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Journal articles on the topic 'Traffic accidents in motion pictures'

Author: Grafiati

Published: 25 July 2024

Last updated: 31 July 2025

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1

Kishor, Uikey, Saiyam Shailendra, Joy Morin, and Bhalavi Mona. "Efficacy of Monolateral External Fixator in the Complicated Traumatic Lower Extremity through Limb Reconstruction System with Evaluating The Result in Respect to Time for Union, Knee Range of Motion and Shortening." International Journal of Toxicological and Pharmacological Research 13, no. 8 (2023): 124–28. https://doi.org/10.5281/zenodo.11097456.

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<strong>Background: </strong>High-impact accident, often resulting from such as car crashes, motorcycle, and falls from heights, is a significant cause of fatalities among the younger population worldwide. The implications of losing a young and active member of the population due to such traumatic incidents are indeed profound and multifaceted, affecting individuals, families, communities, and the nation as a whole. The LRS (limb reconstruction system) consists of an assembly of clamps usually two or three which can slide on a rigid rail & can be connected by compression distraction u

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Dwiatmoko, Hermanto, Muhammad Isradi, Joewono Prasetijo, Munzilah MD Rohani, Syafiadi Rizki Abdila, and Andri Irfan Rifai. "Accident Prevention and Traffic Safety for Sekolah Alam Robbani Bekasi - (KidSafe)." Communautaire: Journal of Community Service 2, no. 1 (2023): 56–63. http://dx.doi.org/10.61987/communautaire.v2i1.162.

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In 2020, the number of traffic accidents from student age was 42,604 people. Meanwhile, there were 26,355 traffic accidents from student age until September this year. Based on gender, the majority of traffic accidents occurred in men. Traffic accidents contribute greatly as one of the causes of death in Indonesia. Traffic accidents have a high fatality rate. Data shows that in one year, 25, 2666 people died due to traffic accidents. Among the victims of traffic accidents are school children. About 95% of the causes of accidents are human error factors. The purpose of this community service is

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Pelenyte-Vyšniauskiene, Lina, and Algirdas Jurkauskas. "RESEARCH INTO OCCUPANT'S MOTION IN VEHICLES DURING CRASHES." TRANSPORT 19, no. 4 (2004): 184–90. http://dx.doi.org/10.3846/16484142.2004.9637974.

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Traffic accidents depend on many factors and circumstances. Important data are registered by taking photos of the accident place, measuring the deformations of vehicles and skidding and sliding traces. Weather conditions, drivers’ and pedestrian's actions are also taken into account. However the existing data are far from sufficient to conduct a research into traffic accidents. In such cases mathematical modelling and the application of computer programs are very helpful. This article deals with the processes during the collision of vehicles as well as the occupant's dynamics inside the vehicl

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Hitendra Wamborikar, Priyank Bhatt, Swapnil Date, Naresh Dhaniwala, and Khizar Khan. "The multi-modality approach in a case of fracture of the humerus with an ipsilateral floating knee: A case report." International Journal of Research in Pharmaceutical Sciences 11, SPL4 (2020): 1088–92. http://dx.doi.org/10.26452/ijrps.v11ispl4.4248.

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Ipsilateral fractures of humerus, femur and tibia is a rare entity. The number of fractures resulting due to road traffic accidents is on the rise. These Type of injuries usually occur due to high-velocity road traffic accidents. High-velocity road traffic accidents are associated with multiple bony injuries as well as injuries to various internal organs. These injuries are often difficult to manage due to their complex nature. Mostly multiple fractures are produced in ipsilateral limbs. This condition makes the management even more difficult. Hence a multi-modality approach is often required.

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Prentkovskis, Olegas, Edgar Sokolovskij, and Vilius Bartulis. "INVESTIGATING TRAFFIC ACCIDENTS: A COLLISION OF TWO MOTOR VEHICLES." TRANSPORT 25, no. 2 (2010): 105–15. http://dx.doi.org/10.3846/transport.2010.14.

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Traffic safety may be ensured by normal operation of all elements of the system, including the driver, a motor vehicle and transportation medium. Insufficient safety of some particular elements of this system (the lack of discipline of the participants of traffic, poor technical state of a motor vehicle or road, etc.) are the main causes of traffic accidents. Statistical data on traffic accidents in 2000–2009 in Lithuania is presented. Collisions of motor vehicles in 2009 make one of the largest proportion of all traffic accidents ‐ 33.4%. In 2009 drivers, were the main traffic accident perpet

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Kurczyński, Dariusz, and Andrzej Zuska. "Analysis of the Impact of Invisible Road Icing on Selected Parameters of a Minibus Vehicle." Sensors 22, no. 24 (2022): 9726. http://dx.doi.org/10.3390/s22249726.

