Наука и технология в современном миреМирзаева Ширин Нодировна, Тахиров Чингиз Аъзамович +22026
FORECASTING THE RISK OF VEHICLE TRAFFIC DURING ROAD CONNECTION USING ARTIFICIAL INTELLIGENCE
USING ARTIFICIAL INTELLIGENCE
Международный журнал искусственного интеллекта · 05 · 2025
Аннотация
This paper investigates the application of Artificial Intelligence (AI) in forecasting vehicle traffic risk during road connection and construction activities. It focuses on how AI models, including machine learning and predictive analytics, can analyze historical traffic data, environmental conditions, and real-time inputs to predict potential congestion, accidents, and disruptions. The study emphasizes AI’s role in proactive traffic management, helping authorities plan safer and more efficient road connections. By identifying high-risk zones and periods, AI-driven forecasting supports strategic decision-making, minimizes delays, and enhances road user safety. The research underlines AI’s capacity to revolutionize traffic risk prediction andinfrastructure planning. Key words: Artificial Intelligence, Traffic Risk Forecasting, Road Construction, Predictive Analytics, TrafficManagement, Machine Learning. Introduction. Its safety and prompt readiness for work are improved by post-work auto storage, effective use of storage techniques and equipment, and storage organization. The car is exposed to the outside environment while it is in use, which causes its components to be loaded and undergo changes in condition, wear, heat, and chemical and physical characteristics. The automobile thus loses its functionality. The operating conditions determine the aforementioned modifications [1]. Road, traffic, transportation, environment, and seasonal circumstances are some of them. The machine may soon malfunction or become inoperable as a result of this. Changes in the technical condition of the car occur on the basis of specific laws, which are changes in the technical condition of the work. In turn, the aforementioned laws are a variety of the indicators of the road's condition or the car's technical state during operation. The car's dependability is completely described by these regulations [2, 3]. The recovery process takes place within a specific period of "failure" and its removal, as described by the third law, which connects the car's reliability. Performance, durability, repairability, and maintenance are some ofthecar's many intricate reliability indications[4,5]. Maintaining its technical state for a predetermined amount of time or while walking is referred to as operation without breakage. Longevity is the maintenance of vehicles until a certain time anduntilthecompletion of maintenance and repair work[7]. Repairability - it signifies the ease, capability, and propensity of the vehicle to inspect, control, andrectify violationsduring maintenance and repair. Conservatism - means that the car is able to maintain its technical condition during idle or during operation Depreciation. During operation, the parameters of the technical condition of vehicles change under the influence of the external environment. For example, rubber products lose their strength and elasticity due to oxidation, hot or cold temperatures, humidity, solar radiation, and thechemical action of oils, fuels, or liquids. Fats and oils are contaminated with edible products, theirviscosity deteriorates, their compounds lose their strength, and so on. As an example, there areviolations during theoperation ofDamas cars (Table 1.1). 285 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue08,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai Table5 Listoffaults of Damas cars operating in Andijanat adistanceof 0to 300thousand km Causes of disorders Degradation rates, % 1 deterioration 50,2 Plasticdeformation and erosion: 15,3 2 Including: break, cut, cut 7,1 stretch, bend,crush 8,2 Fatigue breakdown. 7,5 3. Including: 1,1 crack 2,9 Fracture 3,5 Decomposition in hot state. 5,7 4. Including: 2,1 burn, short circuit 3,5 burn out 0,1 5. others 21,3 total 100,00 Friction is the resistance that occurs between two moving parts (parts) relative to each other.The process of friction is said to eliminate the force of friction that occurs when objects move. The rate of wear of parts depends onthe work offriction, its path and friction conditions. For rotating parts, the friction path (for example, a crankshaft bearing) is found by multiplying the number of revolutions of the shaft by its circumference. For properly moving parts (such as piston rings), the friction path is determined by multiplying the number of strokes by the numberofstrokes. There are basically three types offriction: dry, liquid,and boundary friction. Cylinders, pistons and rings operate under very high loads, rotations and temperatures. The work of these parts involves boundary friction, various abrasives and corrosives, and a wear rate of 2.6 μm / 1000 km.The curvature is greater at the top of the cylinder than at the bottom, and it takes on the shape of an ellipse. Corrosion of cylinder walls occurs as a result of mechanical, molecular-mechanical and corrosion-mechanical corrosion. The main reason
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«This paper investigates the application of Artificial Intelligence (AI) in forecasting vehicle traffic risk during road connection and construction activities.»
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Демо-превьюThis paper investigates the application of Artificial Intelligence (AI) in forecasting vehicle traffic risk during road connection and construction activities. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- Тип
- Журнал
- Страна
- Узбекистан
- Ключевые слова
- Artificial Intelligence, Traffic Risk Forecasting, Road Construction, Predictive, Traffic Management, Machine Learning., Predictive Analytics
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