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214 articles for “Traffic network”
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Review of Simulation Techniques for Microscopic Mobility of Pedestrian Movement
Abstract: Simulation techniques are very useful for developing models or systems over time torepresent the real-world scenarios. The model represents the key characteristics orbehaviors/functions of the selected physical or abstract system or process. Simulationtechniques are useful when the real system cannot be engaged, because of inaccessibility,or dangerous or is unacceptable to engage or does not exist. Microscopic characteristicsof pedestrian traffic consider speeds, walking directions, distances between pedestrians,relative positions, passing behavior and …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 27–45 Read article
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Novel Perspectives in Future of Wi-Fi: Trends, Applications and Research Challenges
Abstract: Wi-Fi has changed connectivity in America inside and out. Wi-Fi interfaces us to the internet so we can direct business, find loved ones, do schoolwork, get a clinical diagnosis, stream our number one shows, and substantially more. It's likewise a basic tool for factories, clinics, retail locations, and transportation centers the nation over. We are using the wireless transmissions that permit Wi-Fi to travel like never before previously. As our …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 2, 2022 · pp. 15–19 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Genetic Algorithm Based Optimized QoS Routing in MANET
Abstract: Ad hoc wireless network may be a dynamic multi-hop network, which is established by an assembly of mobile nodes on a shared wireless channel. Mobile ad hoc network (MANET) is a collection of independent nodes that communicate with each other by forming a multi hop radio network. The design and analysis of routing protocols is a crucial issue in dynamic networks such as packet radio and ad-hoc wireless networks. While …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 1, 2022 · pp. 6–14 Read article
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Socio-Economic Impacts of Rivers State Government Ring Road Project on Residents of Port Harcourt Municipality
Abstract: As nations strive towards improving the socio-economic well-being of its citizens, efficient transportation system in the form of ring roads have become a desideratum for reducing traffic congestion and enhancing movement of goods and services. The paper examines the impacts a ring road can have on residents of project area with emphasis on Port Harcourt. The Hazard and Effect Management Process (HEMP) technique developed by SHELL was used to examine …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 42–51 Read article
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Assessment of Air Quality Index using High Volume Sampler for Nasik City
Abstract: Seismic Information on air quality in urban areas represents an important objective to raise awareness and participation of citizens towards those measures aimed at containing and reducing vehicular traffic. For several years at the international level, evaluation procedures have been adopted by indices. One of the first synthetic indices, adopted by the United States Environmental Protection Agency (US-EPA), have established an exchange of information from networks and individual stations measuring …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 3, 2021 · pp. 9–16 Read article
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Pedestrian Walking Speed Variation with Width of Stairway in Intercity Railway Stations
Abstract: Rail network being the economical and fast means of transport, many people in the developing countries like India rely on it. Railway stations acts as transfer hubs for passengers to alight and board trains. Unlike metro stations, where daily commuters are more, pedestrian traffic inside intercity railway station is heterogeneous in respect to attributes like age, gender, trip purpose, luggage etc. Pedestrians access various platforms using facilities passageways, stairways and …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 9–19 Read article
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Detection of Malicious Node in VANET
Abstract: Due to the fast mobility of vehicles, vehicular ad-hoc networks are currently a subject of research. The need of wireless network in Vehicular Communication led to the popularity of VANET. MANET is a superclass of VANET. These together contribute greatly to Intelligent Transportation System (ITS). Due to the rise in vehicles, efficient coordination between them has become necessary. There is no fixed topology in VANET, so the data transfer in …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 6–12 Read article
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Development of a Model on Pavement Condition Index
Abstract: India has one of the most extensive road networks globally, comprising various categories such as National Highways, State Highways, District Roads, and Village Roads. Each category of road plays an impressive role in economic development and connectivity among different important roads. But, the condition of these roads varies effectively due to difference in traffic intensity, construction quality, maintenance practices and climatic condition. The present research work conducted pavement condition surveys …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 1–7 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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Metro Systems' Role in Reducing CO2 Emissions in Urban Transport
Abstract: To better understand the impact of metro systems on reducing CO2 emissions in urban transport, a detailed analysis is required. This analysis should evaluate both the direct and broader effects of metro networks on the overall urban transportation system. It is crucial to quantify the actual contribution of metro systems in cutting CO2 emissions by considering the entire transport network. The evaluation should include not only the emissions generated by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 19–22 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Comparing and Analysis of Various Automated Model for Number Plate Detection
Abstract: In this paper, we analyze the results by comparing different methods to identify the number plate and it is more suitable for detecting the number plate involved in accuracy and image processing than any other model. This paper presents the usage of pictures for physical changes. The page refers to the different advances required to extract content from any picture record and makes a different book document, including information removed …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 20–24 Read article
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Pothole Detection utilising Machine Learning: A Review
Abstract: Potholes must be found and fixed quickly in order to maintain infrastructure, maximize transportation systems, and guarantee road safety. Using the Sequential API and the Keras library, this study presents a neural network model for pothole detection. Convolutional layers with ReLU activation, global average pooling, dense layers with dropout, and softmax activation for binary classification make up the model architecture. Image loading, resizing, array conversion, labeling, shuffling, normalization, and one-hot …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 35–43 Read article
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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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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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DDoS Attack Detection And Prevention
Abstract: Distributed Denial of Service (DDoS) attacks are huge scope helpful attacks propelled from an enormous number of traded off hosts called Zombies, is a significant danger to Internet administrations. Famous sites, for example, Yahoo, CNN, and Amazon, are among the notable casualties of DDoS attacks. Large number of companies transacting online are mainly facing the considerable loss as they are being targeted to DDoS attacks. DDoS attack works to shut …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 2, 2020 · pp. 7–14 Read article
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Effective Road Safety for Future Cities: Case Study Using GIS and Remote Sensing for Accident Analysis in Navi Mumbai
Abstract: Urban transportation systems face significant challenges due to rapid population growth and development. This study delves into the enhancement of road safety in Navi Mumbai by employing Geographic Information System (GIS) and Remote Sensing (RS) techniques. The escalating rate of vehicular accidents in Navi Mumbai presents a pressing concern. This research investigates accident data and traffic patterns, identifying vulnerable areas prone to accidents and congestion. By conducting spatial analysis using …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 3, 2023 · pp. 9–21 Read article
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The Future of Open Streets, New York City
Abstract: The COVID-19 pandemic necessitated rapid adjustments to New York City public spaces, leading to the implementation of the Open Streets program by the NYC Department of Transportation (DOT). This program transformed streets across the city into pedestrian- friendly zones by limiting vehicular traffic and providing much-needed outdoor space for residents to walk, bike, and socialize safely. While successful in some areas, the program faced significant challenges. These included equity issues, …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 16–31 Read article
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Automatic Number Plate Recognition Based Image Processing
Abstract: In most countries, traffic control and vehicle owner identification have become important problems. It is almost impossible to identify vehicle owners who break rules of the traffic, especially those driving at high speeds. Another problem inhibits traffic officers from catching the offenders in most cases because solving traffic offenders involves retrieving license plate numbers from fast-moving vehicles. Automatic Number Plate Recognition (ANPR) systems have been developed as an effective solution …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 33–40 Read article