scholarly journals A Brief Overview of Road Accidents and Recent Preventive Methodologies for Accident Hotspots in the United Arab Emirates

2022 ◽  
Author(s):  
Ijaz Ali
Keyword(s):  
United Arab Emirates ◽  
Road Safety ◽  
High Speed ◽  
Descriptive Analysis ◽  
Safety Data ◽  
Road Accident ◽  
Maximum Speed ◽  
Road Accidents ◽  
Speed Limits ◽  
Young Males

Abstract This paper highlights major causes of road accidents in the United Arab Emirates (UAE) and explores the possibility of reducing them through modern in-vehicle control technologies. Mostly, road safety data from the Global Road Safety Facility (GSRF), Road Safety Polices and Regulations for UK and UAE have been reviewed for comparison and analysis. It contains a descriptive analysis of road accident data which was taken from Ministry of Interior (MOI) - UAE website. It shows how the Pareto Principle applies to most of the road accidents in the UAE with young males’ poor driving habits and higher maximum speed limits being the major causes and, a systematic approach as per the Nilsson Power Model, to tackle these issues. It ends with the conclusion that, although high speed limits on urban roads and highways are some of the critical factors in causing dangerous road accidents but, it can be tackled with by implementing strict road safety policies and enforcing them with modern in vehicle technologies.

Road Safety Model: Some Fundamental Ideas

1996 ◽  
Vol 1563 (1) ◽  
pp. 48-57 ◽  
Author(s):  
Francis P. D. Navin ◽  
Arthur Bergan ◽  
Guanyu Zhang
Keyword(s):  
Developing Countries ◽  
Road Safety ◽  
Developed Countries ◽  
Road Accident ◽  
Personal Safety ◽  
Road Accidents ◽  
Fundamental Relationship ◽  
The Social ◽  
Special Cases ◽  
Accident Statistics

A fundamental relationship has been developed that explains road accident statistics in developed and developing countries. The model uses two variables, traffic hazard measured as deaths per vehicle and motorization measured as vehicles per person, to estimate personal hazard as deaths per person. Special cases of the model are those by Smeed, Trinca et al., and Koornstra. The model of fatalities has two extremes. Early motorization has high traffic hazard and personal safety is low and increasing. Full motorization is characterized by a moderate and falling traffic hazard and a low and decreasing personal safety. Between these extremes, there is a maximum number of fatalities per population. Models for personal injury and total road accidents in developed countries appear to follow a similar trend. Available world data fit the proposed relationships well. The models allow planners and engineers to estimate the future maximum road fatalities for developing countries. The model has been extended to incorporate an automobile ownership model that explains some of the growth in motorization. A traffic hazard model is also outlined, in part on the basis of the ideas developed by Koornstra. The extended models should allow a more detailed analysis of some of the social and engineering factors that contribute to road safety.

scholarly journals The Effects of Roadside Hazards on Road Accident Severity

2019 ◽  
Vol 49 (2) ◽  
pp. 319-339 ◽  
Author(s):  
Marcin Budzyński ◽  
Kazimierz Jamroz ◽  
Łukasz Jeliński ◽  
Anna Gobis
Keyword(s):  
Road Safety ◽  
Road Accident ◽  
Road User ◽  
Road Accidents ◽  
Safety Equipment ◽  
Design Rules ◽  
The Road ◽  
Run Off ◽  
Safety Strategies ◽  
Accident Severity

Abstract The risk of becoming involved in an accident emerges when elements of the transport system do not operate properly (man – vehicle – road – roadside). The road, its traffic layout and safety equipment have a critical impact on road user safety. This gives infrastructural work a priority in road safety strategies and programmes. Run-off-road accidents continue to be one of the biggest problems of road safety with consequences including vehicle roll-over or hitting a roadside object. This type of incident represents more than 20% of rural accidents and about 18% of all road deaths in Poland. Mathematical models must be developed to determine how selected roadside factors affect road safety and provide a basis for new roadside design rules and guidelines.

scholarly journals Analysis and design improvement of high class roads’ arched sections in Poland

2018 ◽  
Vol 63 ◽  
pp. 00003
Author(s):  
Joanna Żukowska ◽  
Paweł Słomiński
Keyword(s):  
Road Safety ◽  
High Speed ◽  
Road Network ◽  
Social Consequences ◽  
Road Accidents ◽  
Vertical Alignment ◽  
Complex Issue ◽  
Analysis And Design ◽  
Design Improvement ◽  
Road Geometry

Although Polish road network standards, in particular higher classes of roads are improving dynamically the number of fatalities on the network is still higher that EU’s average. Ensuring road safety and high maintaining standards is a complex issue and one that poses a major challenge for all road authorities. Road accidents at high speed roads characterize specially serious material and social consequences, thus research into road safety is of a special interest and numerous analyses and debates are being conducted worldwide as well as in Poland. In this paper the authors provide the results and recommendations coming from the analysis of accidents which happened on high speed roads during the heavy rainfall. The analysis of incidents which happened on sections with changing vertical alignment shows that a properly designed road geometry does not eliminate road accidents or conflicts.

