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31 articles for “Congestion Management”
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A Survey on Recent Progress in Transmission Congestion Management
Abstract: After deregulating their electrical sectors recently, a number of nations, including Chile, Peru, the United States, the United Kingdom, the European Union, Canada, Colombia, New Zealand, Scandinavia, and Australia, replaced their once-monolithic public utilities with competitive power markets. The electricity industry has been changing around the world over the last few decades, and as a result, network congestion is unavoidable. Market failure, transmission capacity limitations violations, and excessive energy prices, …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 14–29 Read article
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Evaluating the Impact of Intelligent Traffic Management Systems on Urban Congestion and Emission Levels
Abstract: AbstractUrban congestion and vehicle emissions represent critical challenges in densely populated citiesworldwide, posing risks to both travel efficiency and environmental health. As urbanizationintensifies, traditional traffic management approaches often fall short of alleviating congestion,resulting in longer commute times, increased fuel consumption, and higher pollutant emissions. Thisstudy evaluates the effectiveness of Intelligent Traffic Management Systems (ITMS), an advancedapproach leveraging adaptive traffic control technologies, in reducing both congestion and emissions.Through a combination of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 15–19 Read article
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Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT
Abstract: Abstract - Pune, one of India’s fastest-growing metropolitan cities, faces severe traffic congestion due to rapid urbanization, increasing vehicular density, and inadequate transport infrastructure. This research paper explores the challenges associated with traffic management in Pune and evaluates existing solutions implemented by local authorities. Through case studies of critical traffic zones such as Katraj, Nal Stop, Warje, and Hadapsar Road, we identify key congestion factors, including poor road design, improper …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 19–24 Read article
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TRAFFIC CONTROL SYSTEM: CASE STUDY OF BALEWADI HIGH STREET SIGNAL
Abstract: Abstract— The increasing demand for efficient traffic management in urban areas is crucial for enhancing safety, reducing congestion, and improving overall mobility. This study focuses on the design and implementation of an intelligent traffic control system at two critical intersections in Pune: Balewadi High Street Bridge and Lt. Baburao Habaji Saykar Chowk. The study identifies key traffic flow issues, including congestion, delay, and poor intersection geometry, and proposes the use …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 8–13 Read article
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AI-Powered Traffic Management: Enhancing Urban Mobility and Efficiency
Abstract: AbstractUrban traffic congestion is a persistent challenge, resulting in economic setbacks, extended traveldurations, excessive fuel consumption, and environmental harm. The rapid urbanization and increasingnumber of vehicles have intensified this issue, highlighting the need for smarter and more efficienttraffic management solutions. With advancements in artificial intelligence (AI), innovative trafficcontrol strategies can be implemented to optimize urban mobility and alleviate congestion. This paperexplores AI-driven traffic management solutions, focusing on machine learning-based adaptive …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 32–36 Read article
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IMPACT OF REAL ESTATE AND LAND DEVELOPMENT DUE TO IMPROVEMENT OF TRANSPORTATION–CASE STUDY OF PALLAVARAM- THORAIPAKKAM RADIAL ROAD
Abstract: The relationship between economic development, transportation, and land prices is explored in this research, with a focus on the micro market of Pallavaram in Chennai. The research analyzes data from before and after the development of the Pallavaram Thoraipakkam Road (PTR) to examine its impact on land prices and real estate development. Although land prices have increased, transportation-related issues such as congestion, poortraffic management, and missing road links persist. The …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 9, Issue 1, 2023 · pp. 87–103 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Importance of Traffic and Transportation Plan in the Context of Land Use Planning for Indian Cities
Abstract: Traffic congestion is one of the important issues in developing cities and it depends on the change in land use. Regulation of zoning and land use play as major role to mitigate the traffic congestion. Integration of Land use and transport system is one of the good solution to manage the traffic congestion is developing cities. In the past decades, Urban sprawl has resulted in to loss of high quality …
Published in International Journal of Town Planning and Management · Vol. 6, Issue 2, 2020 · pp. 10–15 Read article
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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Parking Management Plan for Old Washermanpet, Chennai, India
