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    Method for automated detection of outliers in crash simulations

    Kracker, David / Dhanasekaran, Revan Kumar / Schumacher, Axel et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    DRL-based adaptive signal control for bus priority service under connected vehicle environment

    Zhang, Xinshao / He, Zhaocheng / Zhu, Yiting et al. | Taylor & Francis Verlag | 2023
    Keywords: deep reinforcement learning

    A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

    Free access
    Rawson, Andrew / Brito, Mario | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    Arterial corridor travel time prediction under non-recurring conditions

    Shafiei, Sajjad / Wang, Eileen / Grzybowska, Hanna et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Vehicle yaw stability control with a two-layered learning MPC

    Zhang, Zhiming / Xie, Lei / Lu, Shan et al. | Taylor & Francis Verlag | 2023
    Keywords: model learning

    Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs

    Zechin, Douglas / Cybis, Helena Beatriz Bettella | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    An autonomous location prediction model for maritime transport applications: a case study of Persian Gulf

    Khalilabadi, Mohammad Reza | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model

    Jia, Tao / Cai, Chenxi | Taylor & Francis Verlag | 2023
    Keywords: Deep learning

    An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption

    Bas, Javier / Zou, Zhenpeng / Cirillo, Cinzia | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Keywords: deep-learning

    Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

    Song, Yang / Hu, Xianbiao | Taylor & Francis Verlag | 2023
    Keywords: ensemble learning

    Integrating built environment and parking policy for car commuting reduction: evidence from Beijing

    Wang, Xiaoquan / Yin, Chaoying / Zheng, Changjiang et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning model

    Departure time choice behavior in commute problem with stochastic bottleneck capacity: experiments and modeling

    Liu, Qiumin / Lu, Dongxu / Jiang, Rui et al. | Taylor & Francis Verlag | 2023
    Keywords: reinforcement learning model

    Estimating lane utilization for variable approach lanes using explainable machine learning

    Alagbé, Adjé Jérémie / Jin, Sheng / Bao, Qianhan et al. | Taylor & Francis Verlag | 2023
    Keywords: explainable machine learning

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    Traffic sign extraction using deep hierarchical feature learning and mobile light detection and ranging (LiDAR) data on rural highways

    Gouda, Maged / Epp, Alexander / Tilroe, Rowan et al. | Taylor & Francis Verlag | 2023
    Keywords: Deep learning

    A human-centric machine learning based personalized route choice prediction in navigation systems

    Sun, Bingrong / Gong, Lin / Shim, Jisup et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time

    Ullah, Irfan / Liu, Kai / Yamamoto, Toshiyuki et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning (ML) algorithm

    Propeller optimization by interactive genetic algorithms and machine learning

    Free access
    Gypa, Ioli / Jansson, Marcus / Wolff, Krister et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Welding distortion prediction of ship plate frame structures based on a self-learning database

    Cao, Yu / Song, Yuze / Zhang, Tao et al. | Taylor & Francis Verlag | 2023
    Keywords: self-learning database

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