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31 articles for “traffic reduction”
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Safar – Sathi: A Smart Ride-Sharing Platform
Abstract: In the midst of the increased use of the internet and technology‚ people have begun to change their transportation habits․ This is why we propose Safar-Sathi: A Smart Ride-Sharing Platform‚ a smartphone-based ride-sharing platform that provides cheap‚ convenient and secure transportation services by connecting passengers and nearby drivers․ The application can be used for user registration‚ ride booking‚ real-time tracking on GPS‚ fare calculation‚ user profile building‚ ride history‚ and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 2, 2026 Read article
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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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Traffic Volume and Accidental Analysis of Blackspot Chogitti Intersection: A Quantitative and Qualitative Approach
Abstract: There is increase in number of accidents worldwide especially at accident-prone areas known as ‘Blackspots’. The specific case taken here is of Jalandhar city’s blackspot Chogitti intersection. The research intent to find out what are the reasons that contribute in formation of blackspots alongside ways to eliminate them, which forms central question/problem. There is need of this study because of alarming rate of increase of accidents, which is evident from …
Published in Journal of Open Source Developments · Vol. 7, Issue 1, 2020 · pp. 24–32 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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AI-Powered Traffic Management System
Abstract: An artificial intelligence (AI)-based traffic management system is an innovative and intelligent project for improving urban traffic control and emergency response using AI and artificial vision. With the rapid increase in vehicle numbers and urban populations, traditional traffic management systems are unable to effectively address all real-time traffic situations due to congestion, fuel consumption, and emergency deceleration. To address these limitations, this project utilizes the YOLOv8 (You Only Look Once, …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 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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FACTORS INFLUENCING SUSTAINABILITY DURING THE CONSTRUCTION PHASE OF THE SMART CITY PROJECTS
Abstract: Nowadays, urban cities of developing countries mainly India, are facing rapid urbanization that has been resulted in issues such as, gap in demand and supply of infrastructure services and utilities, increased pollution, traffic congestions, reduction in land cover, etc., thus affecting the ecology negatively in wider extent. Smart cities are recognized as a sustainable world wide solution to the above mentioned urban issues, which emerges as a means to achieve …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 2, 2018 · pp. 14–27 Read article
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Multi-Layered AI-Driven Security in Wireless Ecosystems
Abstract: The proliferation of next-generation wireless technologies, from 5G/6G networks to the pervasive Internet of Things (IoT), has birthed a hyperconnected digital ecosystem of unprecedented scale and dynamism. This interconnectedness, however, introduces a vast and volatile attack surface, rendering conventional, signature-based security paradigms fundamentally obsolete. This paper posits that the only viable defense is an offensive, self-adaptive one, predicated on the integration of artificial intelligence (AI) directly into the wireless security …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 21–28 Read article
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Minimising Round Road Trip Using Automated Traffic Navigation System
Abstract: The concept of traffic navigation without the reliance on conventional traffic signals is gaining prominence. This novel approach seeks to enhance urban vehicular movement by obviating the need for traditional signal systems. This summary delves into the multifaceted realm of signal-free traffic navigation, encompassing cutting-edge technologies like artificial intelligence, machine learning, and sensor arrays. The advantages, including congestion reduction, heightened fuel efficiency, and enhanced traffic fluidity, are expounded upon. Moreover, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 10–14 Read article
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Economical Analysis of Lime and Fly Ash Stabilized Flexible Pavements
Abstract: India is experiencing tremendous growth in infrastructure including road network and highways. Roads are to be designed with good reliability to fulfill the long-term performance during the design period. Most of the time flexible pavements in India need to be constructed on problematic subgrade soil. Such subgrades have low California bearing ratio which leads to more pavement thickness. Decrease in availability of suitable sub-base and base course materials for highway …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 36–44 Read article
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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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Effects of non-motorized vehicle on speed-density relationship of an urban intersection
Abstract: The study investigated the influence of non-motorized vehicle (NMV) in the heterogeneous traffic in terms of speed–density (v-k) relationship. The traffic of a busy intersection of Dhaka city was studied, conducted traffic survey, and modelled using VISSIM software. Three traffic scenarios, existing traffic (M1), 20% increase of NMV (M2) and 50% increase of NMV (M3) were simulated. Then, the dataset was used to model the linear v-k relationship. The v-k …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 22–29 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Data Aggregation in Wireless Multimedia Sensor Network: A Survey
Abstract: AbstractWireless Multimedia Sensor Network (WMSN) is a new, rapidly developing sensor network having scope beyond our understanding. It basically comprises sensor nodes embedded with cameras, microphones, and other sensors producing multimedia content. As the resources are limited, minimizing the volume of data traffic in sensor networks becomes critical and crucial both at the same time, in order to tackle this problem the reduction in amount of data required to be …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 6–11 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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AI-Driven Real-Time Traffic Monitoring and Intelligent Control System: A Unified Deep Learning Framework for Smart Urban Mobility Management
Abstract: Urban traffic congestion imposes staggering economic and environmental costs on modern cities, with the INRIX Global Traffic Scorecard estimating annual per-driver productivity losses exceeding $1,348 in major metropolitan areas. Conventional traffic management infrastructure—fixed-cycle signal controllers, manual surveillance, and threshold-based incident detection—is fundamentally ill-equipped to address the dynamic, non-linear complexity of contemporary urban vehicular flows. This paper introduces TrafficNet-DRL, a unified deep learning and deep reinforcement learning framework for real-time traffic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 24–33 Read article
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Optimizing Tourist Mobility with Dijkstra’s Algorithm: A Review on Pollution Reduction through Smart Path Planning
Abstract: Although Tourism helps the economy, but it can also harm the environment, especially in popular tourist destinations. Optimizing routing is one way to reduce these environmental effects. This review paper examines how the well-known and traditional Dijkstra's method for shortest path computation is used to pollution management and support sustainable tourism. The study explores how intelligent traffic routing can minimize traffic congestion in environmentally sensitive areas and lower fuel consumption …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article