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61 articles for “Intelligent traffic management”
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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
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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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Smart Traffic Management Systems: A Comprehensive Review of Existing Solutions
Abstract: In our nation today, when the number of automobiles keeps growing faster than the resources at our disposal, managing this problem is getting harder, and things get worse when accidents happen. Numerous facets of society are impacted by this issue, such as time wasted, health problems, pollution, traffic accidents, and economic progress. According to this paradigm, individuals can rely on traffic control technologies to reduce traffic and its consequences. We …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 27–32 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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Travel-Time Prediction: A Short Survey
Abstract: AbstractTravel-time information could be applied in various fields and its purpose is to improve the reliability and service quality. From the traveler’s point of view, the travel-time information helps to save the time and improve reliability through the selection of travel routes pre-trip and en-route. One way to accomplish this is to provide driver or passenger with current traffic information throughout their trip. In the application of logistics, travel-time information …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 3, 2017 · pp. 13–19 Read article
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The Future of Electronic Communication Systems in the Digital Age
Abstract: Electronic communication networks underpin modern society, offering seamless interaction across geographical, social, and economic borders. These systems are transforming into faster, more reliable, and smarter ones as digital technologies improve. This article discusses the future of Electronic Communication Systems in the context of 5G Technology, IoT, AI, and Quantum Communication. These technologies should revolutionise data transfer by increasing capacity, lowering latency, and enabling real-time communication across platforms. Due to need …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 39–48 Read article
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article
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A Comprehensive Review of Deep Compressive Sensing for Efficient IoT Data Management
Abstract: The Internet of Things has revolutionized data-driven ecosystems and offers advanced services, such as live monitoring and automation in various domains: smart cities, healthcare, and industrial automation. However, with the exponential growth of IoT devices, comes a large amount of data generation, which poses considerable problems like network congestion, latency, and energy inefficiency. Compressive sensing (CS), one of the newest signal processing methodologies, has emerged as an enabler to meet …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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IOT- Based Smart Transportation Management System
Abstract: Rapid urbanisation has created a situation in which traffic congestion has become one of the major problems affecting many aspects such as, mobility, safety and environmental quality. The solution for traffic management problems is a smart transportation management system (STMS) based on the Internet of Things (IoT) concept. This framework will improve the efficiency of traffic management with real time monitoring and control of traffic. The proposed system will consist …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Traffic Control Management System using IOT
Abstract: Energy is the major concern worldwide; it is our prior responsibility & liability to save energy effectively. With the development of technology, where automation system plays a vital role in daily life experience and also it is being preferred over the traditional manual system today. The main purpose of this project is to invent an intelligent system which can make decisions for luminous control (ON/OFF/DIM) considering the light intensity. Here …
Published in Journal of Production Research & Management · Vol. 10, Issue 3, 2020 · pp. 34–38 Read article
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AccuPark: Intelligent Parking Using Wheel Detection
Abstract: Nowadays Due to rapid urbanization and the increasing number of vehicles in India, major traffic problems have emerged in cities. The lack of parking spots is one of the main causes. Even when parking spaces are available, they are often not properly managed. Additionally, improper and unorganized parking by individuals leads to inefficient use of available space, further worsening traffic congestion as people tend to park their vehicles anywhere. This …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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A Study on the Use of AI and Sensors in Aerospace
Abstract: The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy. The examination of the critical role these technologies play throughout the whole aerospace lifecycle from design and production to flight operations and maintenance is examined in this research. The eyes and ears of contemporary aircraft, sensors give an unparalleled amount and quality of real-time data about …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–34 Read article
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IoT-based Ingenious Parking Management System
Abstract: With the increasing urban population and people purchasing more and more vehicles, parking is one of the most faced problems in almost all public places. Undoubtedly, people commuting by means of public transport spend hours together due to traffic and end up getting late to reach their places of interest. On the flip side, the time spent by people who travel in their own vehicles, to find a parking for …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 32–40 Read article
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Autonomous Delivery Drone or Vehicle Fleet Managerial System
Abstract: This review presents a clear conceptual framework for an autonomous delivery drone / vehicle fleet managerial system, emphasizing Artificial Intelligence (AI), Machine Learning (ML), Electrical and Electronics Engineering, and operational safety. The proposed architecture receives delivery requests, checks payload and route feasibility, assigns a suitable drone or ground vehicle, predicts travel time and energy demand, monitors missions through telemetry, and re-plans when traffic, weather, battery state, or vehicle availability changes. …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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PLC Based Smart Car Parking Barrier System
Abstract: This research paper presents an innovation of PLC-based smart car parking barrier system that is intended to improve parking management and security in urban areas. To effectively control the space efficiently & enhance the reliability of the parking system. PLCs (programmable logic controllers) are the foundation of the system, and sensors are connected to enable automated vehicle entry and exit. In this case, the up and down mechanism of barriers …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 34–38 Read article
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Artificial Intelligence Enhanced Waste Sorting and Classification System for Urban Recycling
Abstract: This study explores the potential of Artificial Intelligence (AI) and Machine Learning (ML) to enhance waste management efficiency within urban environments. Rapid urbanization has resulted in a surge of municipal waste, which current systems often struggle to manage effectively. The proposed AI-enhanced waste sorting and classification system aims to optimize waste collection routes and accurately forecast waste generation trends, thereby reducing operational costs, fuel consumption, and traffic congestion. Additionally, AI-driven …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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Revolutionizing Urban Traffic Management: An AI and Multi-Agent System Approach Leveraging IoT Technology
Abstract: Our study addresses the challenging issue of traffic congestion in modern urban areas and the limitations of traditional solutions like road expansion and network indicators. To effectively tackle traffic congestion, the study explores various strategies that analyze traffic elements, falling into the Macroscopic and Microscopic Models. However, conventional traffic modeling faces significant challenges in dealing with complex traffic systems.Artificial Intelligence (AI) techniques, including fuzzy logic, evolutionary algorithms, neural networks, and …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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Intelligent Transportation System Avoids Collision by Disseminate the Warning Messages in Vehicular Adhoc Network
Abstract: Roads overload leftovers a critical issue while they are invariably increased so as to increase their capacity and enhance their effectiveness. This can be likely to cause many troubles specified ecologically, financially and socially. The progress of urban traffic management systems, structure and development of roads are solutions to handle this problem and acquire better the performance of the road transmission, but these solutions are high-priced and also need extra …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 3, 2021 · pp. 28–38 Read article
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Intelligent Transportation System Avoids Collision by Disseminate the Warning Messages in Vehicular Ad Hoc Network
Abstract: Roads overload leftovers a critical issue while they are invariably increased so as to increase their capacity and enhance their effectiveness. This can be likely to cause many troubles specified ecologically, financially, and socially. The progress of urban traffic management systems, structure and development of roads are solutions to handle this problem and acquire better the performance of the road transmission, but these solutions are high-priced and need extra space …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 4, 2021 · pp. 28–38 Read article
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Intelligent Network Slicing and Adaptive Switching for Ultra-Low-Latency 6G Communications
Abstract: The rapid evolution of sixth-generation (6G) wireless communication networks demands intelligent and adaptive network management mechanisms capable of supporting ultra-low-latency, massive connectivity, high reliability, and heterogeneous service requirements. This study proposes an Intelligent Network Slicing and Adaptive Switching (INS-AS) framework for optimizing communication resources and minimizing end-to-end latency in 6G environments. The proposed framework dynamically creates and manages logical network slices according to application-specific requirements, including enhanced mobile broadband, ultra-reliable …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article