analyze the concept of liability in cases of collisions, based on the Al-Quran, sunnah, ijma’ and qiyas with regards to the application of ‘dhaman’ on the negligence that have resulted in collisions from road accidents. The research outcome suggests that the ‘causal’ principle in Islamic law is very clear on its application and relevance in determining the liability of either a case of collision that has occurred on the road, ocean or in air. The concept of liability is also applied to determine the liability of negligence and awarded compensation by the parties that are involved in constructing the roads, bridges, tunnels and other structures that are associated with the road, if the liability does not fall upon the innocent and negligent drivers.


2021 ◽  
Vol 58 (2) ◽  
pp. 180-202
Author(s):  
Paweł Musiał

Purpose: The aim of the article was to analyze motorcycle accidents in Poland on the basis of statistical data from the Polish Police Headquarters from 2019. The author presents the collected data in the form of charts, broken down by causes, the number of events in individual months, and the age of the perpetrators, injured and victims. The work also deals with the issue of dealing with victims of motorcycle accidents as part of first aid and rescue. Introduction: Every year, the number of casualties on Polish roads is increasing. Accidents affect all forms of transport and communication. Modern technologies used in the production of motor vehicles, a number of forms of improving their skills available to drivers offered by training entities and the improving infrastructure of roads in the country predispose to increased traffic on Polish roads. Drivers often lose control of their vehicles, forgetting about the potential dangers of recklessness and irresponsibility. Various types of traffic incidents involving these vehicles then take place. The chances of motorcyclists during traffic accidents, despite the security measures used in helmets and protective clothing, are small. Methodology: The main research tool used during the work on the article was the analysis of data contained in the documentation. The data presented in this study constitute the material entitled Road accidents in Poland in 2019 provided by the General Police Headquarters (KGP) Road Traffic Office. The author has made a statistical analysis of the above-mentioned data to visualize road accidents involving motorcyclists and their consequences. The events in which a motorcyclist was injured and the most common causes of accidents caused by motorcyclists, the age of the perpetrators of accidents – motorcyclists, as well as fatalities and injuries in these road accidents are presented. Conclusions: In 2019, motorcyclists made up a large group of people who died or were seriously injured in road accidents. The number of traffic accidents and the number of killed motorcyclists is greater than 2018. Data analysis allowed to define the most common causes of accidents involving motorcyclists caused by drivers of other vehicles. These include: failure to give right-of-way and incorrect behavior on the road while driving, such as turning, changing lanes or overtaking. On the other hand, the most common causes of accidents caused by motorcyclists are: excessive speed, incorrect overtaking, no safe distance from other vehicles, failure to give right-of-way. Keywords: motorcycle accidents, emergency medical team, multi-organ trauma Type of article: review article


2011 ◽  
Vol 97-98 ◽  
pp. 360-366
Author(s):  
Jian Cheng Sun ◽  
Lin Song Wang

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.


2020 ◽  
Vol 14 (1) ◽  
pp. 1-9
Author(s):  
Beti Irma Sari ◽  
◽  
Danny Setiawan ◽  

Toll roads can reduce travel time to be shorter, easier, more convenient, and smooth. However, many road users neglact safety because it’s too comfortable with road conditions that are straight, smooth, and without obstacles. Many road users who drive vehicles exceed the required traffic signs, causing traffic accident. Within 10 months of the operation of the Ngawi-Kertosono toll road on April 1, 2018, until February 24, 2019, traffic accidents reached 59 accidents on the Madiun-Wilangan toll road. From these data, it’s necessary to study the causes of toll road traffic accidents in accident-prone areas. As a first step, it’s necessary to determine the black site and black spots and the relationship between the geometric factors of the road to reduce the number of traffic accidents on the Madiun-Wilangan toll road. This calculation analysis uses the Z-Score and Cusum method by finding the black spot and black site areas. Based on the results of the analysis there are accident-prone areas on the toll road that is from KM 602 to 622 where the Z-Score is 1.733> 0 and Cusum 7.64> 0 so that the accident-prone area can be found on the Black Site and Black Spot results on the road location Madiun, Caruban and Caruban-Wilangan toll road. Suggestions from research need to be conducted outreach or outreach related to traffic and road safety regulations that often have accidents.


2019 ◽  
Vol 296 ◽  
pp. 01001
Author(s):  
Feng Xia ◽  
Ya-dong Yang

The proposal to build the “Yangtze River Golden Waterway” strategy has enabled the shipbuilding volume of the Yangtze River trunk to grow rapidly. With the increase of ship traffic flow, the Yangtze River water traffic safety is facing severe challenges. This paper draws on the road traffic black spots and existing research methods of water traffic accidents and the definition of water traffic black spots. The DBSCAN algorithm and the accident-level weighted average method are used to establish the blackpoint identification model for waterborne traffic. The model is applied to the Yangtze River mid-stream Wuhan Port 2013-2017 water traffic safety accident as an example. Ten black spots and corresponding boundaries are identified. The black point analysis method used in this paper can effectively quantitatively analyze the spatial distribution and characteristics of water traffic black spots, which can provide a new theoretical basis for ensuring the safety of water traffic.


Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.


2021 ◽  
pp. 38-40
Author(s):  
А.Р. Исмагилова

В статье раскрываются полномочия сотрудников подразделений пропаганды Государственной инспекции безопасности дорожного движения в целях профилактики дорожно-транспортных происшествий и травматизма на дороге. The article reveals the powers of the employees of the propaganda units of the State Traffic Safety Inspectorate in order to prevent road accidents and injuries on the road.


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