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114 articles for “Road network”
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Vehicular Black Box for Indian Cars
Abstract: Abstract: This study shows that there is an increase in the interest and development of black box in vehicles. Black box is a device that can be used to mitigate road accidents and are also used in post-accident investigation in order to speed up the investigation and claim processing of insurance. Black box need to store the driving data of the vehicle such as speed, GPS coordinates, brake lights, video, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 3, 2019 · pp. 18–22 Read article
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Collision Avoidance Using Li-Fi Based Inter Vehicle Communication
Abstract: Most countries in the world have an alarming record in number of death/disability due to tremendous number of accidents. Even though road transport in India is very prevalent for various reasons, the rate of road-accidents and fatality in the country is very high. Accidents occur due to the unawareness of the public regarding the same. Researchers have observed that majority of the accidents where solely due to factors involving the …
Published in Journal Of Network security · Vol. 6, Issue 2, 2018 · pp. 22–26 Read article
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Detection of Traffic Sign Using CNN
Abstract: For past more than half of the decade, the detection and recognition of the traffic signs are an active research area; especially in the field of automation of driving that is critical for driverless driving, as there is drastic increase in road accidents due to ignorance of traffic signs and rules. This is frequently used for recognizing permanent or temporary various road signs which are displayed on the side of …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 1, 2022 · pp. 14–23 Read article
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Self-Driving Cars and Computer Vision: Enhancing Computer Vision for Autonomous Vehicle Navigation
Abstract: Autonomous vehicles, commonly known as self-driving cars, are transforming the transportation sector by aiming to enhance road safety, ease traffic congestion, and boost overall efficiency. Central to the operation of these vehicles is computer vision, which enables them to perceive and understand their environment. This paper examines how computer vision contributes to the navigation of autonomous vehicles and highlights its continuous developments. Specifically, it examines key challenges such as real-time …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 1–10 Read article
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Evaluation of the Multi-Criteria Approach on Rail Route Planning
Abstract: A Geographic Information System (GIS) includes of a hardware and software which are used for purposes such as to capture, store, evaluate, administer and distribute spatial data. GIS has a vast array of spatial analysis tools such as GIS viewer, Geodatabase, mapping tools, modelling tools etc. At present GIS is broadly used in conjunction with multi criteria decision analysis method to perform infrastructure studies and transportation studies such as road …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 3, 2021 · pp. 1–8 Read article
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Minimization Technique of Pollution and Traffic Using IOT: A Review
Abstract: With the evolving technology, the level of pollution is increasing day by day and even faster whether it is of any type. As more cars have been driving on the road, pollution levels have risen. The emanations at the crossing points have raised, due to which the people living thereby truly get effected by this. This brings the Web of Things into action (IOT) for solving this problem by using …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 30–34 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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A Real-time Automated Drowsiness Detection of Driver Using the Visual Behaviour and Machine Learning Technique Through WebCam
Abstract: In our day-to-day life, many accidents can occur due to the drowsiness of the driver. It is one of the causes of road accidents. To prevent accidents, we proposed a system to detect the drowsiness of driver by measuring the eye aspect ratio, mouth yawning and alert the driver. It will save the life of a person. In this, the driver fatigue is continuously captured by webcam. Image processing methods …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 10–19 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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Ecomotion Cityglide Commuter E-Bike
Abstract: The transition from conventional gasoline motorcycles to electric bikes represents a pivotal step in addressing the increasing demand for sustainable transportation solutions in urban environments. This paper meticulously explores the multifaceted aspects of this transition, focusing on the technological advancements, design innovations, and societal implications associated with the adoption of electric bikes. Electric bikes, powered by Brushless DC (BLDC) motors and rechargeable battery packs, offer a suite of benefits over …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 43–49 Read article
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A Decentralized Web Application for Parking Spot Booking and Listing: Improving Convenience and Efficiency in Urban Areas
Abstract: Finding a parking spot is becoming a frustrating task, especially during busy hours and with the increasing number of vehicles on the road. In the existing system, people have to manually drive and search for any vacant parking spot and if any spot is not available, they end up parking in the wrong zone. Not only is the time and fuel wasted on this task, but many people also end …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 1, 2023 · pp. 7–16 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article