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Journal articles on the topic 'Motoring Accidents'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Muhd Khairul Najmi bin Nasir and Athirah Azhar. "Penglibatan Golongan Belia dan Cadangan dalam Mengurangkan Kegiatan Mat Rempit." Trends in Undergraduate Research 7, no. 1 (2024): h12–23. http://dx.doi.org/10.33736/tur.5753.2024.

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One of the reasons of societal issues among young people nowadays might be attributed to ‘Mat Rempit's’ or ‘merempit's’ actions. The three objectives of the study are to determine the causes teens involved in Mat Rempit activities, to identify the effects to the teens, and to suggest steps may be taken to prevent Mat Rempit activities among teenagers. This study employs a qualitative methodology by interviewing five respondents. The sample of respondents was chosen randomly. Thematic analysis was used to analyse the data. From the findings peer pressure, social media, money, and self-interest

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Ali, Nadir, Sadaf Sajid, Fatima Arshad, Usama Ahmad, and Humza Naveed. "Motorization Rate Resulting in a Road Traffic Accident an Epidemiological Audit of Injuries and Factors in the Medium-Scaled Cities of Punjab, Pakistan." Pakistan Journal of Medical and Health Sciences 16, no. 7 (2022): 347–50. http://dx.doi.org/10.53350/pjmhs22167347.

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Background: Motor vehicles are increasing exponentially day by day all over the world with a global increasing prevalence of road traffic accidents. This situation of mass motorization has affected developing countries like Pakistan as well. Due to a lack of popper legislation and implementation of the law, the RTA situation is worse and requires proper research of epidemiological factors and medico-legal evaluation of injuries. Purpose: To see the pattern of RTA injuries and various epidemiological factors influencing them in the medium-scaled city like Sargodha, Gujranwala, Sialkot, and Guja

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Balkmar, Dag. "Se upp - allt fler kvinnor kör som män! Nollvisionen som diskurs och problemet män i trafiken." Tidskrift för genusvetenskap 30, no. 2-3 (2022): 97–118. http://dx.doi.org/10.55870/tgv.v30i2-3.3745.

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Sweden is the first country in the world to have introduced the so-called Vision Zero (Nollvisionen). This is an ethical approach suggesting that road safety cannot be traded for mobility. Since the beginning of mass-motoring, men have been over-represented in traffic safety statistics, in terms of both “causing” accidents and casualties. Against the background of the Swedish Vision Zero, it is quite extraordinary how little attention work on traffic safety has paid to men’s over-representation in Swedish fatal road accidents (90%), and (auto)mobility as a way of doing gender. The present arti

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Damayanti, Fadila Ardi Putri, Muhammad Zainul Arifin, Fauzul Rizal Sutikno, and Muh Miftahulkhair. "Identifying the vehicle accident models based on driving behavior factors using structural equation modeling." Eastern-European Journal of Enterprise Technologies 3, no. 3 (129) (2024): 85–93. http://dx.doi.org/10.15587/1729-4061.2024.306781.

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The increase in population is accompanied by an increase in the number of vehicles. It is inevitable that the number of vehicle accidents will also increase, which can be caused by various factors. Driver factors reviewed in this study include socioeconomic characteristics, movement characteristics, accident characteristics, and driver behavior characteristics. the purpose of this study is to study the vehicle accident model using interviews and Driving Behavior questionnaires with a total of 307 motorist respondents who have experienced accidents. Driver factors reviewed in this study include

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Farrán, José I. "No Turns Allowed: Controlling Vehicles Turning in Front of Light Rail Vehicles." Transportation Research Record: Journal of the Transportation Research Board 1704, no. 1 (2000): 85–89. http://dx.doi.org/10.3141/1704-11.

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A key attribute of light rail transit (LRT) is its ability to integrate well into urban environments, sharing the public right-of-way with motor vehicles, bicycles, and pedestrians. This characteristic has made LRT very successful in urban corridors that require a high-capacity mode of transportation operating in a shared (on-street or mall) right-of-way environment. Although LRT is an inherently safe mode of transportation, accidents do occur. Such accidents negatively affect not only the parties involved, but also the operation of the entire LRT system and the reputation of the transit prope

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Yuan, Quan, Xianguo Zhai, Wei Ji, Tiantong Yang, Yang Yu, and Shengnan Yu. "Correlation Analysis on Accident Injury and Risky Behavior of Vulnerable Road Users Based on Bayesian General Ordinal Logit Model." Sustainability 14, no. 23 (2022): 16048. http://dx.doi.org/10.3390/su142316048.