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The measurement of acceleration during vehicle motion can be used to assess the driving styles and behaviours of drivers, to control vehicle traffic, to detect uncontrolled vehicle behaviour, and to prevent accidents. The measurement of acceleration during vehicle motion on an icy road can be used to warn the driver about changing conditions and the related hazards. This paper presents the results of testing the motion parameters of a Ford Transit adapted for passenger transport in critical traffic conditions. It can contribute to the improvement of road safety. Critical traffic conditions are

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Wang, Feng, and Zhaofeng Zhang. "Route Control and Behavior Decision of Intelligent Driverless Truck Based on Artificial Intelligence Technology." Wireless Communications and Mobile Computing 2022 (September 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/7025081.

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With the increase in global car ownership, the demand for traffic safety is very strong. Research shows that drivers account for more than 90% of global traffic accidents. Driverless cars can reduce traffic accidents caused for these reasons and greatly improve traffic safety. At the same time, driverless real-time path planning can select the best driving route for vehicles, reduce traffic congestion, and improve the efficiency of transportation. To sum up, driverless vehicles are considered an important solution to ensure traffic safety, improve traffic efficiency, reduce energy consumption

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Bresch, M., J. Shi, and R. Kokozinski. "Employing beam-forming for estimating the direction of arrival in a multi-path propagation environment." Advances in Radio Science 3 (May 12, 2005): 151–55. http://dx.doi.org/10.5194/ars-3-151-2005.

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Abstract. Due to recent researches on traffic accidents with vulnerable road users (VRUs), several measures revealed a great opportunity of reduction. However, all measures applied so far failed to reduce the number of traffic accidents if there is no line-of-sight. Therefore, a transponder signal is utilized to make the VRU visible. The motor vehicle carries a mobile receiver for VRU detection and location. The receiver employs digital beam-forming for estimating the direction of arrival (DOA) with an antenna array for RF ISM band. A sequence of DOA estimations is used for location and motion

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Krasavin, P. A., and V. S. Nadezhdin. "The influence of the set angle of steered wheels on safety of vehicle in curvilinear motion." Izvestiya MGTU MAMI 8, no. 1-1 (2014): 23–25. http://dx.doi.org/10.17816/2074-0530-67674.

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The article presents the possibility of reducing the number of traffic accidents caused during the curvilinear motion, through choosing the optimal parameters of the angular orientation of steered wheels and increasing the critical speed of passing the turn.

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Micu, Elena Alexandra, Eugene John Obrien, Abdollah Malekjafarian, and Michael Quilligan. "Estimation of Extreme Load Effects on Long-Span Bridges Using Traffic Image Data." Baltic Journal of Road and Bridge Engineering 13, no. 4 (2018): 429–46. http://dx.doi.org/10.7250/bjrbe.2018-13.427.

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This paper proposes an algorithm for the estimation of extreme intensity of traffic load on long-span bridges. Most Weigh-in-Motion technologies do not operate in congested conditions which are the governing cases for these bridges. In the absence of Weigh-in-Motion data on the bridge itself, a correlation between vehicle weights and their lengths is established here using a (free- flowing) Weigh-in-Motion database. Photographic images of congested traffic are modelled here for three bridges using weights estimated from lengths and one year of Weigh-in-Motion data. The actual weights are taken

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Prasolenko, O., D. Burko, T. Lutsenko, and I. Tkachenko. "PATTERNS OF DRIVERS' ATTENTION CHANGES WHEN MOTION VIA URBAN STREETS IN THE EVENING TWILIGHT CONDITIONS." Municipal economy of cities 3, no. 156 (2020): 41–45. http://dx.doi.org/10.33042/2522-1809-2020-3-156-41-45.

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The drivers receive about 90% of the information through the vision. The road illumination is high important for vision at night. A certain level of illumination is required in order for the eyes to recognize an object. When the brightness of an object is lower than the brightness of the background, or when the brightness of an obstruction is higher than the background’s brightness, objects can be recognized by silhouette. The drivers fraught with the greatest difficulties when the road illumination changes sharply in the conditions of low light driving. Traffic accidents at night are an impor

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L, Nishanth Melvin. "An Automated System for Accident Detection Using OpenCV." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3815–27. https://doi.org/10.22214/ijraset.2025.68402.

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Road accidents are one of the leading causes of fatalities and severe injuries worldwide, creating an urgent need for quick and accurate detection methods to reduce emergency response time. Traditional accident reporting systems rely heavily on human intervention, such as eyewitness accounts or delayed manual reports, which often lead to a lag in response time. It presents an automated accident detection system that uses OpenCV, a powerful computer vision library, to monitor and analyze real-time video feeds from traffic surveillance cameras, identifying accidents the moment they occur . Utili

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Kolla, Eduard, Ján Ondruš, and Peter Vertaľ. "Reconstruction of traffic situations from digital video-recording using method of volumetric kinetic mapping." Archives of Automotive Engineering – Archiwum Motoryzacji 84, no. 2 (2019): 147–70. http://dx.doi.org/10.14669/am.vol84.art11.

