scholarly journals The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yau-Ren Shiau ◽  
Ching-Hsing Tsai ◽  
Yung-Hsiang Hung ◽  
Yu-Ting Kuo
Keyword(s):  
Traffic Engineering ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Principal Component ◽  
Recursive Feature Elimination ◽  
Road Traffic Accidents ◽  
Factors Affecting ◽  
The Road ◽  
On The Road ◽  
Central Taiwan

With the ever-increasing number of vehicles on the road, traffic accidents have also increased, resulting in the loss of lives and properties, as well as immeasurable social costs. The environment, time, and region influence the occurrence of traffic accidents. The life and property loss is expected to be reduced by improving traffic engineering, education, and administration of law and advocacy. This study observed 2,471 traffic accidents which occurred in central Taiwan from January to December 2011 and used the Recursive Feature Elimination (RFE) of Feature Selection to screen the important factors affecting traffic accidents. It then established models to analyze traffic accidents with various methods, such as Fuzzy Robust Principal Component Analysis (FRPCA), Backpropagation Neural Network (BPNN), and Logistic Regression (LR). The proposed model aims to probe into the environments of traffic accidents, as well as the relationships between the variables of road designs, rule-violation items, and accident types. The results showed that the accuracy rate of classifiers FRPCA-BPNN (85.89%) and FRPCA-LR (85.14%) combined with FRPCA is higher than that of BPNN (84.37%) and LR (85.06%) by 1.52% and 0.08%, respectively. Moreover, the performance of FRPCA-BPNN and FRPCA-LR combined with FRPCA in classification prediction is better than that of BPNN and LR.

scholarly journals A Comparison of Nowruz 2016 and Nowruz 2017 Accidents Data in Iran

2020 ◽  
Vol 5 (2) ◽  
pp. 71-78
Author(s):  
Abdolmajid Rahmani Daranjani ◽  
◽  
Mahmoud Rezaeizadeh ◽  
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Road Transport ◽  
Warning Signs ◽  
World Health ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Factors Affecting ◽  
The World ◽  
On The Road

Background: Road traffic accidents are currently among the most essential public health issues. According to the World Health Organization, given the rapid growth of road transport globally, road traffic accidents could be the third leading cause of death and disability in the world by 2020. This article examined the role of the human factor in road accidents during the Nowruz holidays, as a major cultural event in Iran. Materials and Methods: We explored the data of road accidents that occurred in Nowruz in 2016 and 2017 in Iran. Traffic accident data concerning the Nowruz holidays of 2016 and 2017 were collected by census method of sampling and based on the report of highway police. Additionally, the frequency of these accidents was analyzed according to travel time, accident type, gender, age, education, and vehicle type in different provinces. Results: The present study findings suggested that among human factors affecting Nowruz accidents in 2016 and 2017, the highest frequency belonged to unnecessary speeding. As in 2016 and 2017, it was the main responsible characteristic for 56.42% and 55.01% of accidents, respectively. In Nowruz 2016, the provinces of Tehran, Khorasan Razavi, Isfahan, Fars, and Khuzestan; in Nowruz 2017, the provinces of Tehran, Isfahan, Khorasan Razavi, Fars, and Gilan encountered the highest rates of accidents leading to injuries and deaths. Conclusion: To control unnecessary speeding and regulations disregard, planning for culturizing and the community-level education are suggested. Besides, increasing the quality and intelligence of vehicles and the construction of sliders, vertical lines on the road, warning signs, and billboards could help reduce the rate of accidents. Creating a working group of experts in psychology, traffic, etc., to study the pathology of dangerous behaviors, useless haste, and disregard for regulations and providing solutions could also be effective.

An epidemiological study on the road traffic accidents from hills of north India

2014 ◽  
Vol 2 (2) ◽  
pp. 71
Author(s):  
SunilKumar Raina ◽  
BP Gupta ◽  
Narinder Mahajan ◽  
Ashok Bhardwaj ◽  
Anmol Gupta
Keyword(s):  
Epidemiological Study ◽  
Traffic Accidents ◽  
Road Traffic ◽  
North India ◽  
Road Traffic Accidents ◽  
The Road ◽  
On The Road

scholarly journals KONSEP LIABILITI DAN PEMBERIAN PAMPASAN GANTI RUGI DALAM KEMALANGAN JALAN RAYA MENURUT PERUNDANGAN ISLAM