Abstract: This project is to avoid congestion in the parking area by implementing a parking management system. Mainly in Public places such as market areas, hospitals, function-halls, offices, shopping malls, and Commercial hotspot areas. Old Washermanpet is a very busy commercial shopping area, comprising of various shopping complexes of electronic goods, household goods, clothes, jewelry, etc. Due to the non-availability of a specific parking area, they keep their vehicles along the …
Published in International Journal of Town Planning and Management · Vol. 6, Issue 2, 2020 · pp. 51–56 Read article
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Parking Management in Urban Areas: A Case Study of Vadodara City
Abstract: The Indian cities are developing and spreading rapidly. The parking issue has become a major planning problem in urban areas of major cities because of rapid economical and vehicle population growth. It is stated that population growth and increasing living standards of people are responsible for the risein the city’s vehicular population. Affordable prices and subsidized parking fees are leading people to refer private vehicle over public transit as their …
Published in International Journal of Housing and Human Settlement Planning · Vol. 8, Issue 2, 2022 · pp. 45–53 Read article
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Hydraulic Traffic Reduction Mechanism
Abstract: AbstractUrbanization and the surge in vehicle ownership have led to escalating traffic congestion, particularlyin densely populated metropolitan regions. Conventional traffic management systems, which depend onfixed lane structures and pre-set signal timings, often struggle to accommodate the increasing andunpredictable nature of traffic flow. This challenge necessitates the development of adaptive andintelligent traffic management solutions that can dynamically adjust to real-time conditions. A novelapproach to mitigating traffic congestion is the Hydraulic Traffic …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 18–23 Read article
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Predicting Traffic Congestion in Mumbai Using Artificial Intelligence
Abstract: Abstract — Mumbai's ongoing traffic problems are brought on by the city's fast urbanization, population expansion, and growing reliance on private automobiles. The majority of traffic management technologies in use today are reactive, frequently reacting only after congestion has already arisen. Using information from a variety of sources, such as commuter surveys, weather reports, and traffic incident logs, this study explores the application of artificial intelligence (AI) and machine learning …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 2, 2026 Read article
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A survey- Congestion Evasion in MANETs
Abstract: The paper addresses the RED active queue management technique used in most of the networks for managing the queue efficiently. Secondly it proposed a Gaussian (G-RED) and modified Gaussian function based RED (MG-RED) algorithm. It is presented that the Gaussian and modified Gaussian function based RED algorithm outperforms the traditional RED algorithm in terms of throughput, packet delivery fraction and number of packets dropped
Published in International Journal of Broadband Cellular Communication · Vol. 2, Issue 2, 2016 · pp. 1–7 Read article
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Developmental Impact due to the presence of wholesale Market at Koyembedu
Abstract: Urban marketplace (also commonly known as the bazaar, traditional market, public market, etc.) has been recognized in published works as an important economic and cultural place for a city. It has its major wholesale trading activities located in the heart of the city. On-street parking of goods traffic as well as loading and unloading operations has severely affected operational efficiency of traffic and transportation especially in the CBD area. This …
Published in International Journal of Landscape Planning and Architecture · Vol. 9, Issue 2, 2023 · pp. 1–11 Read article
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Smart City Parking: Using AI, IoT, and Cloud for Real-Time Space Management
Abstract: Limited parking places and ineffective management make parking in crowded cities frequently frustrating. Congestion and time loss result from traditional parking systems' lack of real-time updates. We suggest a smart parking system that uses Firebase, a real-time database that guarantees real-time updates, to address this. A smartphone app and sophisticated sensors placed in parking spots make up our solution. Users can use the app to determine parking availability in real …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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INTELLIGENT ON-STREET PARKING SYSTEM AND GUIDELINES FOR COMMERCIAL AREAS IN PURASAIWAKKAM, CHENNAI
Abstract: Due to global urbanization, metropolitan cities are facing more major problems, especially with respect to parking management. Increase in population in metropolitan cities increases the use of private transportation. Due to increase in vehicular traffic, there is a constant imbalance between parking demand and parking supply. The traditional parking management system consumes a lot of time spent in looking for a parking space in a busy area. The parking problem …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 6, Issue 2, 2020 · pp. 30–35 Read article