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In the past the traffic accident reconstruction was based in principle only on indirect methods that use accident marks and witness reports. These data were then used within backward reconstruction of event for determination of motion status of accident participants and expression of desirable quantities as are initial velocities, impact velocities, distances travelled or temporal conditions. These methods and their accuracy are dependent on the width of intervals of input quantities or on limited possibilities for motion synchronization between numerable participants of road traffic accidents

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Kasmalkar, Indraneel, and Jenny Suckale. "Traffic accidents and delays present contrasting pictures of traffic resilience to coastal flooding in the San Francisco Bay Area, USA." Urban Climate 37 (May 2021): 100851. http://dx.doi.org/10.1016/j.uclim.2021.100851.

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Nugroho, Aji Brahma. "Sistem Pemantau Pelanggaran Lalu Lintas Pada Traffic Light Menggunakan Sensor SRF04 Dan Kamera Berbasis Mikrokontroler AtMega8535." Jurnal Teknik Elektro dan Komputasi (ELKOM) 1, no. 1 (2019): 18–26. http://dx.doi.org/10.32528/elkom.v1i1.2179.

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Monitoring System Traffic Violations In Traffic Light Uses SRF04 Sensor and Camera, Based Microcontroller ATmega8535 is a tool designed to facilitate the Traffic Police in a curb traffic in the area of Traffic Light. The purpose of making this tool is to minimize accidents that often happen because of many motorists who broke a red light while making the Traffic Police should not continue to maintain the traffic light area. This final report discusses the design and operation of mechanical sensor SRF04, the working principle of this device is when the red light circuit will be active, so when

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Dudziak, Marian, Andrzej Lewandowski, and Michał Śledziński. "Analysis of the loss of vehicle motion stability in the conditions of steering control disturbance." MATEC Web of Conferences 254 (2019): 04001. http://dx.doi.org/10.1051/matecconf/201925404001.

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Disturbances in the vehicle motion may be caused by different factors and in many cases are the reason for dangerous traffic incidents. Disturbances within the human-vehicle system are particularly hazardous. An innovative method was designed for analyzing and simulating the process of loss of vehicle motion stability after interference in the steering system, e.g. by acting on the steering wheel by the passenger. The subject of the study is the theoretical and experimental analysis of the vehicle motion path kinematics together with the duration of the disturbance, driver’s reaction time and

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ANUJA, A., DG LOUKYA, RATNAM JUSTIN, and IMMACULATE MARY GERARDINE. "MODELING AND SUPERVISION OF SMART TRAFFIC LIGHT CONTROLLER USING AT89C51 MICROCONTROLLER." Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/ Journal of Tianjin University Science and Technology 56, no. 09 (2023): 215–25. https://doi.org/10.5281/zenodo.8375509.

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<strong>Abstract</strong> Traffic light control systems are widely used to monitor and control the flow of vehicles through the junction of many roads. They aim to realise smooth motion of cars in the transportation routes. However, the synchronisation of multiple traffic light systems at adjacent intersections is a complicated problem given the various parameters involved. Conventional systems do not handle variable flows approaching the junctions. In addition, the mutual interference between adjacent traffic light systems, the disparity of cars flow with time, the accidents, the passage of e

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Liu, Sheng Xiong, Zhi Yong Yin, Zhong Min Chen, et al. "The Research on Mechanism of Contre-Coup Injury in Brain Decelerating Impact Based on Trolley Experiment." Applied Mechanics and Materials 394 (September 2013): 617–21. http://dx.doi.org/10.4028/www.scientific.net/amm.394.617.

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Based on the platform of trolley equipment, this paper used a liquid containing gas as a sensor to establish a new testing method in order to simulate the mechanism of contre-coup injury during head decelerating impact. After pouring the liquid containing gas into the transparent skull model, the head model was sealed and fixed to the trolley. Then the trolley was trigged to impact the counterguard as the speed of 50km/h, the impacting course was recorded by a high-speed camera at the same time. Finally, the movement of the gas in the liquid during the impact was analyzed using the sequence pi

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Ariono Rahman, Aziz, Ridho Hendra Yoga Perdana, and Martono Dwi Atmajda. "Design of Vehicle Motion Records on Motorbikes for Traffic Accident Investigation Data Based on GSM Module." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 10, no. 2 (2020): 102–6. http://dx.doi.org/10.33795/jartel.v10i2.64.

