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Journal articles on the topic 'Car accident'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Wang, Zhi, Daishi Watabe, Hideyasu Sai, Yukimichi Saito, and Masayoshi Wada. "ACDR: Autonomous-Car Drive Recorder." Journal of Robotics and Mechatronics 32, no. 3 (2020): 634–37. http://dx.doi.org/10.20965/jrm.2020.p0634.

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Herein, a drive recorder system for autonomous cars that can be used to analyze accidents that occur during autonomous driving is proposed. In many field operational tests of autonomous cars, vehicle speed, steering angle, and camera data are recorded in the log file. Only relying on these log files without simultaneously monitoring the operator or driver’s actions results in much information being lost that can be used for accident investigation. To solve this problem, an autonomous-car drive recorder that can respond appropriately when accidents occur and minimize the possibility of accident

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EslamiNezhad, S. A., and M. R. Delavar. "AN INTEGRATED NETWORK-CONSTRAINED SPATIAL ANALYSIS FOR CAR ACCIDENTS: A CASE STUDY OF TEHRAN CITY, IRAN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 335–42. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-335-2019.

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Abstract. Research on determination of spatial patterns in urban car accidents plays an important role in improving urban traffic safety. While traditional methods of spatial clustering of car accidents mostly rely on the two dimensional assumption, many spatial events defy this assumption. For instance, car accidents are constrained by the road network and rely on the one dimensional assumption of street network. The aim of this study is to detect and statistically prioritize the car accident-prone segments of an urban road network by a network-based point pattern analysis. The first step inv

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Cholke, Prof Satish C. "A Review on Accident Prevention System Using IOT For Car Safety." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem49098.

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Abstract. Car accidents are among the most catastrophic events. The causes of these accidents can vary, with driver inattention and excessive speed being significant factors. By utilizing IoT (Internet of Things) technology, we can work towards preventing and reducing the frequency of these incidents. IoT is rapidly advancing within the IT sector and aims to alleviate human burdens. This project proposes an innovative solution for accident prevention by developing an Accident Prevention System Using IoT for Car Safety. The system we are creating will monitor conditions to help minimize acciden

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Gandur, Nazir L., Stephen Ekwaro-Osire, Jahan Rasty, Olin Parker, and Guilherme Fernandes. "Navigating Safer Car Routes Based on Measured Car Accidents." Metrology 4, no. 4 (2024): 517–33. http://dx.doi.org/10.3390/metrology4040032.

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Car accidents, a major US public safety issue, demand precise analysis and predictive models for mitigation. This study asks the following question: Can the safest car routes across the US be determined? The paper analyzes historical data to forecast future accidents and calculates the safest route between two locations. The study builds a predictive model utilizing statistical analyses, data mining, and machine learning. A joint probability density function (PDF) is devised to calculate the safest route for risk modeling, factoring in latitude and longitude. The model quantifies accident prob

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Daw, Khaing Zar Win. "Design and Implementation of Alcohol Detector and Accident Detection System using GSM Modem." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 1086–90. https://doi.org/10.5281/zenodo.3590532.

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Nowadays, the number of vehicles is increasing significantly every year. Many accidents are occurring because of the alcohol consumption of the driver. After drinking alcohol, driving is the most reason for accidents in almost all countries all over the world. Therefore, alcohol detection system and automatic finding car accident place using GSM modem and GPS are presented in this paper. The combination purpose of alcohol detection and car accident detection systems is to save human life. If the car driver drinks alcohol, the alcohol sensor will sense alcohol concentration, will display it on

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Sheikh, Mohammad M. R. "Optimal Scaling Categorical Principal Components Analysis: Road Traffic KSI Car Accidents in England (STATS19)." International Journal of Mathematics and Statistics Studies 11, no. 3 (2023): 27–42. http://dx.doi.org/10.37745/ijmss.13/vol11n32742.

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Categorical principal component analysis (CATPCA) technique was applied in the road killed or seriously injured (KSI) car accidents in England based on STATS19 data so that the categorical variables of KSI car accidents can be transferred into few components with reduction of dimensionality. Finally selected 20 variables in KSI car accident database were divided to create four principal components by applying “optimal scaling CATPCA” procedure in SPSS. The statistically significant KSI car accident variables, particularly the most accountable categorical variables, were identified and quantifi

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Pourroostaei Ardakani, Saeid, Xiangning Liang, Kal Tenna Mengistu, et al. "Road Car Accident Prediction Using a Machine-Learning-Enabled Data Analysis." Sustainability 15, no. 7 (2023): 5939. http://dx.doi.org/10.3390/su15075939.