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Crashes involving vulnerable road users (VRUs) are types of traffic accidents which take up a large proportion and cause lots of casualties. With methods of statistics and accident reconstruction, this research investigates 378 actual traffic collisions between vehicles and VRUs in China in 2021 to obtain human, vehicle, and road factors that affect the injury severity. The paper focuses on risky behaviors of VRUs and typical scenarios such as non-use of the crosswalk, violation of traffic lights, stepping into the motorway, and riding against traffic. Then, based on the Bayesian General Ordin

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Bolla, Margareth E., Tri Mardiyati Sir, and Putri D. K. Djahamouw. "Motorcycle accident modelling for the formulation of motorist safety action programs in Kupang City." MATEC Web of Conferences 270 (2019): 03017. http://dx.doi.org/10.1051/matecconf/201927003017.

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Kupang city had to deal with transport safety issues where the total number of traffic accidents in 2017 increased by 51.05% compared to 2011. This study aims to describe and analyze the factors that affect motorcycle accidents through modelling by the method of Generalized Linear Models with Genstat and SPSS programm. Based on the results of the police report data summary, accidents most often occur on Sunday (15.95%); the time span at 18:00 to 23:59 pm (45.94%); type of hit the front (35.68%); victims died (12.19%), male sex (80.71%); age range 18-25 years (37.20%); with the level of educati

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Joy, Ms Nisha. "Blind Spot Monitoring System for Heavy Vehicles." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 178–82. https://doi.org/10.22214/ijraset.2025.66233.

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Blind Spot Monitoring( BSM) systems are essential for enhancing safety in heavy vehicles, which witness significantly larger eyeless spots compared to lower vehicles. These eyeless spots, especially on the sides and hinder, limit the motorist’s visibility, adding the threat of collisions during lane changes, incorporating, and turning. The primary thing of this design is to design a BSM system that can directly descry objects or vehicles within these critical zones and warn the motorist in real time, reducing the chance of accidents. This BSM result eventually enhances road safety for both the

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R., Sireesha, Venkataiah C., and Jayamma Manjula. "An Automated Vehicle Accident Detection and Messaging System Using Arduino." Journal of Emerging Trends in Electrical Engineering 5, no. 3 (2023): 27–33. https://doi.org/10.5281/zenodo.10418215.

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<em>The rapid development of cars and technology is mostly due to population increase, which is also to blame for a number of accidents in today's fast-paced culture. One of the main causes of mortality is inadequate crisis management. To that end, our goal is to get everyone involved in an accident medical attention as soon as feasible. When an accident happens, the accelerometer instantly notifies the Arduino of the situation. The Arduino then sends the warning to pre-identified emergency contacts via the Internet of Things. The motorist can silence the alarm by touching a button if the situ

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Haces-Garcia, Joaquin, Arturo Haces-Garcia, Francisco Haces-Garcia, and Francisco Haces-Fernandez. "Advanced Warning System to Improve Safety at Train Grade Crossings." Sustainability 13, no. 21 (2021): 11779. http://dx.doi.org/10.3390/su132111779.

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The severity of traffic accidents at train grade crossings has led to efforts in mitigating their potential damaging effects. Over the last 45 years, significant investment has been made at these crossings in the United States to reduce the number of accidents. Initially, these improvements reduced accidents, but in the last decade, the numbers have plateaued, even as additional safety investment has continued. Geospatial data from the Federal Railroad Administration was evaluated to ascertain the causes of the efficacy reduction of traditional safety measures. Temporal patterns were detected

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Maśniak, Dorota. "KSZTAŁTOWANIE SIĘ TRANSGRANICZNEGO SYSTEMU OCHRONY OFIAR WYPADKÓW DROGOWYCH." Zeszyty Prawnicze 4, no. 2 (2017): 109. http://dx.doi.org/10.21697/zp.2004.4.2.06.

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Formation of Transboundary System of the Victims’ of Motor Vehicle Accidents ProtectionSummaryThe regulations applying to m otor liability insurance have a considerable significance in the European law. The system of „green cards” was introduced to facilitate the fulfilment of claims in accidents caused by a motorist in a M em ber State other than that in which the vehicle is registered. This system ensures the payment of compensation to victims of accidents caused by visiting vehicles through a private-sector network of Green Card Bureaux set up by the insurers and established in all the M em

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Begum, Momotaz, Nayeem Ullah, Mehedi Hasan Shuvo, Towhidul Islam, Thofazzol Hossen, and Jia Uddin. "Cost-effective IoT-based automated vehicle headlight control system: design and implementation." International Journal of Informatics and Communication Technology (IJ-ICT) 14, no. 1 (2025): 325. https://doi.org/10.11591/ijict.v14i1.pp325-333.