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Motorcycle are movable objects that become public transportation needs. Motorcyclists include people from various backgrounds have experienced accidents. One of the causes of accidents is the speed. Motorcycle that has accident will fall and get injured. The need to know the cause of the accident requires investigation and analysis. Data needed to analyze traffic accidents such as vehicle operating speed and location of the accident. Required data can be obtained by utilizing infrared sensor as motorcycle speed sensor, gyroscope sensor for indicators of falling or not motorcycle and GPS to det

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Pan, Zebin. "Analysis of Sidewalk Traffic Lights Setting Modes Optimization." Communications in Humanities Research 45, no. 1 (2024): 32–39. http://dx.doi.org/10.54254/2753-7064/45/20240059.

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There are often some problems with the traditional setting mode of traffic lights, especially on some non-main roads. The unreasonable setting of pedestrian traffic lights can easily lead to empty spaces for people and vehicles, waste resources, and increase the risks of traffic congestion, Although the push-button traffic lights improves traffic efficiency, there is still a waste of waiting time for pedestrians and vehicles due to the fixed setting of the traffic time. This article mainly studies the use of machine learning to solve the recognition, motion direction, and time models of people

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Raghava Rao, K., K. Sai Sasi Preetham, K. Edukondalu, and L. V.Ragavendra Reddy. "Connecting vehicles using Li-Fi technology for reducing accidents." International Journal of Engineering & Technology 7, no. 2.7 (2018): 104. http://dx.doi.org/10.14419/ijet.v7i2.7.10270.

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Li-FI technology is transferring of data using Led’s in visible light spectrum. Basically Li-Fi is similar to that of Wi-Fi but this Li-Fi is 10 times faster than Wi-Fi, as Wi-Fi uses radio frequency which has some transmission limitation Li-Fi is very useful to replace such limitations. We can use this technology in many areas like hospitals air traffic control, vehicles and under water communications.in this Li-Fi technology we mainly use led’s as a transmitter which will send stream of data by toggling with a speed that can’t be identified by the human eye and photodiode as a receiver which

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MARUYAMA, YOSHIHISA, MASATO SAKAYA, and FUMIO YAMAZAKI. "EFFECTS OF EARTHQUAKE EARLY WARNING TO EXPRESSWAY DRIVERS BASED ON DRIVING SIMULATOR EXPERIMENTS." Journal of Earthquake and Tsunami 03, no. 04 (2009): 261–72. http://dx.doi.org/10.1142/s1793431109000639.

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To reduce casualties and troubles due to earthquakes, Japan Meteorological Agency introduced earthquake early warning (EEW) to general public on 1 October 2007. However, the possibility that EEW induces traffic accidents exists because EEW through car radio may not be transmitted to all the expressway drivers. Hence, the effects of EEW were investigated based on driving simulator experiments. Two kinds of experiments were performed in this study. First, single driving simulator was employed to reveal the effects of EEW on expressways. The reactions of drivers with/without warning are compared

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Gelbal, Sukru Yaren, Bilin Aksun-Guvenc, and Levent Guvenc. "Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication." Electronics 13, no. 2 (2024): 331. http://dx.doi.org/10.3390/electronics13020331.

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Pedestrians, bicyclists, and scooterists are Vulnerable Road Users (VRUs) in traffic accidents. The number of fatalities and injuries in traffic accidents involving vulnerable road users has been steadily increasing in the last two decades in the U.S., even though road vehicles now have perception sensors like cameras to detect risk and issue collision warnings or apply emergency braking. Perception sensors like cameras are highly affected by lighting and weather conditions. Cameras, radar, and lidar cannot detect vulnerable road users in partially occluded and occluded situations. This paper

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BULATOVA, O. U. "MOTION PLANNING OF SELF-DRIVING CARS ACCORDING TO LIMITS ON THE ROUTE." World of transport and technological machines 74, no. 3 (2021): 65–70. http://dx.doi.org/10.33979/2073-7432-2021-74-3-65-70.

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The transfer of vehicle control to artificial intelligence can significantly reduce the number of road accidents. Currently, the vector of intelligent transport systems development is aimed at the introduction and distribution of highly automated vehicles. The main task of such vehicles is to move safely from the point of departure to the destination according to the traffic rules and the en-vironment. This article discusses planning issue of self-driving cars movement and the main limits on routes.

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Venkatasubramanian, S., A. Abirami, R. Kannan, and S. Senthil. "Optimizing Traffic Prediction in Continuous Data Stream in Vehicular Networks with Triplet Transfer Learning and Dholes Hunting-Based Optimization." FMDB Transactions on Sustainable Intelligent Networks 1, no. 3 (2024): 165–77. https://doi.org/10.69888/ftsin.2024.000286.