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Traffic accidents have become severe risks as they are one of the causes of enormous deaths worldwide. Reducing the number of incidents is critical to saving lives and achieving sustainable cities and communities. Machine learning and data analysis techniques interpret the reasons for car accidents and propose solutions to minimize them. However, this needs to take the benefits of big data solutions as the size and velocity of traffic accident data are increasingly large and rapid. This paper explores road car accident data patterns and proposes a predictive model by investigating meaningful d

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Elhag, Salma M., Ghadi H. Shaheen, and Fatmah H. Alahmadi. "Accident Response Time Enhancement Using Drones: A Case Study in Najm for Insurance Services." International Journal of Information Technology and Computer Science 15, no. 6 (2023): 1–14. http://dx.doi.org/10.5815/ijitcs.2023.06.01.

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One of the main reasons for mortality among people is traffic accidents. The percentage of traffic accidents in the world has increased to become the third in the expected causes of death in 2020. In Saudi Arabia, there are more than 460,000 car accidents every year. The number of car accidents in Saudi Arabia is rising, especially during busy periods such as Ramadan and the Hajj season. The Saudi Arabia’s government is making the required efforts to lower the nations of car accident rate. This paper suggests a business process improvement for car accident reports handled by Najm in accordance

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Shamsher, Ahmad, and Kumar Roy Sandeep. "Real Time Monitoring Based Car Accident System." Advancement of Signal Processing and its Applications 3, no. 3 (2021): 1–4. https://doi.org/10.5281/zenodo.4446493.

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<em>As the usage of vehicles is increasing drastically, the hazards due to vehicles is also increased. The main cause for accidents is high speed, drink and drive, diverting minds, over stress and due to electronic gadgets. This paper deals with accident detection system that happens because of negligence of the individual who is driving the vehicle. This introduces accident alerting system which alerts the person who is driving the vehicle. If the person is not in a position to control the vehicle then the accident occurs. Once the accident happens to the vehicle this system will send informa

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Farooq, Danish, and Janos Juhasz. "Simulation Analysis of Contributing Factors to Rider Visibility Issues for Car-Motorcycle Accidents." Periodica Polytechnica Transportation Engineering 48, no. 3 (2019): 203–9. http://dx.doi.org/10.3311/pptr.13521.

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Rider visibility has been considered an important issue in car-motorcycle accidents due to the frequency of unperceptive and negligent driving behavior. Mostly car drivers stated that they didn’t see the rider before the collision. This study aims to investigate the contributing factors that reduce rider visibility in point of view of car drivers for car-motorcycle accidents. The study considered the car-motorcycle accidents which occur in the built-up area. Statistical data analysis categorized the accidents into six dominant accident types. Twenty-five accidents were selected by accident typ

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Chen, Menghuan, Jiarong Liang, Jingyao Shu, and Ren Zhu. "A Hierarchical Accident Recognition Method for Highway Traffic Systems." Journal of Physics: Conference Series 2456, no. 1 (2023): 012034. http://dx.doi.org/10.1088/1742-6596/2456/1/012034.

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Abstract With the rapid development of highway traffic systems, the accident rate of highway remains high. Once an accident occurs, it will cause serious casualties. In this paper, we proposed a highway accident identification method for real-time accident detection through high-speed monitoring. The proposed method focuses on high detecting speed and high recall for car accident. The designed system consists of four parts: first, yolov3 is used to detect the car. Second, identified car frames are put the identified car frame into the Mosse Tracker for tracking. Third, speed and future center

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Sabah, Khudhair Ali, Shakir Hamad Omar, Ghadhban Ahmed Mohammed, Aidi Shareef Anmar, and Farooq Saber Mohammed. "Transforming Car Accident Detection: An IoT and Cloud-Based Approach." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 06, no. 10 (2023): 4741–47. https://doi.org/10.5281/zenodo.10245460.

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The rise in car accidents and fatalities has led to a growing interest among researchers in the potential of IoT (Internet of Things) and its application in smart transportation technology. In this particular project, we aim to tackle the issue of automatic car accident detection and subsequently alert nearby vehicles within a predefined geographic area. Additionally, our device will send notifications to the driver's family in the unfortunate event of an accident. Within the scope of this project, we are set to develop our own unit for detecting car accidents, which can be easily installed ei

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Mohan, M. Khambalkar, H. Panchal Parul, and Joshi Kashyap. "Car Accident Detector and Informer System." Journal of Advancement in Electronics Design 8, no. 1 (2024): 8–17. https://doi.org/10.5281/zenodo.14435694.