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<p>The current world would be difficult without vehicles, which offer vital advantages for social connectivity, mobility, and technical advancement. Though motor vehicles provide benefits to passenger transportation, they also present certain challenges in their use. A major issue is nighttime traffic accidents caused by headlamps from automobiles traveling in reverse directions, that's why there is a high probability of accidents due to the glare on the driver's eyes. The phrase "Troxler effect" refers to an unexpected glare that a motorist recognizes. In this paper, we will provide an

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Momotaz, Begum, Ullah Nayeem, Hasan Shuvo Mehedi, Islam Towhidul, Hossen Thofazzol, and Uddin Jia. "Cost-effective IoT-based automated vehicle headlight control system: design and implementation." International Journal of Informatics and Communication Technology 14, no. 1 (2025): 325–33. https://doi.org/10.11591/ijict.v14i1.pp325-333.

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The current world would be difficult without vehicles, which offer vital advantages for social connectivity, mobility, and technical advancement. Though motor vehicles provide benefits to passenger transportation, they also present certain challenges in their use. A major issue is nighttime traffic accidents caused by headlamps from automobiles traveling in reverse directions, that's why there is a high probability of accidents due to the glare on the driver's eyes. The phrase "Troxler effect" refers to an unexpected glare that a motorist recognizes. In this paper, we will provide an optimal s

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Hanley, Kevin E., A. Reed Gibby, and Thomas C. Ferrara. "Analysis of Accident-Reduction Factors on California State Highways." Transportation Research Record: Journal of the Transportation Research Board 1717, no. 1 (2000): 37–45. http://dx.doi.org/10.3141/1717-06.

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Accident reduction factors (ARFs) are mechanisms that the California Department of Transportation employs in calculating Traffic Safety Index values, which are used to prioritize safety-improvement projects on California state highways. Many factors that affect motorist safety have changed over the nearly 30 years in which ARFs have been used in the Traffic Safety Index Program. It is therefore appropriate to review and update, as needed, these accident-reduction factors. The research focused on four accident-reduction factors that are currently in use (rumble-strip installation, shoulder wide

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Pandey, Sakshi, and Sheenu Rizvi. "Using Machine Learning to Determine the Motorist Somnolence." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 4, no. 1 (2023): 1–6. http://dx.doi.org/10.54060/jieee.v4i1.88.

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Traffic accidents pose an increasing threat to society, and researchers are dedicated to preventing accidents and reducing fatalities, as highlighted by the World Health Organization. One significant cause of accidents is drowsy driving, which often leads to severe injuries and loss of life. The objective of this research is to create a fatigue detection system that can effectively minimize accidents associated with exhaustion. The system utilizes facial recognition technology to identify drowsy drivers by analyzing eye patterns through video processing. When the level of fatigue surpasses a p

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Saushev, Alecsandr, and Nikolai Shirokov. "Preventive protection of marine electrical power system from the transition of generating sets to motoring mode." E3S Web of Conferences 244 (2021): 08007. http://dx.doi.org/10.1051/e3sconf/202124408007.

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The approaches that ensure the trouble-free operation of marine power system in abnormal modes were considered. Such modes are usually associated with the system elements failure during operation. Particular attention was paid to the processes occurring in the circuit during transition of one of the generators to the motoring operation mode. The relevance of the considered marine power system issue was substantiated. According to the research results, using time-delay when generating a signal to disable a failed unit operating with reverse power can contribute to defect development in the prim

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Römpötti, Tommi. "Autoilukulttuuri modernisaation merkitsijänä suomalaisissa näytelmäelokuvissa 1950- ja 1960-luvuilla." Lähikuva – audiovisuaalisen kulttuurin tieteellinen julkaisu 35, no. 4 (2022): 19–40. http://dx.doi.org/10.23994/lk.125667.

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Liikenteen henkilöautoistuminen on modernisaatiokehityksen keskeinen merkitsijä. Suomessa autoilukulttuurin muovautumisen ja modernisoitumisen kannalta erityistä aikaa ovat 1950- ja 1960-luku, jolloin henkilöautojen määrä ja suhteellinen osuus kaikista ajoneuvoista kasvoivat ja autoilu muuttui paikasta toiseen kulkemisen ja kuljettamisen ohella elämäntavaksi.Artikkelissa tarkastelen tapoja, joilla autoilukulttuuri näyttäytyy modernisaation merkitsijänä näytelmäelokuvissa vuosina 1950–1969. Tuolloin tuli ensi-iltaan 334 suomalaista näytelmäelokuvaa, joista 223 elokuvassa nähdään autoja. 1950-lu

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Cheewapattananuwong, Weeradej, and Pathom Chaloeywares. "The Innovation of Natural Rubber Applied with Concrete Road Barriers in Thailand." Advances in Science and Technology 103 (August 2020): 55–61. http://dx.doi.org/10.4028/www.scientific.net/ast.103.55.