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Traffic Congestion Detection Services (TCDSs) in network environments that use continuous data streams receive much information to detect and update road segments at low speeds and high vehicle density. Traditional traffic monitoring is laborious and inefficient. The biggest concern with manual monitoring is traffic controller security. Thus, in VANET (Vehicular Ad hoc Network), predicting traffic and monitoring congestion are essential to reduce delays and accidents. Numerous categorisation and prediction algorithms provide clear vehicle forecasts and collision-free network pathways. Traditio

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Olejnik, Krzysztof. "Study of the population in terms of knowledge about the distance between vehicles in motion." Open Engineering 11, no. 1 (2021): 310–18. http://dx.doi.org/10.1515/eng-2021-0031.

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Summary When using vehicles on the road, road users are exposed to accidents. The human factor contributes greatly to their occurrence. The article presents pilot studies on the state of knowledge of drivers referring to maintaining the necessary distance behind the preceding vehicle in road traffic. The state of knowledge governing applicable law in the field of distance between vehicles was also examined. They were carried out by a group of employees using road transport and students. Even with the new technical devices which determine distance, in addition to the lack of knowledge of driver

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Nijaat Zaman, Nijaat Zaman. "AN INTELLIGENT TRAFFIC CONTROL SYSTEM FOR BAKU." PIRETC-Proceeding of The International Research Education & Training Centre 24, no. 03 (2023): 04–10. http://dx.doi.org/10.36962/piretc24032023-04.

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This article introduces a new traffic control system framework, Mobile Intelligent Traffic Management System (MITCS), designed for Baku for the next generation. According to statistics, every year people lose 154 hours in traffic on average. 1.3 million people die in accidents. The system combines micro-mechanical and electrical technologies embedded system, wireless transmission, image processing, and solar module. The objectives of this study are: 1. Research and design new and multifunctional traffic controller in the box; 2. Design a cost-effective basis contribution to the communication n

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Kolat, Máté, Olivér Törő, and Tamás Bécsi. "Performance Evaluation of a Maneuver Classification Algorithm Using Different Motion Models in a Multi-Model Framework." Sensors 22, no. 1 (2022): 347. http://dx.doi.org/10.3390/s22010347.

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Environment perception is one of the major challenges in the vehicle industry nowadays, as acknowledging the intentions of the surrounding traffic participants can profoundly decrease the occurrence of accidents. Consequently, this paper focuses on comparing different motion models, acknowledging their role in the performance of maneuver classification. In particular, this paper proposes utilizing the Interacting Multiple Model framework complemented with constrained Kalman filtering in this domain that enables the comparisons of the different motions models’ accuracy. The performance of the p

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Huang, Jinfan, and Rong Li. "Smoking Driving Behavior Detection Based on Deep Learning." Academic Journal of Science and Technology 5, no. 2 (2023): 59–62. http://dx.doi.org/10.54097/ajst.v5i2.6049.

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Smoking in driving not only reduces the accuracy of driving operation, but also leads to insufficient oxygen and higher possibility of traffic accident. Therefore, considering the safety of life and avoiding accidents as far as possible, a detection model based on deep learning which can quickly detect smoking driving behavior is designed. In this model, convolutional neural network is used to process the input frames of the video stream captured by the camera. After the shape feature extraction, fuzzy feature processing, motion feature detection and color feature region comparison, the smokin

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He, Fangcheng. "Intelligent Video Surveillance Technology in Intelligent Transportation." Journal of Advanced Transportation 2020 (November 12, 2020): 1–10. http://dx.doi.org/10.1155/2020/8891449.

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Along with the strength of the country’s overall strength, the people’s pockets have become more and more popular, and there have been significant improvements in all aspects of life, especially in terms of travel methods. This reflects the increase in residents’ income, but it also brings huge traffic pressure. In the long run, traffic congestion is not only detrimental to urban development, but frequent traffic accidents threaten residents’ travel safety. Effective monitoring methods are essential to solving these problems, so it is necessary to carry out research on intelligent video monito

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Putri, Fakhriyah, Sasana Putra, and Muhammad Karami. "Gap Acceptance Review Of Traffic Conflic In The Road Of Raden Ajeng Kartini." Jurnal Rekayasa Sipil dan Desain 9, no. 1 (2021): 87–92. https://doi.org/10.23960/jrsdd.v9i1.1670.

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The behavior of drivers who do not consider the movements of other drivers can cause traffic problems, such as congestion and traffic accidents that can occur on the road. The stagger intersection at Jalan Raden Ajeng Kartini is often crowded with vehicles that can cause congestion. This is due to the behavior of drivers crossing from Cut Nyak Dien road to Lindu road, causing a conflict of delays influenced by weaving movements. The purpose of this research is to analyze the amount of delay due to weaving motion on the Raden Ajeng Kartini road.This study uses an analysis of the gap acceptance

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Nguyen The, Cuong, and Dmitry Shashev. "Methods and Algorithms for Detecting Objects in Video Files." MATEC Web of Conferences 155 (2018): 01016. http://dx.doi.org/10.1051/matecconf/201815501016.

