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33 articles for “accident predictions”
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Comparative Analysis of Supervised Learning Algorithms for the Traffic Accident Prediction Under Rural and Urban Areas
Abstract: The features of different mechanisms for safety to traffic accidents are the biggest challenge for the automobile manufacturing industry in rural and urban areas. The objective of this work is to address the challenge of safety in traffic accidents by developing an accurate prediction model for identifying patterns in the different scenarios for preventing traffic accidents using accurate prediction. The machine learning algorithm is used to easily predict the traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 20–27 Read article
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Safe Travel: Road Accident Analysis, Severity Prediction, and Safe Route Mapping
Abstract: Road accidents pose a significant threat to public health, resulting in millions of injuries and fatalities annually. With an estimated 1.2 million lives lost and 20 to 50 million people injured each year, the escalating trend of traffic accidents demands urgent attention. To address this issue, specialists utilize advanced algorithms such as random forests to analyze historical road crash data, aiming to predict accident hotspots. By identifying patterns and trends …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 39–44 Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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Safety Issues with Tower Crane and Remedial Measures
Abstract: Tower cranes are the focus of execution on today’s typical building construction sites. Tower crane has to hoist and transport a variety of loads near and above people, under crowded conditions, occasionally with overlapping work zones, and often within time, budget, and labor constraints. This leads to the safety risk on sites that are intrinsically hazardous. This paper identifies the major factors affecting safety of tower-crane and evaluates the degree …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 2, 2014 · pp. 14–21 Read article
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Recurrent Neural Network Model for Signal Prediction in a LOCA Event
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 In this study, an artificial neural network (ANN) model with the Elman recurrent structure is developed to predict thermo-hydraulic signals in a loss of coolant accident (LOCA). In the prediction procedure, a few previous samples of a signal at the time of the accident are fed to the ANN and the output value of next time steps are estimated by the network output. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 1, Issue 2-3, 2011 Read article
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Impact of Polymer Chemistry on Population and Land Use Pattern to Identify Black Spot
Abstract: The incorporation of polymer chemistry has become more essential in the design and upkeep of roadways, greatly improving their strength, adaptability, and overall effectiveness. The use of polymers in road building mainly focuses on the alteration of bitumen (asphalt) and the creation of novel pavement materials. The roads are one of the best and most suitable modes of transport for every person in India, but in this highly populated country, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 540–548 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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Use of Intelligent Control Systems to Manage Traffic Effectively and Productively
Abstract: Intelligent control system is the advanced technology in which the collected data is provided to A.I. and with the help ofvarious methods like machine learning, neural networks, Bayesian probability, fuzzy logic the solution to a particularproblem is found.In a country’s growth the traffic management plays a great role as the maximum industries depends on the highways orroads and when it is well planned it can reduce the commute time and …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 22–27 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Enhancing Construction Safety Performance Through Artificial Intelligence: A Systematic Review
Abstract: The construction industry is still one of the most dangerous sectors globally because of its dynamic working environment, the employment of heavy machinery, and the complexity of operational processes. Traditional safety management methods are largely dependent on manual monitoring and reactive measures, which are not always effective for accident prevention. In recent years, Artificial Intelligence (AI) has been recognized as a revolutionary technology in construction safety, with capabilities such as …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 13–30 Read article
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A Comprehensive Review of Road Infrastructure Safety Measures for Reducing Traffic Accidents and Improving Sustainable Transportation
Abstract: Road traffic accidents continue to be a major public health and transportation challenge, causing significant loss of life, injuries, and economic damage worldwide. Road infrastructure is one of the most critical factors influencing traffic safety, as well-designed and properly maintained roads can substantially reduce the frequency and severity of accidents. This review paper examines the role of road infrastructure in improving road safety by analyzing existing research on highway geometric …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 1–13 Read article
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Enhancing Safety Protocols in Industrial Operations
Abstract: Industrial safety is a crucial aspect of maintaining both operational efficiency and protecting the workforce in hazardous environments. Despite significant advancements in safety technologies and regulatory frameworks, industrial accidents remain a persistent problem, often leading to severe injuries, fatalities, and financial losses. Such incidents typically arise from a combination of factors, including human error, equipment malfunctions, and insufficient safety protocols. In response to these challenges, this paper examines key strategies …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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IoT-enhanced Real-time Monitoring and Hazard Detection
Abstract: This research explores the innovative application of internet of things (IoT) technology within occupational health and safety management systems (OHSMS) to substantially improve real-time monitoring and hazard detection in industrial settings. IoT sensors and wearable devices are deployed to enable continuous and thorough collection of data on environmental conditions, equipment status, and worker health. Real-time data analysis facilitated by IoT technology allows for the rapid identification and mitigation of potential …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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Modelling Structural Damage in FPSO Collisions
Abstract: While the oil operators become more interested in developing oil and gas in deeper and more remote offshore locations, there should be further research and development that focuses on collision assessment of floating structures, especially ship-shaped floating production, storage and offloading units (FPSOs). The focus of this paper is on general methodology and design accident scenarios for FPSOs using more sophisticated tools such as the nonlinear FEM used so that …
Published in Journal of Offshore Structure and Technology · Vol. 2, Issue 3, 2015 · pp. 23–52 Read article
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Prediction of Durability of Human Hip Joint Implants by Matlab
Abstract: Hip joint of a human body is one of the important joints, failure of which causes pain and in-convenience to the routine life. The failure may be due to worn-out joint or breakage becauseof accident etc. The failed hip joint may be replaced with artificial implant. The life of implantdepends on different factors like the loads born by the joint, properties of material used etc.The present investigation is an attempt …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 7, Issue 2, 2017 · pp. 27–34 Read article
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Fire Risk Assessment and Safety Improvement Strategies in Industrial Facilities: A Comprehensive Review
Abstract: Fire incidents in industrial facilities continue to pose significant threats to human life, infrastructure, production continuity, and the environment despite continuous advancements in industrial safety practices. The increasing complexity of manufacturing processes, the widespread use of flammable materials, and the integration of automated systems have intensified the need for systematic fire risk assessment and effective safety management. This review paper examines the major sources of fire hazards in industrial environments, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 36–47 Read article
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IoT-Based Industrial Safety Management Systems
Abstract: The integration of the Internet of Things (IoT) in industrial safety management has transformed workplace safety by enabling real-time monitoring, predictive analytics, and automated hazard mitigation. IoT-Based Industrial Safety Management Systems utilize interconnected sensors, wearable devices, and intelligent analytics platforms to proactively detect and respond to potential risks in high-risk environments such as manufacturing, oil and gas, and construction. These systems continuously monitor critical safety parameters, including temperature, pressure, gas …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 18–22 Read article
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Active and Passive Automotive Safety: A Technical Review
Abstract: Safety of an automobile is one of the important areas while designing a vehicle. This paper gives an overall view of the different safety features that are taken care of while designing a vehicle. Available technologies of different active and passive safety features were analyzed. These technical features once incorporated in design not only help in avoiding the accidents but also reduce the fatigue caused to the driver which further …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 10–19 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article