2019 ◽  
Vol 10 ◽  
pp. 45-77
Author(s):  
Siti Khadijah Mohd Khair ◽  
Nuarrual Hilal Md Dahlan ◽  
Harlida Wahab
Keyword(s):  
Traffic Accidents ◽  
Islamic Law ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
The Road ◽  
Key Points ◽  
Broad Concept ◽  
Research Outcome ◽  
On The Road

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.

scholarly journals Road Traffic Accidents in Kathmandu Valley

2018 ◽  
Vol 6 ◽  
pp. 37-44
Author(s):  
Krishna Prasad Dhakal
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Weather Condition ◽  
Document Analysis ◽  
The Other ◽  
Kathmandu Valley ◽  
Road Traffic Accidents ◽  
The Road ◽  
On The Road ◽  
Shed Light

This article presents the information received from documents available in the Police Head- Quarters, Operation Department, Traffic Directorate, Naxal, Kathmandu and Metropolitan Traffic Police Division, Kathmandu along with some journals and websites covering five years from 2069 to 2074. The main aim of carrying out this research was to shed light on the road traffic accidents of Kathmandu valley. The data have been presented through document analysis and analyzed here using both quantitative and qualitative techniques. The major findings include that Road Traffic Accidents are the outcomes of many factors ranging from the negligence of the driver to the weather condition and the condition of road. Despite the dense presence of government and its bodies, the study showed that maximum number of road traffic accidents occur in Kathmandu valley. Youngsters riding bikes and driving cars involved in accident are found maximum in number. Because of the immediate rescue and hospitalization, the number of deaths in Kathmandu valley was found to be decreasing in comparison to the other parts of Nepal.Journal of Health Promotion Vol.6 2008, p.37-44

The hidden positive effects of COVID-19 pandemic

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 276-279
Author(s):  
Payal Sudhakar Kamdi ◽  
Meena Shamrao Deogade
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Disease Spread ◽  
Road Traffic Accidents ◽  
Short Term ◽  
The Road ◽  
Positive Effects ◽  
Specific Factors ◽  
Basic Concepts ◽  
On The Road

The Coronavirus disease spread like fire, and millions of cases have been reported worldwide, and thousands have died. So, many countries around the globe ordered lockdown to stop the spread of the Coronavirus, which caused significant economic fallout. But every incident has two aspects, positive and negative. This article aimed to study the positive effects of COVID-19 pandemic on some specific factors and to study this topic, datais collected from various websites, web blogs, newspapers and reports on the internet. This pandemic enforced the cancellation or postponement of multiple events, which leads to a reduction in travelling and subsequently there were fewer vehicles on the road, which leads to a decrease in air and water pollution. Road traffic accidents and crime rate had come down suddenly. Due to lockdown, there was a reduction in transportation and industrial activity which allowed Mother Nature to recharge and replenish. Due to lockdown, people spent quality time with their family, fulfilled their hobbies, learnt many new skills and understood the importance of sanitation, hand hygiene and social distancing. This pandemic is a lesson for us to learn many new things. This crisis revealed that there is a need to improve our healthcare system and clinical researches. Immunity of an individual can play an important role to fight these kinds of viral diseases, and these diseases can be avoided by simply following the basic concepts of the Ayurveda. This lockdown showed the short-term depletion in greenhouse gas emissions, but this is not an option for long-lasting climate change, and we have to think about a sustainable solution to save the environment.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

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.

Analysis of Driver's Characteristics Based on Internet of Vehicles

2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Classification Model ◽  
Economic Losses ◽  
Lane Changing ◽  
Internet Of Vehicles ◽  
Factors Affecting ◽  
The Road ◽  
The University ◽  
Driver’S Characteristics

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

scholarly journals An overview on pedestrians involved in traffic accidents in Latvia: Years 2010-2014

2018 ◽  
Vol 40 ◽  
pp. 01004 ◽  
Author(s):  
A. Bukova-Zideluna ◽  
A. Villerusa ◽  
A. Lama
Keyword(s):  
Injury Risk ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Capital City ◽  
Winter Period ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Related Factors ◽  
The Road ◽  
Adverse Weather

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.

A study on Private Car Accidents

2021 ◽  
Vol 11 (1) ◽  
pp. 10-24
Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Economic Losses ◽  
Moving Vehicle ◽  
The Road ◽  
Lost Productivity ◽  
On The Road

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.

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