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<em>Road safety is a critical concern in the modern world, where advancements in technology have made our lives easier but have also given rise to increased traffic hazards and road accidents. The "Car Accident Detector and Informer" project is an innovative system aimed at enhancing road safety by accurately detecting and informing about car accidents in real-time. This project integrates advanced sensors, microcontroller technology, and communication protocols to create an efficient accident detection and notification system. Utilizing GPS and GSM technology for precise location tracking and

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Rajani Devi, M., and V. Jyothi. "Accident & Alcohol Detection Surveillance Robot." Journal of Physics: Conference Series 2089, no. 1 (2021): 012065. http://dx.doi.org/10.1088/1742-6596/2089/1/012065.

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Abstract Nowadays in India many accidents are occurred due drunk and drive. So, we have made a project to resolve and predict these incidents, in which we used Arduino, Alcohol sensor, GSM and GPS modules. Here the Alcohol sensor is placed inside the car which will detect whether the driver of the car has drunk or not. If the driver is drunk then the Alcohol sensor will get triggered and the car engine will not turn ON or it will OFF the engine if it is already in ON state. Here the other two modules which are GSM and GPS. If the car has met with an accident the limit switch which is present i

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Cholke, Prof Satish C. "Accident Prevention System Using IOT for Car Safety." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 4319–24. https://doi.org/10.22214/ijraset.2025.69378.

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Car accidents truly can be considered as one of the most disastrous phenomena. Thoughthe reasons can be different for those accidents like the main problem can be driverâs unawarenessas well as speed. With the help of IoT we can try to prevent as well as reduce thenumber of accidents.IoT (Internet of things), is one of the most growing technology in IT industries and is used to decrease theburden of human beings.With the help of IoT we are creating a solution for the accident prevention.This is an inten- tion to implement an innovative solution for this problem by developing An Accident Preven

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Sokolovskij, Edgar, and Edvinas Juodka. "Research on the Circumstances of a Car–Cyclist Collision, Based on the Trajectory of the Cyclist’s Movement after the Collision." Sensors 22, no. 17 (2022): 6324. http://dx.doi.org/10.3390/s22176324.

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This article examines a simulated collision between a car and a cyclist, assessing the trajectory of the cyclist’s movement after the impact, namely the throwing distances and angles of the cyclist and bicycle. Information about the car and cyclist models used for the study is provided. Special software PC CRASH 8.1 for the analysis and reconstruction of traffic accidents was used to simulate a car–cyclist collision. Simulations of car–cyclist collisions were carried out, with different speeds for the car and the cyclist, and locations at the time of the impact. The movement of a bicycle after

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Gebre Meles, Hagazi, Desta Brhanu Gebrehiwot, Fireweini Gebrearegay, Gebretsadik Gebru Wubet, and Teodros Gebregergis. "Identification of Determinant Factors for Car Accident Levels Occurred in Mekelle City, Tigray, Ethiopia: Ordered Logistic Regression Model Approach." Momona Ethiopian Journal of Science 13, no. 2 (2022): 225–39. http://dx.doi.org/10.4314/mejs.v13i2.3.

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The car accident injury level is known to be a result of a complex interaction of factors to drivers’ behavior, vehicle characteristics, and environmental condition. Therefore, it is obvious that identifying the contribution of the factors to the accident injury is very critical. The objective of the study was to perform a descriptive analysis to see the characteristics of car accidents, and to assess the prevalence and determinants of road safety practices in Mekelle City, Tigray, Ethiopia. A random sample of data was extracted from the traffic police office from September 2014 to July 2017.

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Farheena Memon, Priti Sonawane, Shruti Sunadalli, Siddhi Thorat, and Dr. Umakant Butkar. "Accident Prevention Using IoT for Car Safety." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 777–81. https://doi.org/10.47392/irjaeh.2025.0108.

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Our project addresses the global road safety crisis, where over 70 percent of accidents are attributed to over-speeding. To mitigate this issue, we are developing an IoT-based car safety device that continuously monitors a vehicle’s speed, compares it, and triggers an alert if the vehicle exceeds the allowed limit in an accident-prone zone. The device features an LCD display to show the area’s accident level and a buzzer that activates until the vehicle leaves the accident-prone zone. This proactive approach encourages safe driving behavior by providing real-time feedback to drivers. In additi

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R, Padma, and Shilpa H H. "Car Accident Detection and Alert System Leveraging Deep Learning." International Journal of Innovative Research in Advanced Engineering 11, no. 05 (2024): 598–610. http://dx.doi.org/10.26562/ijirae.2024.v1105.24.