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The Development of Natural Rubber for Traffic Devices in Thailand has been researched in several years. The enormous budgets have also been invested for the increasing of rubber prices. One of Traffic Devices is the application of natural rubber sheets for the protection of motorists - driving motorcycles as crashed through concrete barriers. The number of road side accidents on rural roads in Thailand is about 3 fatality per 10 kilometers. Therefore, the 11.20 MTB per a Fatality of accident cost is evaluated to be 3,360 TB per km. This leads to the mitigation methods to remedy a symptom’s mot

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Kumar, Amareswar, Shaik Sana Abida, Nayini Mounika, et al. "Monitoring Driver Alertness with OpenCV and Machine Learning." International Research Journal of Innovations in Engineering and Technology 09, Special Issue (2025): 355–58. https://doi.org/10.47001/irjiet/2025.inspire57.

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Detecting Driver Attentiveness Using OpenCV Machine learning is a cutting-edge real-time monitoring system that assesses a driver's level of attentiveness while driving in order to increase road safety. This research uses machine learning methods in conjunction with OpenCVpowered computer vision techniques to identify early signs of driver distraction and tiredness. The system determines if a motorist is fatigued or still focused on the road by continuously evaluating facial cues such head placement, eye movements, blink frequency, and yawning. Live video input from an in-car camera is process

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Sheeraz, Khawaja, Naeem Aziz Memon, Aftab Hameed Memon, Nafees Ahmed Memon, and Syed Faraz Jafri. "Validating aggregates and bitumen characteristics in road maintenance and safety management for motorizing countries using multidimensional diagrammatic models." Mehran University Research Journal of Engineering and Technology 44, no. 1 (2025): 184. https://doi.org/10.22581/muet1982.3409.

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Maintenance and management systems are essential parameters that align with traffic safety. The dependent factors include traffic accidents on blackspots, contributory causes like pavement and geometric features, and human or vehicle issues. As per the research, more than 75% of accidents are reported due to the deteriorated conditions of the roads in a metropolitan city, Karachi, Pakistan. The consistent feature is the lack of consideration in the adopted strategies of the city, which are based on routine and periodic maintenance procedures. Unfortunately, Karachi, which has an extensive infr

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Buchari, Erika, Dinar Dwi Anugrah Putranto, Dwi Asmoro, and Lisbeth Dolok Saribu. "ANALISIS PERUBAHAN KECEPATAN TERHADAP RISIKO KECELAKAAN LALU LINTAS." Journal of Indonesia Road Safety 2, no. 2 (2019): 76. http://dx.doi.org/10.19184/korlantas-jirs.v2i2.15027.

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According to IRSMS or Integrated Road Safety Management System, mostly 37.78% of road accidents happened in road class II. In terms of road function, the most frequent accidents happened in Arterial road, which is 33.22%. Majority accidents 31.60% happened in the straight road. This study aims to analyze the motorcycle’s speed, motorcyclist behavior in speeding, the effect of geometric road condition toward the speed. Some surveys having been done are road damage survey, traffic count survey, speed survey, and interview survey on motorist behavior. The results of the study are (1) The average

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Gegeleso, Omolola, Dosunmu Victor Ayodele, and Ige Leah. "ECONOMIC EFFECT OF TRAFFIC SAFETY MEASURES ON ROAD CRASHES IN DEVELOPING CITY IN SOUTHWESTERN NIGERIA." International Journal of Engineering Technologies and Management Research 9, no. 5 (2022): 23–30. http://dx.doi.org/10.29121/ijetmr.v9.i5.2022.1138.

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The occurrence of accidents has been an event which is predominant in road transportation. However, this accident occurs directly or indirectly as a result of human activity rather than a natural event. This study assessed the effect of traffic safety measures on road crashes in south western Nigeria. The study was conducted in Ogbomoso City, Oyo state. The population of the study comprise of 250 registered Commercial motorist and 150 commercial Motorcyclists, Civil Servants in Ogbomoso North Local government. The sample size was purposively chosen using the criteria of level of knowledge and

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Luckin, Bill. "Motorists, Non-drivers and Traffic Accidents between the Wars." Transfers 2, no. 2 (2012): 4–21. http://dx.doi.org/10.3167/trans.2012.020202.

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This international overview focuses on the conflict between drivers and non- drivers in Britain, France, the United States, Germany, and Sweden during the interwar period. It suggests that on neither side of the Channel did pro-pedestrian movements make a major impact on national safety legislation. In the U.S.A. automobile-manufacturing interest groups undermined what they perceived to be threatening neighborhood opposition to the onward rush of the automobile. In Germany, which had earlier experienced high levels of anti-car activity, Hitler-inspired commitment to modernization nevertheless

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Guo, Jiawei. "Analysis of motor vehicle collisions based on Nave Bayes." Applied and Computational Engineering 30, no. 1 (2024): 202–7. http://dx.doi.org/10.54254/2755-2721/30/20230098.