scholarly journals Analysis of Road Accidents Using Data Mining Techniques

2018 ◽  
Vol 7 (3.10) ◽  
pp. 40 ◽  
Author(s):  
Ms Nidhi. R ◽  
Ms Kanchana V
Keyword(s):  
Road Safety ◽  
Preventive Measures ◽  
Road Accident ◽  
The State ◽  
Road Accidents ◽  
Bayesian Techniques ◽  
Vehicle Accidents ◽  
The People ◽  
The Government ◽  
Using Data

Road Accident is an all-inclusive disaster with consistently raising pattern. In India according to Indian road safety campaign every minute there is a road accident and almost 17 people die per hour in road accidents. There are different categories of vehicle accidents like rear end, head on and rollover accidents. The state recorded police reports or FIR’s are the documents which contains the information about the accidents. The incident may be self-reported by the people or recorded by the state police. In this paper the frequent patterns of road accidents is been predicted using Apriori and Naïve Bayesian techniques. This pattern will help the government or NGOs to improve the safety and take preventive measures in the roads that have major accident zones.  

scholarly journals Contactless Automated Express Evaluation of Damages to a Car Body by Visual Parameters

2019 ◽  
Vol 18 (6) ◽  
pp. 471-475
Author(s):  
M. Tarasovа ◽  
N. Filkin ◽  
R. Yurtikov
Keyword(s):  
Road Safety ◽  
Human Factor ◽  
Road Accident ◽  
The Body ◽  
Road Accidents ◽  
Car Body ◽  
The Road ◽  
Accident Data ◽  
Established Fact ◽  
Time Required

Explosive development of computer technologies and their availability made it possible to extensively focus nowadays on emerging state-of-the-art technologies, digitalization, artificial intelligence, and automated systems, including in the field of road safety. It would be reasonable to implement some technical devices in this respect to remove human factor and automate some procedures completed at the scene of a road accident. Automatically filled up road accident inspection records and, mainly, diagrams of the accident will reduce time required for the examining inspector and remove human factor. Ultimately, an automated road accident data sheet is suggested to be established. To tackle the issues above requires a technique to determine whether the produced damages to the car body result from the same road accident. The fact remains that there are circumstances when even vehicle trace examination would not do the job, in case of multiple corrosive damage to the body. In view of the above, a technique designed to determine whether the damages produced are caused at the same point of time gains its ground. A technique for a time-related corrosion examination is offered herein to cut expenditures for diagnostics and expert examination of road accidents. That will also eliminate the matters of argument with respect to the road accident evaluation in court. Among added benefits of the technique are that it is simple, quick to implement, and requires no human involvement. It is a well-established fact that each chemical element or a mixture of substances has its own timeinvariant color attributes which allows to determine availability of one or another substance during corrosion of metal surfaces, by emission from the surface in question.

scholarly journals Identification of Road Accident by using Black Spot Method Between Panthaghati to Dhalli Road

2020 ◽  
Vol 9 (2) ◽  
pp. 723-728
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Research Paper ◽  
Road Accident ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
The Road ◽  
Black Spots

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.

scholarly journals Experiences and Challenges in Fatality Reduction on Polish Roads

2019 ◽  
Vol 11 (4) ◽  
pp. 959 ◽  
Author(s):  
Kazimierz Jamroz ◽  
Marcin Budzyński ◽  
Aleksandra Romanowska ◽  
Joanna Żukowska ◽  
Jacek Oskarbski ◽  
...  
Keyword(s):  
Road Safety ◽  
Road Accident ◽  
Road User ◽  
Road Accidents ◽  
Safety Measures ◽  
Number Of Factors ◽  
Development Goals ◽  
Difficult Challenge ◽  
National Road ◽  
Vision Zero

According to the UN, road safety is the key to achieving sustainable development goals, yet the complexity of how road accidents happen makes this a difficult challenge leaving many countries struggling with the problem. For years, Poland has infamously been one of the EU’s top countries for road-accident fatality rates. Despite that, it has made significant progress in the last thirty years with a fatality reduction of more than 60%. A number of factors have contributed to this result: improving the socioeconomic situation, improving road safety measures, changing road user behaviour and changing national road safety programmes. This article presents Poland’s approach to road safety and, in particular, Vision Zero, adopted in 2005. Poland’s road safety changed over the years as the country learned from its successes and failures. Tools for forecasting fatalities were developed and used to identify the main factors that have helped to reduce deaths. An assessment was conducted on how Poland could implement Vision Zero until 2050 under different road safety scenarios. It was found that in order to achieve the EU’s goal for 2030, Poland must reduce fatalities to 1200. While it is an ambitious goal, it is also an important step towards zero fatalities in 2050.