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This paper presents a novel approach to address the critical issue of car accidents through an advanced Accident Detection and Alerting System (ADAS) empowered by cutting-edge technologies in deep learning, computer vision, and communication APIs. With road safety being a paramount concern worldwide, timely detection of car accidents followed by swift alerting mechanisms can significantly reduce the severity of accidents and save lives. The proposed system architecture incorporates the Ultralytics framework, Convolutional Neural Networks (CNN), You Only Look Once version 8 (YOLOv8), OpenCV, an

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Li, Fan, Honggeng Li, Fuhao Mo, Sen Xiao, and Zhi Xiao. "INVESTIGATION ON RISK PREDICTION OF PEDESTRIAN HEAD INJURY BY REAL-WORLD ACCIDENTS." Transport 34, no. 3 (2019): 394–403. http://dx.doi.org/10.3846/transport.2019.10410.

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Head injury is the most common and fatal injury in car-pedestrian accidents. Due to the lack of human test data, real-world accident data is useful for the research on the mechanism and tolerance of head injuries. The objective of the present work is to investigate pedestrian head-brain injuries through real car-pedestrian accidents and evaluate the existed injury criteria. Seven car-to-pedestrian accidents in China were selected from the IVAC (Investigation of Vehicle Accident in Changsha) database. Accident reconstructions using multi-body models were conducted to determine the kinematic par

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Ksenofontova, Victoria A., and Larisa A. Kiyashko. "MODELING BEHAVIOR OF CAR BODY STRUCTURAL ELEMENTS UNDER THE IMPACT OF WORKING AND EXTREME LOADS." International Journal of Advanced Studies 12, no. 3 (2022): 40–50. http://dx.doi.org/10.12731/2227-930x-2022-12-3-40-50.

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The article is devoted to the study behavior of car structural elements during operation and in extreme conditions that occur during road traffic accidents (RTA). At present, a promising direction of research in this area is the development methods based on the analysis of structural elements of a damaged car deformed as a result an accident and the restoration of the energy exchange pattern upon impact. Research carried out both theoretically and experimentally. Theoretical studies based on the methods of theoretical and applied mechanics, strength of materials and elasticity theo

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Pradyavita, Vicitra, Muhammad Zainul Arifin, and Sobri Abusini. "Model Peluang Kecelakaan Mobil Penumpang pada Ruas Jalan Nasional Gempol Kabupaten Pasuruan." Rekayasa Sipil 17, no. 2 (2023): 230–36. http://dx.doi.org/10.21776/ub.rekayasasipil.2023.017.02.16.

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The increase in accidents is caused by a vehicle, humans, roads, and environmental factors. On the gempol national road in Pasuruan,Regency,0this;study;aims,to;identify;the;characteristics;of,car,drivers, roads, and opportunity models that cause accidents. Data analysis using Structural Equation Modeling (SEM) included 243 questionnaires of drivers who had experienced accidents. Road Characteristics based on user perceptions that focus on geometric conditions at the accident site are the most prevalent accident modeling results that affect accident intensity. If we want to reduce accident rate

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Pompili, Maurizio, Paolo Girardi, Giulia Tatarelli, and Roberto Tatarelli. "Suicidal Intent in Single-Car Accident Drivers." Crisis 27, no. 2 (2006): 92–99. http://dx.doi.org/10.1027/0227-5910.27.2.92.

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This study addressed the issue of a possible link between single-car accident drivers and suicidal intent. In the international literature this topic has generated both positive and negative results. Some authors have stressed unconscious suicidal motivations in various single accidents. Nevertheless, refutation of such theory was demonstrated through experimental studies. We selected 30 single-car accident drivers who had been admitted to emergency departments and then hospitalized for an average period of 10 days. We administered the Reason for Living Inventory (RFL) and investigated their a

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Golze, J., U. Feuerhake, C. Koetsier, and M. Sester. "IMPACT ANALYSIS OF ACCIDENTS ON THE TRAFFIC FLOW BASED ON MASSIVE FLOATING CAR DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 95–102. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-95-2021.

