1–20 of 375 hits
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    Autonomy to Enable NASA Missions from Aeronautics to Space

    Adam Yingling | NTRS | 2024
    , perhaps autonomy work originally developed for terrestrial applications, like Advanced Air Mobility (AAM), could be applied to off-world lunar and ...
    Keywords: Artificial Intelligence

    Assessing the Suitability of Different Machine Learning Approaches for Smart Traffic Mobility

    Zaman, Mostafa / Saha, Sujay / Abdelwahed, Sherif | IEEE | 2023
    traffic patterns to reduce congestion and accidents due to rapid economic development and rising number of vehicles. It is essential for ...

    Application Method for Highway Traffic Flow Prediction and Speed Optimization Based on BP Neural Network

    Wang, Haodong / Ge, Xiaonan / Nie, Guangpeng et al. | IEEE | 2023
    This study focuses on addressing traffic congestion and enhancing Intelligent Transportation Systems (ITS). Anomalies in data are managed ...

    Emergency Vehicle Recognition Via Automated Smart Traffic Manager

    Srikanteswara, Ramya / H, Saroja Devi / Hegde, Anantashayan et al. | IEEE | 2023
    substantial delays for commuters, students, and critical service providers like emergency vehicles. This study offers a novel Traffic Management and ...

    Reinforcement Learning Model for Traffic Control in Urban Area

    Kavedia, Manoj Sheshmal / Shinde, Jitendrakumar Namdeo | IEEE | 2023
    reliability in travel times. These findings hold promise for improving urban mobility and reducing the environmental impact of traffic congestion. By ...

    CCIR: An Architecture for Collecting and Storing Connnected Corridor Infrastructure and Mobility Data

    Bonilla, Lander / Lopez-De-Armentia, Juan / Zarate, Gorka et al. | IEEE | 2023
    , Artificial Intelligence or Internet of Things (IoT). Their main objective is to provide environments for testing, validating and demonstrating all ...

    RODAD: Resilience Oriented Decentralized Anomaly Detection for Urban Air Mobility Networks

    Wei, Sixiao / Huang, Hui / Chen, Genshe et al. | IEEE | 2023
    Urban air mobility (UAM) helps ease traffic congestion and offers cleaner, faster, and safer transportation, especially for densely ...

    A Smart Model to Manage Traffic Using Infrared Sensors and Bell Detection System: A Computer Controlled Traffic System

    Saxena, Ashendra Kumar / Adlin, Jebakumari S | IEEE | 2023
    evaluate several traffic parameters, such as vehicle count, speed, and categorization, is improved. The data is essential for the machine learning ...

    Urban Traffic Density Estimation from Vehicle-mounted Camera for Real-time Application

    Cho, Haechan / Yoon, Yeohwan / Kim, Jihu et al. | IEEE | 2023
    Obtaining a high-quality traffic state over the wide urban area is critical for implementing effective urban traffic control. Among the ...

    Vehicle Detection using Artificial Intelligence based Algorithm in Intelligent Transportation Systems

    Waqar, Muhammad / Ishaq, Muhammad / Afzal, Muhammad Hammad et al. | IEEE | 2023
    Intelligent transportation systems (ITS) are the future of inter- and intra-city mobility. ITS has several features, and vehicle detection ...

    Design of an Adaptive Traffic Light Network System through an AIoT-based Analytic Model

    Ayson, Joshua Daniel C. / Bautista, Lee Kelvin D. / Dionglay, Maria Abigail B. et al. | IEEE | 2023
    Traffic jams at intersections increase congestion on the roads. Traditional traffic light systems control traffic for a fixed period, and ...

    Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services

    Wolf, Fynn / Engelhardt, Roman / Zhang, Yunfei et al. | IEEE | 2023
    traffic simulation to consider dynamic and stochastic network travel times. Results from a case study for Munich, Germany show, that the ...

    A More Efficient Way to Control Traffic Lights Through AI-Led Smart City Management

    Choudhary, Shilpa / Ali, Shaik Shabbir / Babu, N. Ramesh et al. | IEEE | 2023
    powered by AI and leverages machine learning methods. This suggested work is a traffic light control system that uses artificial intelligence and ...

    Enhancing VRUs Safety Through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning

    Safavifar, Zahra / Mechalikh, Charafeddine / Xie, Junfei et al. | IEEE | 2023
    orchestration model for VRUs safety applications. To guarantee a high success rate and reduce the risk of task failure due to mobility, this model uses ...

    Enhancing a Smart Mobility-Based Transport Management System (SMTMS) through Smart Innovation Systems and Technologies (SIST); A Case Study on Factors Influencing the Commuting Mode Choice of Civil Servant in the Ministry of Infrastructure and Transport, Thimphu, Bhutan

    Mckeever, David / Dema, Sonam Seldon | IEEE | 2023
    for more than 60% of its total area forever. Because of this, traffic is always congested all around the city, particularly in Bhutan’s ...

    RF And Computer Vision Based Warning System For Minimizing Road Accidents

    Snehil / S, Praveen Kumar / Wadhwa, Atanu | IEEE | 2023
    over-speeding. This paper presents the design proposal of a hardware and software-based implementation of a pre-emptive warning system for over ...

    Multi-Scale Occluded Pedestrian Detection Based on Deep Learning

    Pan, Zhongyu | IEEE | 2023
    brings new challenges to the technological advancement of urban traffic management, intelligent security, and other fields. Pedestrian detection ...

    Design of Rectangular Slotted Microstrip Patch Antenna for V2V Communication at 38GHz

    Loganathan, M. / Bhagyaveni, M.A. | IEEE | 2023
    . Approximately 150,000 people losing their lives each year in road crashes. various factors contribute to the major number of traffic accidents and ...

    An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses

    Ziryawulawo, Ali / Mduma, Neema / Lyimo, Martine et al. | IEEE | 2023
    safety and reducing road traffic accidents. In Uganda, road accidents have continued to soar with an increase of up to 42% in 2021 due to the ...

    Improving Vehicle Detection using Ghost Convolution and GhostBottleneck layers in YOLOv5s

    Yadav, Rohit Kumar / Nigam, Nikhil / Singh, Dhirendra Pratap et al. | IEEE | 2023
    system is a need. Vehicle detection is necessary for automatic traffic management to accurately monitor and control the flow of traffic. In this ...