scholarly journals Statistical Overview of Factors Influencing Traffic Accidents Severity On El-Brega Coastal Freeway in Libya

2019 ◽  
Vol 13 (1) ◽  
pp. 154-161
Author(s):  
Buseif Omar Mohamed ◽  
Nur Izzi Yusoff ◽  
Muhammad Mubaraki ◽  
Sri Atmaja Rosyidi
Keyword(s):  
Road Safety ◽  
High Speed ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Influence Factor ◽  
Road Traffic ◽  
Seat Belt ◽  
Descriptive Analysis ◽  
Binary Logistic Regression Model ◽  
Accident Injury

Background: Globally, Road Traffic Accidents (RTAs) are one of the significant causes of fatality and injury. In Libya, RTAs have resulted in disabilities and were the third leading cause of death. However, there is a lack of information on RTAs and road safety in Libya. Objective: The present study aims to fill the knowledge gap by performing a statistical analysis to identify the factors associated with road accident severity in El-Brega Coastal Freeway. Methods: RTAs data extracted from police investigation reports in Ajdabiya Municipality for the period from 2001 to 2010. Then descriptive analysis and Binary logistic regression model (BLM) are applied to analyzing the data. Results: Descriptive analysis results showed that between 2001 and 2010, approximately 45% of RTAs in Ajdabiya Municipality occurred on El-Brega Coastal Freeway, and more than 1225 individuals lost their lives or sustained injuries in these RTAs. Furthermore, Sixty-two percent (n = 137) of those who died in accidents were from the 20–45 age group. BLM Results concluded that only eight predictors have statistical significant with accident injury severity. Five of them increase the likelihood of injury severity. A head-on collision is the prime influence factor to increase injury severity odds, followed by high-speed driving, Weekends, horizontal curves, and driver’s age. While accident injury tends to be less severe with the other predictors like rollover collision, rear-end collision, and accidents involving animals. Conclusion: Thus, implementing the use of seat-belt and speed control regulations, with activating ambulance services are the urgent countermeasures to enhance road safety.

scholarly journals Brainy Road Accident Mitigation System

2021 ◽  
Vol 9 (VIII) ◽  
pp. 249-251
Author(s):  
Dr. B. M. Vidyavathi
Keyword(s):  
Road Safety ◽  
Large Scale ◽  
Road Transport ◽  
Road Accident ◽  
Road Accidents ◽  
Road Crashes ◽  
The Road ◽  
Road Crash ◽  
On The Road ◽  
The City

Many precious lives are lost due to road accidents because of over speeding and negligent driving every day. This is the matter of great concern for departments that deal with road safety and for the citizens. It is estimated that 80% of crashes and 65% of near collisions are due to driver’s lack of attention to traffic for three seconds before the event. The number of road crash deaths has increased by 31% from 2007 to 2017. As per the survey on the road accidents in India, according to the Ministry of Road Transport and Highways, 1, 50,785 people were killed and another 4, 94,624 were injured in 4, 80,652 road crashes in India in 2016. Now day’s accidents are taking place at large scale. Majority of the accidents occurs due to the over speeding of vehicles, though there are speed limiting boards placed at the roadside of highways also at the road side in the city. But none of vehicles (drivers) follows the speed mentioned in the speed limit boards, due to which accidents occurs.

scholarly journals Predicting and Preventing Recommender System for Telangana Road Accidents

2020 ◽  
Vol 8 (6) ◽  
pp. 1353-1358
Keyword(s):  
Road Safety ◽  
Recommendation System ◽  
Similarity Measures ◽  
Road Accident ◽  
Road Accidents ◽  
Driver Behaviour ◽  
Accident Prediction ◽  
The Road ◽  
Model Recognition

Today people are suffering with road accidents in world wide. Analyzing these Road accidents are the major challenge in identifying and predicting primary features related with catastrophes. All these features are valuable for anticipatory computes to conquer road mishaps. Integrating various analytics techniques can get better model recognition and avoid road mishaps. As road safety growing quiet apprehension, speedy analytics observes all safety techniques in dynamic to spot malfunction that may signifies road mishaps on identifying key features related with road , mishaps in Telangana state. In our propose work, a framework to analyze the road mishap with classification of accidents and clustering, which analyze mishap data of Telangana stated district wise. The proposed framework describes the recommendation system for predicting road accidents. For this, classify the road accidents into fatal, major and minor. We implemented district wise data into clustering and applying enhanced k-mean algorithm. Further, implemented similarity measures to detecting the places where the severity of accidents happened and also analysing the driver behaviour analysis while accidents occur. The implementation result reveals that the road accident prediction exhibits enhance in certain areas and those areas exists in districts should be the major concern to acquire anticipatory measure to conquer the road mishaps.

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