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Abstract. The wide usage of GPS-equipped devices enables the mass recording of vehicle movement trajectories describing the movement behavior of the traffic participants. An important aspect of the road traffic is the impact of anomalies, like accidents, on traffic flow. Accidents are especially important as they contribute to the the aspects of safety and also influence travel time estimations. In this paper, the impact of accidents is determined based on a massive GPS trajectory and accident dataset. Due to the missing precise date of the accidents in the data set used, first, the date of th

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Djuric, Predrag, and Marica Miladinov-Mikov. "Some characteristics of drivers having caused traffic accidents." Medical review 61, no. 9-10 (2008): 464–69. http://dx.doi.org/10.2298/mpns0810464d.

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Introduction. Traffic accidents are caused by road, vehicle and human factors, the latter one causing, either by itself or associated with other factors, more than 90% of car accidents. There are three types of human errors: errors in perception, attention and memory. Material and Methods. The study included thirty healthy drivers, aged 28-40, with 500 km driven per a week, who had caused at least one traffic accident, but not being intoxicated by alcohol or drugs during the accident. The same number of controls were included. Both the cases and controls were interviewed. Results. We found no

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McKenzie, Andrew, Daniel Harbour, and Laurel J. Watkins. "A Curious Car Accident." International Journal of American Linguistics 88, S1 (2022): S223—S233. http://dx.doi.org/10.1086/718246.

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Nguyen, Thomas, Marie-Luce Chirade, Apostolos C. Agrafiotis, et al. "A lucky car accident." CJEM 15, no. 04 (2013): 237–38. http://dx.doi.org/10.2310/8000.2012.120781.

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Seema, S. Patil, S. Patil Shilpa, R. Kumbhar Namita, and Sonale Mohan. "Modern Car Safety System using PIC Microcontroller." Journal of Analog and Digital Devices 4, no. 1 (2019): 19–23. https://doi.org/10.5281/zenodo.2622555.

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Intelligent car will provide very reliable and safe life to human. Safety is the most essential factor in automobile industry. One single move of driver can cause terrify accident. Percentage of the road accident is increasing day by day. Most   of the innocent people lost their life in the road accident so there have always been great needs of intelligent systems. Individual car can be equipped with feature of autonomy. There are many causes of the road accident like some technical error or human error but most of them are due to the human error. The human error can be avoided by us

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Echab, H., N. Lakouari, H. Ez-Zahraouy, and A. Benyoussef. "Cellular automata model simulating traffic car accidents in the on-ramp system." International Journal of Modern Physics C 26, no. 09 (2015): 1550100. http://dx.doi.org/10.1142/s0129183115501004.

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In this paper, using Nagel–Schreckenberg model we study the on-ramp system under the expanded open boundary condition. The phase diagram of the two-lane on-ramp system is computed. It is found that the expanded left boundary insertion strategy enhances the flow in the on-ramp lane. Furthermore, we have studied the probability of the occurrence of car accidents. We distinguish two types of car accidents: the accident at the on-ramp site (Prc) and the rear-end accident in the main road (Pac). It is shown that car accidents at the on-ramp site are more likely to occur when traffic is free on road

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Volchatova, I. V. "Road Accidents: Transport and Social Risks." World of Transport and Transportation 14, no. 3 (2016): 232–42. http://dx.doi.org/10.30932/1992-3252-2016-14-3-21.

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On the basis of statistics of traffic accidents accident rate on the roads of Irkutsk region was analyzed. It is shown that the majority of accidents with victims occur due to violations of traffic rules by drivers. The dependence of the number of accidents and injuries on time of day was identified. The maximum contribution to accident rate is made by car drivers. represented by all kinds of transport – rail, road, air, inland waterways and a network of railways and roads. The basis of the road network is federal, regional and local roads with the length, respectively, 1,7, 12.6 and 17 thousa

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Factor, Roni, Gad Yair, and David Mahalel. "Who by Accident? The Social Morphology of Car Accidents." Risk Analysis 30, no. 9 (2010): 1411–23. http://dx.doi.org/10.1111/j.1539-6924.2010.01423.x.

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Wahab, Wilton, Angelalia Roza, Markis Febi Ramadhani, and Yessy Yusnita. "Analisis Kecelakaan Lalu Lintas Ruas Jalan Padang - Solok dengan Metode Accident Rate." Jurnal Ilmiah Rekayasa Sipil 20, no. 2 (2023): 234–43. http://dx.doi.org/10.30630/jirs.v20i2.1216.