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Video files are files that store motion pictures and sounds like in real life. In today's world, the need for automated processing of information in video files is increasing. Automated processing of information has a wide range of application including office/home surveillance cameras, traffic control, sports applications, remote object detection, and others. In particular, detection and tracking of object movement in video file plays an important role. This article describes the methods of detecting objects in video files. Today, this problem in the field of computer vision is being studied

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N. Sravani, Varala Vikas, Kathi Kalyan, Banothu Nagaraju, and Rangisetti Adithya. "INTELLIGENT ACCIDENT ALERT SYSTEM USING AI FOR TRAFFIC SURVEILLANCE VIDEOS." International Journal of Engineering Research and Science & Technology 20, no. 2 (2024): 1306–14. https://doi.org/10.62643/ijerst.2024.v20.i2.pp1306-1314.

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Accident detection from CCTV footage is a vital advancement in computer vision, contributing significantly to public safety. Road and public area accidents can have serious consequences, making timely detection crucial for rapid emergency response and potential life-saving interventions. Traditional detection systems primarily relied on motion detection algorithms and predefined rules to identify incidents. These systems triggered alarms when unusual activity was detected, but they were often prone to false positives and lacked the ability to differentiate between different types of incidents

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Tharanathan, Anand, and Patricia R. DeLucia. "Detecting the Deceleration of a Lead Car during Active Control of Virtual Self Motion." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 24 (2007): 1522–25. http://dx.doi.org/10.1177/154193120705102402.

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Twenty-five percent of traffic accidents involve rear-end collisions. One important factor that may contribute to such collisions is a driver's ability to detect the deceleration of a lead car. Prior studies of deceleration judgments involved passive viewing rather than active control of self motion. The primary purpose of this study was to measure effects of headway and deceleration rate on the detection of deceleration during (simulated) active control. We investigated whether the pattern of such effects was similar to those we reported previously for passive viewing. Consistent with our pre

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Joshi, Kalpesh. "Power Generation using Speed Breakers and Potholes Detection." International Journal for Research in Applied Science and Engineering Technology 12, no. 6 (2024): 723–28. http://dx.doi.org/10.22214/ijraset.2024.63014.

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Abstract: A large amount of energy is wasted by the vehicles on roads when they apply heavy breaks on speed breakers. This happens due to friction and a high level of energy is produced. Energy can be extracted from the vehicles speed and weight. Another major issue is of major accidents caused by potholes on Indian roads. It is really important to identify these potholes and notify the driver about them to avoid these fatal accidents. Our project is an attempt to solve both these issues an effective, innovative and feasible manner. The domains in our project are energy generation/conservation

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Lecoublet, Brieg, Yvan Petit, Eric Wagnac, Dominic Boisclair, and Pierre-Jean Arnoux. "Neck Braces and Driving Posture Affect Neck Mobility on Powered Two-Wheelers." Promet - Traffic&Transportation 33, no. 3 (2021): 337–45. http://dx.doi.org/10.7307/ptt.v33i3.3687.

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Cervical spine injuries are a major concern for motorcyclists in traffic accidents and racing competitions. Neck braces aim to prevent cervical spine injuries during accidents by reducing the neck range of motion, and keeping it under physiological limits. This work aims to evaluate the ability of neck braces to reduce neck mobility for two driving postures associated with PTW configurations. The neck mobility of twelve volunteer subjects testing four neck braces on two powered two-wheelers (scooter and racing motorbike) is measured using an optoelectronic motion capture system. With the teste

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Tang, Ming, and Adekunle Adebisi. "Using Eye-Tracking for Traffic Control Signage Design at Highway Work Zone." Interdisciplinary Journal of Signage and Wayfinding 6, no. 2 (2022): 43–54. http://dx.doi.org/10.15763/issn.2470-9670.2022.v6.i2.a120.

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 This paper discusses the application of Eye Tracking (ET) technologies for researchers to understand a driver’s perception of signage at the highway work zone. Combining ET within a screen-based motion pictures and a driving simulator, the team developed an analytical method that allowed designers to evaluate signage design. Two experiments were set up to investigate how signage design might affect a driver’s visual attention and interaction under various environmental complexities and glare conditions. The study explores the visual perception related to several spatial features, includ

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Saraiev, O. V., and S. V. Danez. "Methods for Investigating Road Traffic Accidents Using Modern Automated Means." Science & Technique 18, no. 3 (2019): 256–64. http://dx.doi.org/10.21122/2227-1031-2019-18-3-256-264.