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Prediction and prevention of road traffic accidents are two of the most important instruments for enhancing road safety.This paper investigates the application of the Naive Bayes method to the analysis of motor vehicle collisions. With an emphasis on comprehending the factors that contribute to such incidents, the paper employs a literature review to collect pertinent data. Using the Nave Bayes method, the study investigates the relationships between multiple variables, including weather conditions, road types, and motorist behavior, in order to predict the probability of collisions. The findi

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U. Divya, T. Sirisha, B. Durgesh, T. Avinash, E. Nithin Teja, and U. Gnanender. "Accident Avoiding and Monitoring Using Open CV." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 06 (2024): 1639–45. http://dx.doi.org/10.47392/irjaeh.2024.0225.

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These days, one of the main factors contributing to the majority of accidents worldwide is driver fatigue. Identifying driver eye fatigue is the most straightforward method of gauging driver sleepiness. The methods now in use in the literature are yielding findings that are somewhat less accurate because of low image and video clarity, which might be caused by differences in camera placements. This research proposes a driver drowsiness detection system that uses eye blink counts to identify tiredness as a solution to this problem. The motorist is alerted with a vibrator signal when their eyes

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FITRI, LULU LUSIANTI, DANDRI ALY PURAWIJAYA, and SUPRIJANTO. "EFFECT OF BLUE LIGHT EXPOSURE TO BRAIN WAVE PHYSIOLOGY RELATED TO COGNITIVE AND MOTORIC FUNCTION DURING NIGHT DRIVING SIMULATION." Malaysian Applied Biology 49, no. 2 (2021): 69–74. http://dx.doi.org/10.55230/mabjournal.v49i2.1525.

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Safety issue and accident of land transportation needs to be concerned about. One of the main reasons of most driving accidents is drowsiness since it is associated with circadian rhythm, which is formed by blue light in solar day light. Studies reported that blue light controls circadian rhythm and prevent drowsiness. This research aims to assess the effect of artificial blue light exposure at night that is expected to prevent drowsiness and behavior changes related to night driving. Behavioral changes can be observed from cognitive response activities that are evaluated by physiologic change

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Raslavičius, Laurencas, Liudas Bazaras, Artūras Keršys, Vaidas Lukoševičius, Rolandas Makaras, and Valdas Eidukynas. "Assessment of bicycle–car accidents under four different types of collision." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 231, no. 3 (2017): 222–34. http://dx.doi.org/10.1177/0954411917690417.

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Bicycle riders are among the highest risk group in traffic. A cyclist simulation study captured kinematics and injuries to legs, pelvis, neck, and head for one human body size. We analyzed the number of parameters (forces acting on left and right tibia, head injury criterion, neck tensile force, neck shear force, and pelvic acceleration) for each of the four different cases: bicyclist ride out—residential driveway, motorist overtaking—undetected bicyclist, bicyclist left turn—same direction, and bicyclist right turn—opposite direction. The comparison of simulation outcomes for leg injuries wit

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Zhang, Yuanyuan, John Bigham, David Ragland, and Xiaohong Chen. "Investigating the associations between road network structure and non-motorist accidents." Journal of Transport Geography 42 (January 2015): 34–47. http://dx.doi.org/10.1016/j.jtrangeo.2014.10.010.

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Niraj, Kumar, Prasad Mukesh, Kumar Singh Nawal, and Ranjan Desai Sanjeev. "The Pattern of Chest Injuries Following RTA." International Journal of Toxicological and Pharmacological Research 13, no. 3 (2023): 310–15. https://doi.org/10.5281/zenodo.11262757.

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<strong>Background:</strong> Vehicle collisions are a primary source of mortality on the planet. Due to the location of essential organs inside the chest cavity, severe chest injuries sustained in such events are often deadly. The purpose of this research is to assess the significance of these injuries on motorist safety. <strong>Study Design:</strong> Descriptive retrospective study. <strong>Methods:</strong> The purpose of this study was to provide a descriptive retrospective analysis of postmortem autopsy results from instances of road traffic accidents with chest i

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Prihasto, Bima, Nisa Rizqiya Fadhliana, Agustina Hariyani, Fauzan M. Alwafi, and Tsaqila B. Askarin. "Development of Object Detection System on Non-Helmed Riders Using YOLOv8." Jurnal Pendidikan Multimedia (Edsence) 5, no. 2 (2023): 79–90. http://dx.doi.org/10.17509/edsence.v5i2.65910.

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Motorcycle accidents are a severe problem, with the number of incidents reaching 66,602 in 2023. Helmets as head protection are mandatory, but awareness of their use is still low. This research utilises Deep Learning, specifically YOLOv8, to detect helmet use violations among motorbike riders. The research results show high accuracy with a Precision of 89.5%, Recall at 78.4%, and mAP50 at 85.7%. YOLOv8 effectively detects violations and provides a solid basis for increasing motorist awareness. Through this innovative approach, it is hoped that a safer driving culture and collective awareness o

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Singh Rajawat, Gajendra, Kamal Singh Rao, and Meenakshi Sisodia. "Internet of Things-Based Car Wiper and Accident Location Notification." International Journal of Scientific Methods in Engineering and Management 01, no. 05 (2023): 09–16. http://dx.doi.org/10.58599/ijsmem.2023.1502.