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The Padang-Solok road section is one of the national road sections that frequently experiences accidents every year. The aim of this research is to determine the factors that cause accidents on the Jalan Lubuk Paraku Sitinjau Lauik section based on the accident rate, and find out alternative prevention solutions future traffic accidents. This type of research is descriptive research using the Accident Rate method. The factors reviewed are the total number of accidents that occur and the length of the road section studied. An Accident Rate value > 1.0 will be classified as a Black Spot, whil

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Abdulmajeed Alamri, Tarek M. Esmael, Sami Fawzy, et al. "A study on Private Car Accidents." International Journal of Novel Trends in Pharmaceutical Sciences 11, no. 1 (2021): 10–24. http://dx.doi.org/10.26452/ijntps.v11i1.1409.

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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 ho

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Reinaldy, Gerardo, Peter Rhatodirdjo Angka, Albert Gunadhi, Hartono Pranjoto, Yuliati, and Rasional Sitepu. "Environmental management for car accident precaution and remote notification." E3S Web of Conferences 475 (2024): 02013. http://dx.doi.org/10.1051/e3sconf/202447502013.

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Cars have been utilized as reliable means of transportation beyond the capacity of motorcycles. However, the misuse and abuse of these vehicles through unsafe practices like speeding and reckless driving poses a great risk that results in accidents – and sometimes – with casualties. In such unfortunate circumstances, the importance of prompt accident notification is extremely important for the driver. This notification should encompass vital accident details and precise location information. Thus, the implementation of a comprehensive system for accident warnings and the remote transmission of

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Muhammad, Alwan Naufal, and Suganda Girsang Abba. "Traffic accident classification using IndoBERT." International Journal of Informatics and Communication Technology 13, no. 1 (2024): 42–49. https://doi.org/10.11591/ijict.v13i1.pp42-49.

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Traffic accidents are a widespread concern globally, causing loss of life, injuries, and economic burdens. Efficiently classifying accident types is crucial for effective accident management and prevention. This study proposes a practical approach for traffic accident classification using IndoBERT, a language model specifically trained for Indonesian. The classification task involves sorting accidents into four classes: car accidents, motorcycle accidents, bus accidents, and others. The proposed model achieves a 94% accuracy in categorizing these accidents. To assess its performance, we compar

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Yamada, Yasunori, Kaoru Shinkawa, Masatomo Kobayashi, et al. "Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study." Journal of Medical Internet Research 23, no. 4 (2021): e27667. http://dx.doi.org/10.2196/27667.

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Background With the rapid growth of the older adult population worldwide, car accidents involving this population group have become an increasingly serious problem. Cognitive impairment, which is assessed using neuropsychological tests, has been reported as a risk factor for being involved in car accidents; however, it remains unclear whether this risk can be predicted using daily behavior data. Objective The objective of this study was to investigate whether speech data that can be collected in everyday life can be used to predict the risk of an older driver being involved in a car accident.

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Nagurnas, Saulius, Valentinas Mickūnaitis, Robertas Pečeliūnas, and Aurelijus Vestartas. "ANALYSIS OF CALCULATION METHODS USED FOR ACCURACY EVALUATION OF THE RESULTS OF ROAD ACCIDENT EXAMINATION." TRANSPORT 23, no. 2 (2008): 156–60. http://dx.doi.org/10.3846/1648-4142.2008.23.156-160.

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For examination of road accidents often calculations are being performed according to mathematical equations having many variables, real values of which are of stochastic nature and they depend on many accident factors. Therefore it is important to know limits of determination of final values of every being analysed parameter of car movement and their probabilistic characteristics. This paper presents some cases of simulation of some road situations by mathematical methods of calculations, which now are widely used for evaluation of accuracy of values of the calculated parameter (in this paper

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Yu, Ye, and Zhiyuan Liu. "A data-driven on-site injury severity assessment model for car-to-electric-bicycle collisions based on positional relationship and random forest." Electronic Research Archive 31, no. 6 (2023): 3417–34. http://dx.doi.org/10.3934/era.2023173.

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<abstract> <p>Vulnerable road users (VRUs) are usually more susceptible to fatal injuries. Accurate and rapid assessment of VRU injury severity at the accident scene can provide timely support for decision-making in emergency response. However, evaluating VRU injury severity at the accident scene usually requires medical knowledge and medical devices. Few studies have explored the possibility of using on-site positional relationship to assess injury severity, which could provide a new perspective for on-site transportation professionals to assess accident severity. This study propo

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Dumbrava, Dan Perju, Carmen Corina Radu, Ovidiu Chiroban, et al. "Retrograde Extrapolation of Blood Alcohol Concentration A theoretical and practical approach." Revista de Chimie 70, no. 2 (2019): 407–9. http://dx.doi.org/10.37358/rc.19.2.6925.

