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4 articles for “Traffic density estimation”
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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A Study of Environmental Pollution in Some Areas of the City of Najaf for Some Heavy Metals
Abstract: Pollution is one of the most important problems that people face at the present time, and the problem of soil pollution is the most serious, due to its relationship to human health and other organisms. Soil sample collection areas in the city of Najaf were chosen based on several factors, including traffic, industrial and urban activities, and population density. Soil samples were taken at a depth level ranging between 0-15 …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 2, 2024 · pp. 14–23 Read article
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Robust Classification of Traffic Signs Using Relief Feature Reduction Technique
Abstract: Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide. With the rise of smart mobility solutions and autonomous driving technologies, the ability to detect, classify, and respond to traffic signs accurately has become critically important, especially under diverse and adverse environmental conditions such as rain, fog, or poor lighting. Reliable traffic sign recognition not …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 30–37 Read article
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Structural Health Monitoring of Bridges using Digital Image Correlation: A Case Study
Abstract: The rapid development of the transportation section and continuous change in traffic volume, density, and loading patterns over the last few decades have increased the probability of a hazard and reduced the life of existing bridges. Structural Health Monitoring (SHM) is a process of implementing a damage detection and characterization strategy for engineering structures. This paper presents a review of various trends and technology adopted for SHM. However, it focuses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 1–10 Read article