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To reduce the number of car crashes that result in deaths or severe property damage was the primary goal of accident prevention programmes. Recognising Danger and Taking Precautions This strategy reduces the amount of time it takes for emergency services to reach a dangerous situation, saving lives. This apparatus can detect fog and clear it from the screen, allowing for safer navigation. If the car detects that you have been drinking, it will not start for you. A buzzer will ring if a blink sensor detects the driver is closing their eyes while driving. If the motorist ignores the warning, the

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Rafki, Muhammad. "ANALISIS KRIMINOLOGI TINGGINYA ANGKA KECELAKAAN LALULINTAS DI WILAYAH HUKUM POLRES PESISIR SELATAN." UNES Law Review 3, no. 1 (2020): 95–103. http://dx.doi.org/10.31933/unesrev.v3i1.149.

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On the South Coast there is an increasing number of accidents every year. The criminological factor of the high number of traffic accidents in the Legal Area of the Pesisir Selatan Police is a factor of road conditions because Pesisir Selatan Regency has a geographical condition as a hilly plateau and is located along the southern coast of Sumatra. Another factor for community domesticated livestock is cows that are allowed to roam around without a leash. Efforts to Overcome Traffic Accidents in the Legal Area of the Pesisir Selatan District Police are carried out with several aspects, namely

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Zainal, Siti Khairunisa, Muhamad Nazri Borhan, and Mardhiah Othman. "Motorist Compliance Level Towards Pedestrian Crossing in University Campus." Jurnal Kejuruteraan si1, no. 5 (2018): 17–22. http://dx.doi.org/10.17576/jkukm-2018-si1(5)-03.

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A pedestrian crossing is a facility designated for pedestrians to cross a road in groups, so that they can be seen by the motorists. Pedestrian crossing is also used by them to cross safely across a flow of vehicular traffic. However, accidents still occur among pedestrians even though there are provisions for pedestrian crossing facilities. The purpose of this research is to identify the level of motorists’ compliance towards pedestrian crossing at Universiti Kebangsaan Malaysia (UKM) which is located in Bangi, Selangor. This research involved 326 respondents among motorists and pedestrian th

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Brand, Richard A. "50 YEARS AGO IN CORR: Motorist Injuries and Motorist Safety: Introduction: Prevention of Accidents by Jacob Kulowski, MD." Clinical Orthopaedics and Related Research 464 (November 2007): 253–55. http://dx.doi.org/10.1097/blo.0b013e318157eb6b.

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Rashid, Haroon, S. Akhtar Ali Shah, and Sheikh Muhammad Usman. "Factors Influencing Motorists' Injury Severities: An Empirical Assessment of Crashes in District Peshawar, Pakistan." Global Social Sciences Review VIII, no. II (2023): 211–24. http://dx.doi.org/10.31703/gssr.2023(viii-ii).20.

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Travelling in a motor car is a popular mode of conveyance across Pakistan. Similarly, motorists constitute about 66% of total registered cars in Peshawar District which observed a 200% increase from 2006 to 2016. The current research estimates a Random Parameter Logit (RPL) Model by heterogeneousness means & variations in order to identify various parameters that contribute to the motorists' brutality of injury. The effects of motorist traits, temporal characteristics, motor vehicle features, roadway attributes, weather characteristics and effects of speed limits were predominantly conside

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Sree Lakshmi Done, P. Mounika, K. Srilaxmi, K. Leela Satya Manikanta, Shivanvitha Estari, and Mylapaka Nikitha. "Smart Baggage Tracker." International Research Journal on Advanced Science Hub 6, no. 08 (2024): 210–16. http://dx.doi.org/10.47392/irjash.2024.030.

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A concerning rise in accidents caused by human error has resulted from the proliferation of vehicles on Indian roads and the inadequate enforcement of traffic regulations. This project proposes a sophisticated Driver Safety System that uses machine learning (ML) algorithms and Internet of Things (IoT) sensors to address two primary causes of traffic accidents: tiredness and driving under the influence (DUI).Our solution uses machine learning (ML) algorithms to identify minute indicators of driver drowsiness, like frequent yawning and microsleep, and uses an Internet of Things device with air p

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Clark, Kenneth L., Joseph E. Hummer, and Navaneet Dutt. "Field Evaluation of Fluorescent Strong Yellow-Green Pedestrian Warning Signs." Transportation Research Record: Journal of the Transportation Research Board 1538, no. 1 (1996): 39–46. http://dx.doi.org/10.1177/0361198196153800105.