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The influence of high blood alcohol levels in vehicle drivers involved in car accidents is a growing process, despite the legal punishments which have been already increasing in severity. Therefore, determining the level of blood alcohol concentration at the moment of the car accident is essential in establishing the legal responsibility of the driver. However this exact determination is in most of the cases difficult, due to the fact that between the moment of the car accident and the collecting of the blood in a medical unity a varying time frame passes, depending essentially of the distance

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Benea, Bogdan, and Adrian Soica. "The Contact Phase in Vehicle–Pedestrian Accident Reconstruction." Applied Sciences 13, no. 16 (2023): 9404. http://dx.doi.org/10.3390/app13169404.

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The need for continuous research to refine the models used in forensic accident reconstruction appears with the development of new car models that satisfy consumer complaints. This paper analyzed a sub-sequence of car and pedestrian accidents from the perspective of the distance traveled by them in the contact phase with the aim of improving the information regarding the reconstruction of road accidents. This research included the analysis of some real tests with pedestrian dummies, as well as simulations of the impact between different classes of vehicles and pedestrians in two different walk

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Naufal, Muhammad Alwan, and Abba Suganda Girsang. "Traffic accident classification using IndoBERT." International Journal of Informatics and Communication Technology (IJ-ICT) 13, no. 1 (2024): 42. http://dx.doi.org/10.11591/ijict.v13i1.pp42-49.

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<span>Traffic accidents are a widespread concern globally, causing loss of life, injuries, and economic burdens. Efficiently classifying accident types is crucial for effective accident management and prevention. This study proposes a practical approach for traffic accident classification using IndoBERT, a language model specifically trained for Indonesian. The classification task involves sorting accidents into four classes: car accidents, motorcycle accidents, bus accidents, and others. The proposed model achieves a 94% accuracy in categorizing these accidents. To assess its performanc

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Lupita, Anggun, M. Yasin Ardhy, and Muhammad Fahruddin. "PERLINDUNGAN HUKUM TERHADAP KONSUMEN PENGGUNA JASA TRANSPORTASI ONLINE." Jurnal Hukum Jurisdictie 1, no. 2 (2019): 13–33. http://dx.doi.org/10.34005/jhj.v1i2.13.

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Anggun Lupita, 2018, Legal Protection against Users of Online Transportation Services, Thesis, Faculty of Law, Islamic University as-Shafi'iyah, Jakarta. This research aims to find out the implementation of legal protections for consumers of online transportation service users who experience losses or accidents and dispute resolution of users of online transportation services. The purpose of this study is to find out how to implement legal protections for consumers of online transportation service users who experience losses or accidents. Formulation of the problem: (1) How to implement

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Evtukov, Stanislav, Yaroslav Vasilev, Vseslav Voronin, and Egor Golov. "Differentiating the stiffness of the side of the car." MATEC Web of Conferences 341 (2021): 00035. http://dx.doi.org/10.1051/matecconf/202134100035.

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Expertise on the materials of road accidents (road accidents), calculate the speed of the vehicles involved in the accident by analyzing the resulting deformation damage by the average stiffness coefficients of the vehicle bodies. But this entails the presence of an error in the calculation and, as a result, not a correct result due to the fact that the internal structure of the side of the car is heterogeneous – the stiffness in each of its areas is different. To eliminate possible errors when using the averaged coefficients, the article offers a method for calculating the stiffness coefficie

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V.SARANYA and S.BOOPALAN. "Superior Car Tracking Device Primarily Based on IOT." Recent Trends in Information Technology and its Application 6, no. 3 (2023): 50–54. https://doi.org/10.5281/zenodo.8340643.

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<em>Living in today’s world has become dangerous with the number of road accidents. Increasing in an enormous manner. Even a cautious driver can land up in accidents in spite of being very careful. Last year alone the number fatal accidents claimed the lives of 1, 40, 000 people. The Main aim of this project is to offer an integrated security and the automobile accident detection system. When the owner loses his car, it can be detected by the IOT based control system. The system action depends upon the owners message which helps to perform the door locking, car stopping and alarm generat

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Asman, Satri, Werman Kasoep, and Nefy Puteri Novani. "Rancang Bangun Sistem Pendeteksi Kecelakaan Dan Tracking Lokasi Mobil Berbasis Android." CHIPSET 2, no. 02 (2021): 7–14. http://dx.doi.org/10.25077/chipset.2.02.7-14.2021.