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The paper presents investigation methods which are aimed at increasing an accuracy in determination of parameters for movement of vehicles in the reconstruction process of road traffic accidents. The problems with a target to improve a method for calculation of vehicle movement speed and location coordinates at different time moments have been solved in the paper. In order to determine more accurately nature of vehicle damage and their location on carriageway, a laser scanning method has been applied which makes it possible to reduce an error while determining dimensions and distances, and to

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Wu, Yuezhou, Changjiang Liu, Shiyong Lan, and Menglong Yang. "3D Road Scene Monitoring Based on Real-Time Panorama." Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/403126.

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Road monitoring helps to control the regional traffic situation so as to adjust the traffic flow. Real-time panorama is conducive to timely treat traffic accidents and to greatly improve traffic capacity. This paper designs a 3D road scene monitoring framework based on real-time panorama. The system is the combination of large scale panorama, satellite map textures, and 3D scene model, in which users can ramble freely. This paper has the following contributions. Firstly, land-points were extracted followed by motion detection, then comotion algorithm was applied to land-points from adjacent ca

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Mounasri, Mrs, V. Ujwala, and R. Gowthami. "Motion Pattern Classification on Online/Active Data-Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 1013–16. http://dx.doi.org/10.22214/ijraset.2022.45338.

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Abstract: Ship behaviour recognition and prediction is very important for the early warning of risky behaviour, identifying potential ship collision, improving maritime traffic efficiency etc., and thus is a very active topic in the intelligent maritime navigation community. The high flow of vessel traffic affects the difficulty of monitoring vessel in the middle of the sea because of limited human visibility, occurrence of vessel accidents at the sea and other illegal activities that illustrate abnormal vessel behaviour such as oil bunkering, piracy, illegal fishing and other crimes that will

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Meena, K., C. Amuthadevi, and G. Sai Kumar. "Internet of Things based Accident Prevention and Detection System." International Journal of Engineering & Technology 7, no. 2.4 (2018): 85. http://dx.doi.org/10.14419/ijet.v7i2.4.11171.

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Recent growth in technology makes our life faster and easier. This development in technologies leads to enhance the traffic hazards. In this paper, Internet of Things based accident prevention and detection system is proposed to deduce accidents and save human life. The vehicle performance has been continuously monitored for safety purposes. This technique is annoying to maintain speed balance to avoid accident and provide safety to the driver. Hence, a novel approach is proposed to avoid accidents and save the victims while accidents occur. Sensors are exploited to give alarm 'ON' when distan

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Zou, Ying, Dahu Wang, and Leian Liu. "Research on Human Movement Target Recognition Algorithm in Complex Traffic Environment." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 05 (2019): 2050012. http://dx.doi.org/10.1142/s0218001420500123.

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With the increase in the total population of the society and the continuous increase in the number of trips, the traffic pressures faced by people are increasing. With the development and advancement of computer technology, the emergence of intelligent transportation provides a better way to solve the problem of effectively alleviating traffic pressure and reducing the incidence of traffic accidents. In recent years, intelligent traffic monitoring system, as one of the important branches in the field of intelligent transportation, has also received more and more attention. Among them, video-ba

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Balios, Petros, Philotas Kyriakidis, Stelios Zimeras, Petros S. Bithas, and Lambros Sarakis. "Motion Shield: An Automatic Notifications System for Vehicular Communications." Sensors 22, no. 6 (2022): 2419. http://dx.doi.org/10.3390/s22062419.

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Motion Shield is an automatic crash notification system that uses a mobile phone to generate automatic alerts related to the safety of a user when the user is boarding a means of transportation. The objective of Motion Shield is to improve road safety by considering a moving vehicle’s risk, estimating the probability of an emergency, and assessing the likelihood of an accident. The system, using multiple sources of external information, the mobile phone sensors’ readings, geolocated information, weather data, and historical evidence of traffic accidents, processes a plethora of parameters in o

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Okaishi, Wahban Al, Abdelmoghit Zaarane, Ibtissam Slimani, Issam Atouf, and Mohamed Benrabh. "A Vehicular Queue Length Measurement System in Real-Time Based on SSD Network." Transport and Telecommunication Journal 22, no. 1 (2021): 29–38. http://dx.doi.org/10.2478/ttj-2021-0003.

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Abstract Vehicular queue length measurement is an important parameter to detect the traffic congestion, which is resulted from several issues such as traffic lights, accidents, and poor roads infrastructures. In this paper, a system in real-time is proposed to detect and measure the vehicular queue length at intersections. The proposed system consists of two main steps: the first step is the detection of queue by using frames differencing method to detect the motion in the target areas. If there is no a motion, then the second step is implemented to detect the vehicles in these areas by using

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Syaputra, Eko Maulana, and Tayong Siti Nurbaeti. "Sosialisasi Keselamatan Berkendara (Safety Riding) pada Anak TK Mutiara DWP Indramayu." Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat 2, no. 2 (2021): 85–94. http://dx.doi.org/10.31943/abdi.v2i2.29.