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Recent improvements in manufacturing processes have allowed the development of a fluorescent, microprismatic sign material with a unique strong yellow-green color. Although this color is listed in the Manual on Uniform Traffic Control Devices, it is currently unassigned. Pedestrian accidents continue to be a major safety problem in the United States, and the Federal Highway Administration has requested research on the application of fluorescent strong yellow-green warning signs for pedestrian, bicycle, and school crossing applications. The research effort sought to evaluate the effectiveness o

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Kayode, Joseph F., Kevin J. Agim, Sunday A. Afolalu, Omolayo M. Ikumapayi, and Adeyinka O. M. Adeoye. "Development of a Driver Safety Monitoring Device with Ignition Interlock." International Journal of Safety and Security Engineering 12, no. 6 (2022): 761–66. http://dx.doi.org/10.18280/ijsse.120613.

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Drunk driving and falling asleep on the wheel are the most prevalent causes of car accidents. We cannot ban individuals from consuming alcohol, but we can reduce the number of accidents by monitoring who is drinking and embedding safety devices in the car to ascertain that no one drinks and drives, and as well warn the driver if he or she falls asleep behind the wheel. This embedded safety system consists of an alcohol sensor, infrared sensor, motor, buzzer, and other devices that are all linked to the core microcontroller unit. An eye blink sensor was utilized to detect sleep by establishing

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Benson, Brien G. "Motorist Attitudes about Content of Variable-Message Signs." Transportation Research Record: Journal of the Transportation Research Board 1550, no. 1 (1996): 48–57. http://dx.doi.org/10.1177/0361198196155000107.

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Attitudes regarding the content of messages on variable-message signs (VMSs) are explored. Seven focus groups and a survey of more than 500 motorists in the Washington, D.C., area were carried out. Key findings are as follows. Motorists are evenly divided between those who regularly rely on VMSs and those who do not. Demographic variables have little influence on motorist attitudes about VMSs, except for a few cases involving level of education. Respondents are well disposed to VMS messages that are simple, reliable, and useful. Thus, noting the exact location of accidents, time-tagging traffi

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D. Paje, John Spencer, Aubrey I. Surita, Renzo Virtudez, Jasmin D. Calib-Og, Junvil A. Insong, and Jose F. Cuevas Jr. "Lived Experiences of Traffic Enforcers in Ozamiz City: A Phenomenological Study." Mediterranean Journal of Basic and Applied Sciences 06, no. 02 (2022): 118–31. http://dx.doi.org/10.46382/mjbas.2022.6212.

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Traffic enforcers play a vital role to maintain public order and safety in our roads. The aim of enforcement was to prevent the occurrence of road traffic violations by means of control and punitive sanctions. This study was conducted to know the lived experiences of traffic enforcers in Ozamiz City, Misamis Occidental. It is a phenomenological study where the researchers made an interview guide questions to gather data on the traffic enforcers experiences. The study was conducted for the randomly selected traffic enforcers in Ozamiz City. Moreover, there were seven (7) traffic enforcers purpo

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Aminu, P. M., and O. c. Olubo. "Investigation of Speed Bumps on Urban Centre Road in Ugbowo Benin-City, Edo State." October 2022 6, no. 2 (2022): 295–304. http://dx.doi.org/10.36263/nijest.2022.02.0373.

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This study investigated the use of speed bumps on Nigeria highway with specific reference to the section of the federal road that start from the University of Benin main gate to Oluku Junction Benin city. Using survey methodology for the collection of information from a sample of individuals through their responses to questions like who, how much, what, where, when, how many, and how, 50 units of questionnaires each were designed and administered to drivers, motorist and residents at various reference points on the road section to sought information on the effect of the devices on the drivers,

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Silalahi, Siska Amonalisa, Asep Ali Thabah, and Novembriani Irenita. "Knowledge, Attitude, and Perception: Impact on Online Ojek Driving Safety." Majalah Ilmiah Bijak 21, no. 1 (2024): 62–76. http://dx.doi.org/10.31334/bijak.v21i1.3671.

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The high number of accidents for ojek online motorcycle users cannot be separated from the behavior of the riders. Motorist behavior factors have an important contribution in determining the occurrence of road user traffic accidents. Thus, the purpose of this study is to ascertain how knowledge, attitudes, and perceptions will affect motorcycle safety riding behavior in Jakarta in 2023 when it comes to ojek online. This study used survey method with quantitative research data. The population in this study was all ojek online motorcycle drivers in Jakarta and the sample used amounted to 100 res

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Brand, Richard A. "50 Years Ago in CORR: Motorist Injuries and Motorist Safety: Introduction: Prevention of Accidents Jacob Kulowski MD CORR 1957;7:251–255." Clinical Orthopaedics and Related Research 466, no. 10 (2008): 2558–59. http://dx.doi.org/10.1007/s11999-008-0398-x.