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This system is designed to know a car accident has happened and also to track a car location,when the accident happened, the system will send accident’s location data to user/familyAndroid application. Thus, user/family knows the accident and they can call the authorities orambulance as soon as possible to help accident’s victim. This system uses some componentssuch as Arduino Uno as a microcontroller, accelerometer sensor MMA7361 as an accelerationdetector, SIM808 Module as a GSM/GPRS network provider and also as GPS sensor. Thissystem tracks the car’s location continuously then the location

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Asman, Satri, Werman Kasoep, and Nefy Puteri Novani. "Rancang Bangun Sistem Pendeteksi Kecelakaan Dan Tracking Lokasi Mobil Berbasis Android." CHIPSET 2, no. 02 (2021): 47–54. http://dx.doi.org/10.25077/chipset.2.02.47-54.2021.

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This system is designed to know a car accident has happened and also to track a car location,when the accident happened, the system will send accident’s location data to user/familyAndroid application. Thus, user/family knows the accident and they can call the authorities orambulance as soon as possible to help accident’s victim. This system uses some componentssuch as Arduino Uno as a microcontroller, accelerometer sensor MMA7361 as an accelerationdetector, SIM808 Module as a GSM/GPRS network provider and also as GPS sensor. Thissystem tracks the car’s location continuously then the location

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Mustafa, Gumus, Abraham Michael, and Xin Frank. "Surveillance and Black Box for Car." Engineering: An International Journal 2, no. 2 (2020): 23–31. https://doi.org/10.5281/zenodo.3775311.

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Evidence collection car is a device to record driving history which can be used for car judicial in case of car accident or related violations. This device is installed in car to stores readings of engine temperature, detection of obstacle and condition of seat belt that could be judicial hint for investigating car-related violations. Using GSM images captured inside a car can be collected through android. This whole process used to collect captured image and information like temperature, obstacle and seat belt. This collected data is then sent through GSM to concerned authorities. The main ai

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Sheikh, Mohammad M. R. "Statistical Modelling of Road Traffic KSI Car Accidents in England (STATS19)." International Journal of Mathematics and Statistics Studies 10, no. 4 (2022): 14–47. http://dx.doi.org/10.37745/ijmss.13/vol10n41447.

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Several generalised linear models for counts (i.e., Poisson Model) as well as for binary response (i.e., Binary Logistic Model) and ordinal response (i.e., Ordinal Logistic Model) depending on selected multiple explanatory factors (discrete/ categorical) were developed for the road KSI car accidents in England based on STATS19 data (that were manipulated and several new factors were created), after exploratory exploration of discrete/ dichotomous/ nominal/ ordinal factors applied graphical EDA techniques followed by univariate ANOVA/ ANCOVA as well as MANOVA/ MANCOVA based on same selected mul

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Himte, Simran, Bhavana Dongare, Vanshada Naware, Mrunmai Muley, Prachi Yadav, and Prof. Divya Gorde. "Intelligent In-Car Safety Solution for Accident Detection and Response." International Journal of Ingenious Research, Invention and Development (IJIRID) 3, no. 1 (2024): 43–49. https://doi.org/10.5281/zenodo.10894419.

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<em>The escalating pace of technological development has given rise to an increased incidence of traffic hazards and road accidents, often exacerbated by the absence of prompt emergency facilities. This project proposes a comprehensive solution to address this critical issue. The primary focus is on the detection of dangerous driving behaviors utilizing an in-car accelerometer. The accelerometer is configured to receive signals, enabling the identification of severe accidents. In the event of a frontal impact, a liquid gel impact sensor comes into play, enhancing accident detection. The GPS Ne

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Marianingrum, Dyah, Kasih Purwati, and Muhammad Raflin Ilhami Pratama. "GAMBARAN POLA LUKA PADA KORBAN KECELAKAAN LALU LINTAS DI RUMAH SAKIT UMUM DAERAH RAJA AHMAD TABIB PROVINSI KEPULAUAN RIAU PERIODE JANUARI-DESEMBER TAHUN 2022." Zona Kedokteran: Program Studi Pendidikan Dokter Universitas Batam 14, no. 1 (2024): 17–25. http://dx.doi.org/10.37776/zked.v14i1.1362.

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Background: Traffic accidents are a leading cause of death in developing countries, and the incidence continues to rise with population growth and increased transportation mobility. This study aims to analyze the pattern of injuries in traffic accident victims treated at Raja Ahmad Tabib Regional General Hospital, Riau Islands Province, during the period from January to December 2022. Methods: This study utilized a retrospective descriptive design with a cross-sectional approach. The population consisted of 1,533 traffic accident victims during the January-December 2022 period, and a sample of

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