1–20 of 88 hits
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    Edge Intelligence in Intelligent Transportation Systems: A Survey

    Gong, Taiyuan / Zhu, Li / Yu, F. Richard et al. | IEEE | 2023
    transportation systems (ITS). ITS generates a large amount of data at the network edge by millions of devices and sensors. Data-driven artificial ...
    Publisher: IEEE

    Big Data Analytics in Intelligent Transportation Systems: A Survey

    Zhu, Li / Yu, Fei Richard / Wang, Yige et al. | IEEE | 2019
    . Intelligent transportation systems will produce a large amount of data. The produced big data will have profound impacts on the design and application ...
    Publisher: IEEE

    Intelligent railway systems in China

    Ning, Bin / Tang, Tao / Gao, Ziyou et al. | Tema Archive | 2006
    rail transportation system will require major advances in related technologies. Intelligent rail transportation systems represent a critical ...
    Keywords: Transport

    An intelligent train control approach based on the monte carlo reinforcement learning algorithm

    Liu, Wentao / Tang, Tao / Su, Shuai et al. | IEEE | 2018
    Traditional research on the train control problem use the determined train model and the control method cannot deal with the variable ...
    Publisher: IEEE

    A Learning Based Intelligent Train Regulation Method With Dynamic Prediction for the Metro Passenger Flow

    Zhu, Li / Shen, Chunzi / Wang, Xi et al. | IEEE | 2023
    With the acceleration of urbanization, the dynamic passenger flow has an ever-growing impact on the actual train operation. In this paper ...
    Publisher: IEEE

    Machine Learning in Urban Rail Transit Systems: A Survey

    Zhu, Li / Chen, Cheng / Wang, Hongwei et al. | IEEE | 2024
    Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern public transportation, attributed to their unparalleled ...
    Publisher: IEEE

    Cross-Layer Defense Methods for Jamming-Resistant CBTC Systems

    Zhu, Li / Li, Yang / Yu, F. Richard et al. | IEEE | 2021
    dynamic train travel speed profile generation algorithm is proposed to mitigate the jamming attacks’ impact on train control systems ...
    Publisher: IEEE

    Timetable Optimization for Regenerative Energy Utilization in Subway Systems

    Liu, Hongjie / Zhou, MengChu / Guo, Xiwang et al. | IEEE | 2019
    In subway systems, kinetic energy can be converted into electrical one by using regenerative braking systems. If regenerative energy (RE ...
    Publisher: IEEE

    An Intelligent train regulation algorithm for metro using deep reinforcement learning*

    Liu, Yafei / Tang, Tao / Yue, Lei et al. | IEEE | 2018
    Publisher: IEEE

    Enhancing Communication-Based Train Control Systems Through Train-to-Train Communications

    Wang, Xiaoxuan / Liu, Lingjia / Tang, Tao et al. | IEEE | 2019
    control scheme based on LTE-M with T2T communication to enhance the quality of service and the resilience of multi-train CBTC systems. In the ...
    Publisher: IEEE

    A Two-Objective Timetable Optimization Model in Subway Systems

    Yang, Xin / Ning, Bin / Li, Xiang et al. | IEEE | 2014
    The train timetable optimization problem in subway systems is to determine arrival and departure times for trains at stations so that the ...
    Publisher: IEEE

    A Cognitive Control Approach to Communication-Based Train Control Systems

    Wang, Hongwei / Yu, F. Richard / Zhu, Li et al. | IEEE | 2015
    can be significantly affected by wireless networks. Although some works have been done to study CBTC systems from both train–ground ...
    Publisher: IEEE

    A Cognitive Control Method for Cost-Efficient CBTC Systems With Smart Grids

    Sun, Wenzhe / Yu, Fei Richard / Tang, Tao et al. | IEEE | 2017
    Communication-based train control (CBTC) systems use wireless local area networks for information transmission between trains and wayside ...
    Publisher: IEEE

    Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems

    Wang, Feng / Xu, Tianhua / Tang, Tao et al. | IEEE | 2017
    Publisher: IEEE

    Qualitative and Quantitative Safety Evaluation of Train Control Systems (CTCS) With Stochastic Colored Petri Nets

    Wu, Daohua / Lu, Debiao / Tang, Tao | IEEE | 2022
    Currently qualitative as well as quantitative safety analysis of railway systems are usually conducted through Fault Tree Analysis (FTA ...
    Publisher: IEEE

    Energy-Efficient Communication-Based Train Control Systems With Packet Delay and Loss

    Sun, Wenzhe / Yu, Fei Richard / Tang, Tao et al. | IEEE | 2016
    ) systems with both packet delay and loss introduced by random transmission errors and frequent handoffs in train-wayside communications. A ...
    Publisher: IEEE

    A Potential Game Based Load Balancing Approach for Mobile Edge Computing Enabled Intelligent Rail Construction System

    Tian, Jinyuan / Tang, Tao / Lin, Sen et al. | IEEE | 2022
    Empowered by mobile edge computing (MEC) technology, the intelligent railway construction system can further improve railway construction ...
    Publisher: IEEE

    Event-Triggered Predictive Control for Automatic Train Regulation and Passenger Flow in Metro Rail Systems

    Wang, Xi / Li, Shukai / Tang, Tao et al. | IEEE | 2022
    Focusing on improving the operation efficiency and riding comfort of metro rail lines in the peak hours, this article investigates the real ...
    Publisher: IEEE

    A Cooperative Scheduling Model for Timetable Optimization in Subway Systems

    Yang, Xin / Li, Xiang / Gao, Ziyou et al. | IEEE | 2013
    In subway systems, the energy put into accelerating trains can be reconverted into electric energy by using the motors as generators during ...
    Publisher: IEEE

    Saving Energy and Improving Service Quality: Bicriteria Train Scheduling in Urban Rail Transit Systems

    Huang, Yeran / Yang, Lixing / Tang, Tao et al. | IEEE | 2016
    This paper formulates a two-objective model to optimize the timetables of urban rail transit systems based on energy-saving strategies and ...
    Publisher: IEEE