1–20 von 43 Ergebnissen
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    Towards blockchain-based intelligent transportation systems

    Yuan, Yong / Wang, Fei-Yue | IEEE | 2016
    potential of revolutionizing the increasingly centralized intelligent transportation systems (ITS) in applications. Blockchain can be utilized to ...
    Verlag: IEEE

    TAO-Based Data Governance in Intelligent Transportation Systems

    Liang, Xiaolong / Li, Juanjuan / Qin, Rui et al. | IEEE | 2023
    Intelligent Transportation Systems (ITS) are heavily dependent on private user data. However, most ITS fails to harness the potential of ...
    Verlag: IEEE

    Transportation 5.0 in CPSS: Towards ACP-based society-centered intelligent transportation

    Wang, Fei-Yue / Zhang, Jun Jason | IEEE | 2017
    In this position paper, we aim to provide our argumentation on why the society-centered intelligent transportation system (ITS), or ...
    Verlag: IEEE

    An erlang-based simulation approach of Artificial Transportation Systems

    Chen, Songhang / Zhu, Fenghua / Wang, Fei-Yue | IEEE | 2016
    Artificial Transportation Systems (ATS) can support a variety of computational experiments for different purposes, and have become ...
    Verlag: IEEE

    Intelligent railway systems in China

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

    An Implementation of Artificial Transportation Systems based on JXTA

    Miao, Qinghai / Wang, Zhixue / Wang, Fei-Yue et al. | IEEE | 2006
    infrastructures and a shopping center are described first, and the design and implementation of the basic ideas of artificial transportation systems based ...
    Verlag: IEEE

    A software architecture for artificial transportation systems - principles and framework

    Li, Jinyuan / Tang, Shuming / Wang, Xiqin et al. | IEEE | 2007
    Artificial Transportation Systems(ATS) is an extension of the traffic micro-simulation, which integrates the transportation system with ...
    Verlag: IEEE

    Building Transportation Foundation Model via Generative Graph Transformer

    Wang, Xuhong / Wang, Ding / Chen, Liang et al. | IEEE | 2023
    models in the transportation system have not received adequate attention. To address this gap, we propose the Generative Graph Transformer (GGT ...
    Verlag: IEEE

    ACP Based Large-Scale Coordinated Route Planning: From Perspective of Cyber-Physical-Social Systems

    Luo, Guiyang / Zhang, Hui / Wang, Xiao et al. | IEEE | 2022
    congestion problem. Building upon cyber-physical-social systems (CPSS), this paper proposes ParallelRoute that exploits computational experiments in ...
    Verlag: IEEE

    An Investigation on ATS from the Perspective of Complex Systems

    Li, Jinyuan / Tang, Shuming / Wang, Fei-Yue | IEEE | 2008
    Artificial transportation systems (ATS) has been related to the study of complex systems and traffic simulation since its birth. Its ...
    Verlag: IEEE

    Dynamic States Prediction in Autonomous Vehicles: Comparison of Three Different Methods

    Liu, Teng / Tian, Bin / Ai, Yunfeng et al. | IEEE | 2019
    perception, decision-making, planning and control. Since there is no human driver to handle the emergency situation, future transportation ...
    Verlag: IEEE

    Long/Short-Term Appearance Modeling and Two-Step Association for Multi-Object Tracking

    Liu, Yating / Li, Xuesong / Wang, Kunfeng et al. | IEEE | 2019
    Vision-based multi-object tracking has many potential applications in intelligent transportation systems and intelligent vehicles. Tracking ...
    Verlag: IEEE

    A Collaborative Communication-Qmix Approach for Large-scale Networked Traffic Signal Control

    Chen, Xiaoyu / Xiong, Gang / Lv, Yisheng et al. | IEEE | 2021
    Networked Traffic Signal Control (NTSC) has become an essential component in Intelligent Transportation Systems (ITS). To satisfy both ...
    Verlag: IEEE

    Recurrent Attention Unit: A Simple and Effective Method for Traffic Prediction

    Wei, Zebing / Li, Zhishuai / Wang, Chunxiang et al. | IEEE | 2021
    Verlag: IEEE

    A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction*

    Li, Zhishuai / Xiong, Gang / Chen, Yuanyuan et al. | IEEE | 2019
    Traffic flow prediction is an important functional component of Intelligent Transportation Systems (ITS). In this paper, we propose a ...
    Verlag: IEEE

    When LPWAN Meets ITS: Evaluation of Low Power Wide Area Networks for V2X Communications

    Li, Yuke / Yang, Linyao / Han, Shuangshuang et al. | IEEE | 2018
    Verlag: IEEE

    Traffic Flow Prediction with Parallel Data

    Chen, Yuanyuan / Lv, Yisheng / Wang, Xiao et al. | IEEE | 2018
    Traffic prediction is an elemental function of Intelligent Transportation Systems, and accurate and timely prediction is of great ...
    Verlag: IEEE

    DeMaaS: Efficient Service Distribution for MaaS via Decentralized Collaboration and Optimization

    Xu, Jia / Yao, Shengyue / Yu, Yi et al. | IEEE | 2023
    Mobility as a Service (MaaS) endeavors to offer an integrated transportation system via a singular application with a view to curtailing ...
    Verlag: IEEE

    Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization

    Yao, Shengyue / Yu, Jingru / Yu, Yi et al. | IEEE | 2023
    With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful ...
    Verlag: IEEE