Showing 461 - 480 results of 805 for search 'road developing algorithm', query time: 0.08s Refine Results
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    Spatial Analysis on Networks: Towards identifying similarity of routes by Panagiotis Agourogiannis, Dimitris Kavroudakis, Marios Batsaris

    Published 2021-12-01
    “…Finally, the methodology as well as the search algorithm can be applied to any Spatial Network (transportations, environment, energy) described by its geographical features, considering all kinds of geographical issues, thus solving spatial problems and contributing to local development. …”
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    Optimal Skip-Stop Schedule under Mixed Traffic Conditions for Minimizing Travel Time of Passengers by Sun Feng, Zhu Wen-tao, Ye Ying, Wang Dian-hai

    Published 2013-01-01
    “…The optimization scheme can improve the operating efficiency of the road examined.…”
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    Determining the Number of Measurements and Bootstrap Samples Required to Estimate of Long-Term Noise Indicators by Bartłomiej STĘPIEŃ

    Published 2020-11-01
    “…The minimum size of the bootstrap algorithm input parameters have been determined for estimation of long-term indicators of road traffic noise. …”
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    YOLO-FDCL: Improved YOLOv8 for Driver Fatigue Detection in Complex Lighting Conditions by Genchao Liu, Kun Wu, Wei Lan, Yunjie Wu

    Published 2025-08-01
    “…Accurately identifying driver fatigue in complex driving environments plays a crucial role in road traffic safety. To address the challenge of reduced fatigue detection accuracy in complex cabin environments caused by lighting variations, we propose YOLO-FDCL, a novel algorithm specifically designed for driver fatigue detection under complex lighting conditions. …”
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    Crash severity prediction using a virtual geometry-group-based deep learning approach with images-based feature representation by Nanon Sonnatthanon, Kasem Choocharukul

    Published 2025-09-01
    “…Accurate prediction of accident severity is essential for developing effective road safety interventions. While previous research has explored various statistical and machine learning models, their predictive performance has been limited due to a primary focus on accurate metrics and the challenges posed by discrete accident data. …”
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    Vehicle Trajectory Reconstruction for Signalized Intersections with Low-Frequency Floating Car Data by Hua Wang, Changlong Gu, Washington Yotto Ochieng

    Published 2019-01-01
    “…A piecewise deceleration and acceleration model is developed to calculate the acceleration rate for different travel modes in the trajectory. …”
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