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13 articles for “road signals”
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 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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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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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
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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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Effect of encroaching vehicles on capacity of signalized intersections in mixed traffic conditions
Abstract: This paper estimates capacity of signalized intersections in heterogeneous traffic conditions considering the effect of encroaching vehicles. Accurate estimation of capacity of signalized intersections plays vital role in evaluating performance of whole road network. In the present paper two sets of saturation flow values are estimated separately by considering and not considering the effect of encroaching vehicles. Also, the capacity of the signalized intersections is found considering the effect of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 6, Issue 1, 2020 · pp. 1–8 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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DESIGN OF TRAFFIC SIGNAL CONTROL SYSTEM AT ORLU JUNCTION, IHIALA, ANAMBRA STATE, NIGERIA
Abstract: The vast increase in population results in number of vehicular movement which contributes to volume of traffic at road intersections. This traffic jam is much during festive periods, causing delay which has negative impact to the economy. No one can easily predict the time of journey arrival due to gridlock at intersection on highways. This inefficient traffic movement is caused by absence of traffic control systems. Hence, this study had …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 8, Issue 2, 2022 · pp. 38–49 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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Fleet Management using Smart Technology
Abstract: This report details the development of a prototype system designed to manage traffic at intersections using smart technology. The main goal of the project is to create a system capable of detecting vehicles and managing traffic signal lights in real time. In the final version, the system will use sensors installed on a device to detect vehicles and adjust traffic lights accordingly. At the prototype stage, however, the focus is …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Evaluating and Optimizing Intersection Performance in Indian Context-A Case Study
Abstract: Traffic Jams in a network of intersections and roads is an omnipresent issue that is caused by several parameters. The Panchkula City of India based on sectoral planning has lots of intersections that are a mix of both signalized and unsignalized sets. These intersections at the edge of the major land use have several traffic transition issues causing congestion. Therefore, it is essential to resort to advanced software packages to …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 7, Issue 2, 2021 · pp. 1–14 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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Comprehensive Systems Review for Accident Detection, Prevention, and Real-Time Alerting Mechanisms
Abstract: The growth of technology and infrastructure at a rapid pace has made our lives easier. The increased frequency of road accidents and possible traffic dangers brought about by newer technologies has resulted in a significant loss of life and property due to inadequate emergency facilities and preventive measures. The greatest hazard to human life is traffic accidents. High speeds combined with intoxication are the main causes of many accidents. Vehicle …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–4 Read article