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Abstrak Berdasarkan data Polres Indramayu pada tahun 2018 terdapat 107.968 kasus kecelakaan lalu lintas, dimana terdapat 29.083 korban meninggal dunia. Serta terdapat 16% (2.546) korban kecelakaan lalu lintas usia 0-4 tahun. Tingginya kecelakaan lalu lintas terjadi karena masih rendahnya tingkat pengetahuan orang tua dalam aspek keselamatan berkendara. Sebagian besar orang tua siswa dalam mengantarkan maupun menjemput anaknya dari sekolah tidak menggunakan helm pada anaknya, karena orang tua beranggapan kewajiban penggunaan helm dan keselamatan berkendara lainnya hanya untuk orang dewasa

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Wang, Yuning, Shuocheng Yang, Jinhao Li, Shaobing Xu, and Jianqiang Wang. "An Emergency Driving Intervention System Designed for Driver Disability Scenarios Based on Emergency Risk Field." International Journal of Environmental Research and Public Health 20, no. 3 (2023): 2278. http://dx.doi.org/10.3390/ijerph20032278.

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Driver disability has become an increasing factor leading to traffic accidents, especially for commercial vehicle drivers who endure high mental and physical pressure because of long periods of work. Once driver disability occurs, e.g., heart disease or heat stroke, the loss of driving control may lead to serious traffic incidents and public damage. This paper proposes a novel driving intervention system for autonomous danger avoidance under driver disability conditions, including a quantitative risk assessment module named the Emergency Safety Field (ESF) and a motion-planning module. The ESF

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Chen, Ju-Chin, Chien-Yi Lee, Peng-Yu Huang, and Cheng-Rong Lin. "Driver Behavior Analysis via Two-Stream Deep Convolutional Neural Network." Applied Sciences 10, no. 6 (2020): 1908. http://dx.doi.org/10.3390/app10061908.

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According to the World Health Organization global status report on road safety, traffic accidents are the eighth leading cause of death in the world, and nearly one-fifth of the traffic accidents were cause by driver distractions. Inspired by the famous two-stream convolutional neural network (CNN) model, we propose a driver behavior analysis system using one spatial stream ConvNet to extract the spatial features and one temporal stream ConvNet to capture the driver’s motion information. Instead of using three-dimensional (3D) ConvNet, which would suffer from large parameters and the lack of a

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Meer, Jaffar Hussian, Sukhdeep Singh, and Komalpreet Singh. "Road Accidental Analysis and Identify the Black Spot." Volume 5 - 2020, Issue 8 - August 5, no. 8 (2020): 871–76. http://dx.doi.org/10.38124/ijisrt20aug606.

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The increase in motor vehicles accompanied with expansion of roads has brought with it the challenge of addressing the adverse influence of road traffic accidents. Road incidents are a nationwide cataclysm with ever increasing trend which incurs a human health and development challenge and highly affect the human capital development of every nation. A mortality rate database (WHO, 2002) assures that India has highest number of accidents. Accident Black Spots are those locations on the road which have higher severity of accident either in terms of numbers or in terms of injuries. In this paper,

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Khatri, Anshu, and Mathi Senthilkumar. "Lane clearance approach for emergency vehicles in highways network." PLOS ONE 17, no. 11 (2022): e0276988. http://dx.doi.org/10.1371/journal.pone.0276988.

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The steady rise in the number of vehicles in modern urban areas and poor conformance to traffic laws (or rules) lead to avoidable commute delays and traffic jams. Also, there is an increased likelihood of road accidents requiring immediate medical attention. Emergency vehicle (EV) service is adversely affected due to the unavailability of the clear lane that supports EVs to get to their endpoint without being delayed along the national highways. Moreover, the EV’s sirens have a limited range, which may fail to reach and notify other vehicular traffic about its mobility promptly. In addition to

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Zhou, Zhaoming, and Hui Li. "Vehicle Object Detection Based on Deep Learning." Academic Journal of Science and Technology 5, no. 1 (2023): 38–45. http://dx.doi.org/10.54097/ajst.v5i1.5302.

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With the continuous improvement of science and technology and living standards, cars have become a necessary means of transportation for people to travel, which is bound to be followed by traffic accidents, so it is particularly necessary to detect or identify cars. Aiming at the above problems, this paper focuses on the application of deep learning in vehicle recognition problems, and is committed to finding a vehicle recognition algorithm with high recognition rate and stability. This paper focuses on the analysis of SSD algorithm and its basic theory convolutional neural network. Finally, t

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