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Renny, Septiari, and Budiharti Nelly. "The correlation of safety riding knowledge and traffic accident rates for online motorcycle taxi drivers in Malang city." World Journal of Advanced Research and Reviews 16, no. 2 (2022): 787–93. https://doi.org/10.5281/zenodo.7790389.

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Safety riding behavior is one of the methods that must be applied for motorists so that the atmosphere of driving on the road can be more orderly in order to achieve security and comfort, especially on the highway. This effort continues to be encouraged with the aim of reducing the number of accidents that are increasingly occurring, both with injured and dead victims. Safety riding is one way to be able to behave safely and comfortably when driving on the highway both for oneself and for other drivers. Online motorcycle taxi is a small part of motorist who passes by on the highway in carrying

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Cerović, Milan. "Development of motor hull insurance in Serbia 2000-2020." Tokovi osiguranja 38, no. 3 (2022): 46–120. http://dx.doi.org/10.5937/tokosig2203046c.

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The beginning of the 21st century was marked as the era of automobiles. The slogan "An automobile is a luxury" has been replaced by a new one, "An automobile is not a luxury, but a necessary means of transport". After 100 years, an automobile went from being a luxury item to an optimal means of transport. Today, it is hard to imagine life without automobiles. A motor vehicle enables easier and faster reaching any point in a city, a country, a continent and even another continent. Transport by an automobile, as one type of land transport, is the most widespread and takes a leading position in t

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K, Lakshmi Shree, Soumya P, Syed Romain, Shwetha TA, and Yashaswini R. "TRAFFIC PREDICTION USING MACHINE LEARNING." International Research Journal of Computer Science 9, no. 8 (2022): 272–76. http://dx.doi.org/10.26562/irjcs.2022.v0908.23.

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The goal of this study is to provide a mechanism for forecasting precise and timely traffic flow data. Traffic Environment refers to anything that could have an impact on how much traffic is moving along the road, including traffic signals, accidents, protests, and even road repairs that might result in a backup. A motorist or rider can make an educated choice if they have previous knowledge that is very close to approximation about all the above and many more real-world circumstances that can impact traffic. Additionally, it aids in the development of driverless cars. Traffic data have been g

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Curry, David G., Edward A. Nielsen, Jason W. Kidd, and Matthew R. Tuttle. "Driver Detection of Roadside Obstacles at Night." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 18 (2007): 1181–85. http://dx.doi.org/10.1177/154193120705101827.

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Oftentimes vehicular accidents involve collisions, not between two vehicles on the roadway, but between a vehicle which departs from the roadway and a vehicle parked on the shoulder. In many such cases, the striking party will maintain that they were in control of their vehicle at all times, but were simply unable to detect the parked vehicle due to lack of illumination or inadequate warning of its presence. A search of the available literature has produced no data which quantifies the relative detectability of such warning devices compared to reflections from such surfaces as vehicle bodies,

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Teja ,, Bandaru Varun. "Real Time Driver Drowsiness Detection Using Visual Behavior." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31195.

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One of the main factors contributing to traffic accidents is falling asleep behind the wheel. Although it cannot be totally avoided, this model can help prevent it. A system called drowsiness detection keeps drivers from nodding off while operating a vehicle. Both passengers and other drivers will be safer thanks to this technology. The algorithm can monitor the space between the driver's eyes by employing an infrared camera in front of the vehicle. The technology sounds an alert to alert the driver to take control of the vehicle when the region comes under curtain measurement for a number of

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Snehal Chaudhary, Et al. "Use of Convolutional Neural Network and SVM Classifiers for Traffic Signals Detection." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 490–93. http://dx.doi.org/10.17762/ijritcc.v11i9.8834.

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Road signals are crucial for preserving a safe and effective flow of traffic. They give directions to cars, warn them of potential dangers, and notify them of the conditions of the road ahead. Road signs make roadways safer for both vehicles and pedestrians by regulating traffic and reducing accidents. Failure to obey traffic signals can be harmful and result in collisions. Drivers must always be conscious of their surroundings and pay attention to traffic signs. If a driver misses a signal, they should proceed with caution and safety to prevent injuring themselves or others, and they should s

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V, Induja, and Dr Tharani S. "Enhancing Automative Safety System for Driver Fatigue Detection by Using Mediapipe’s Framework." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 09 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem37265.

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Traffic accidents caused by tiredness, exhaustion, and distracted driving are a big concern on a global scale. As per global Road Safety reports drowsy driving was reason for 91,000 road accidents in Tamil Nadu in the year 2023. In this study, I suggest a collective deep learning architecture for automatic driver sleepiness detection while some earlier works are suggested extracting the lips and eyes movements to identify sleepiness, more contemporary computer vision-based systems have performed only somewhat well. This is because they either use extremely large deep learning models with still

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