All articles
30 articles
-
Modelling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Transportation Engineering and Traffic System Read article
-
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
-
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
-
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
-
Traffic Safety in Indore: Analysis of Accident Trends, Causes, and Preventive Measures
Abstract: Abstract Traffic safety has emerged as a significant concern in rapidly growing urban cities like Indore due to increasing population, rising vehicle ownership, and expanding infrastructure. This study focuses on analyzing traffic safety conditions in Indore by examining accident trends, major causes, high-risk zones, and existing safety measures over the period from 2020 to 2026. The analysis reveals a continuous increase in road accidents and fatalities, indicating a growing risk …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 18–25 Read article
-
A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Abstract: Traffic jam and safety at the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It is capable of identifying and differentiating the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
Fast Lanes by Design: Quantifying RFID Electronic Tolling Impacts on Plaza Halt Times in Highway
Abstract: Abstract—Rapid urban growth and the steady rise in the number of vehicles have made congestion at highway toll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ time but also increase fuel consumption, air pollution, and overall operating costs of the transport system. Traditional manual toll collection methods contribute significantly to these delays, as vehicles are required to stop for cash or card-based transactions. …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
Fast Lanes by Design: Quantifying RFIDElectronic Tolling Impacts on Plaza HaltTimes in Highway
Abstract: Abstract Rapid urban growth and the steady rise in the number of vehicles have made congestion at highwaytoll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ timebut also increase fuel consumption, air pollution, and overall operating costs of the transport system.Traditional manual toll collection methods contribute significantly to these delays, as vehicles arerequired to stop for cash or card-based transactions. To address these …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
-
Fast Lanes by Design: Quantifying RFID Electronic Tolling Impacts on Plaza Halt Times in Highway
Abstract: Abstract—Rapid urban growth and the steady rise in the number of vehicles have made congestion at highway toll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ time but also increase fuel consumption, air pollution, and overall operating costs of the transport system. Traditional manual toll collection methods contribute significantly to these delays, as vehicles are required to stop for cash or card-based transactions. …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
-
Influence of Road Geometry and Traffic Characteristics on Highway Crash Frequencies under Heterogenous Traffic Conditions
Abstract: Abstract This study aims at modeling the influence of highway geometric and traffic characteristics on road crash frequency under heterogenous traffic conditions using the Negative Binomial regression technique. Over a span of three years, data from 618 road accidents on the Dhaka–Aricha highway (N5) in Bangladesh were analyzed to develop the model.. The model variables include Annual Average Daily Traffic (AADT), % of heavy vehicle and non-motorised vehicles (NMV), pavement …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 25–34 Read article
-
Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
-
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
-
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
-
NEXT-GENERATION TRAFFIC OPTIMIZATION SYSTEM
Abstract: Abstract- Traffic lights at intersections automatically adjust based on the flow of traffic. Reinforcement learning enables continuous learning and optimization for more effective traffic control. Traffic lights are dynamically adjusted thanks to sensors that collect real-time data on the number of cars. By predicting the condition of the roads, predictive analytics helps avoid traffic jams. reduces stop-and-go traffic, which in turn reduces fuel consumption and pollution. A scalable system designed …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
-
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
-
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
-
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
-
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