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8 articles for “congestion reduction”
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article
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Low Emissions Zone: An Approach to Reduce Carbon Emissions in Sensitive and Congested Urban Areas
Abstract: The paper develops a detail study on how to reduce carbon emissions in sensitive and congested urban areas where people are especially affected by GHG pollution. The study focuses on the analysis of traffic restrictions to private and public vehicles which does not fulfil specific conditions for entering the so called “Low Emissions Zone” (LEZ). The article uses a simulation to reproduce current driving in modern cities and how the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 1, 2024 · pp. 8–24 Read article
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Smart Tracks: Navigating Urban Transit with IoT-enabled Bus Networks
Abstract: Public transportation is a lifeline for countless individuals globally, providing essential connectivity for daily commutes to work and school. However, numerous challenges such as bus delays and inefficient space on the buses often hinder the travel experience. It's crucial to resolve these issues to achieve an efficient public transport system. A promising solution lies in the adoption of an IoT-based application. With this technology, one can track the real-time location …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 1–8 Read article
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Application of Game Theory Principles for Opportunistic Routing in MANETS
Abstract: This article explores the application of game theory principles to enhance opportunistic routing in mobile ad hoc networks (MANETs). MANETs are characterized by their dynamic topology, limited resources, and lack of infrastructure, making traditional routing protocols less efficient. Opportunistic routing leverages the mobility of nodes and the broadcast nature of wireless communication to achieve reliable message delivery. However, existing opportunistic routing algorithms may suffer from challenges such as high message …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Metro Systems' Role in Reducing CO2 Emissions in Urban Transport
Abstract: To better understand the impact of metro systems on reducing CO2 emissions in urban transport, a detailed analysis is required. This analysis should evaluate both the direct and broader effects of metro networks on the overall urban transportation system. It is crucial to quantify the actual contribution of metro systems in cutting CO2 emissions by considering the entire transport network. The evaluation should include not only the emissions generated by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 19–22 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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The Study of Nutritional Requirements and Physiological Changes in Space Station
Abstract: This article focuses on the impact of physiological adaptations to weightlessness on nutrient and food requirements in space. These modifications entail reductions in body water and plasma volume, which affect the cardiovascular and renal systems. Spaceflight poses intricate and predominantly detrimental effects on the human body, spanning both short and long durations. Long-term weightlessness leads to significant issues like muscle atrophy, skeletal deterioration, cardiovascular function deceleration, reduced red blood cell …
Published in International Journal of Nutritions · Vol. 1, Issue 2, 2024 · pp. 7–10 Read article