A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy
J Wang, Y Zhou, H Jiang - Expert Systems with Applications, 2023 - Elsevier
With the continuous increase in global photovoltaic installations, the importance of
photovoltaic power generation to the power industry has gradually increased, which means …
photovoltaic power generation to the power industry has gradually increased, which means …
[HTML][HTML] AGNP: Network-wide short-term probabilistic traffic speed prediction and imputation
Abstract The data-driven Intelligent Transportation System (ITS) provides great support to
travel decisions and system management but inevitably encounters the issue of data …
travel decisions and system management but inevitably encounters the issue of data …
End-to-end learning of user equilibrium with implicit neural networks
This paper intends to transform the transportation network equilibrium modeling paradigm
via an “end-to-end” framework that directly learns travel choice preferences and the …
via an “end-to-end” framework that directly learns travel choice preferences and the …
Uncovering the spatiotemporal patterns of traffic congestion from large-scale trajectory data: A complex network approach
Understanding the spatiotemporal characteristics of traffic congestion is the cornerstone of
generating traffic management and control strategies. Based on the large-scale taxi …
generating traffic management and control strategies. Based on the large-scale taxi …
[PDF][PDF] Ensemble classifier design based on perturbation binary salp swarm algorithm for classification
X Zhu, P Xia, Q He, Z Ni, L Ni - Comput. Model. Eng. Sci, 2023 - cdn.techscience.cn
Multiple classifier system exhibits strong classification capacity compared with single
classifiers, but they require significant computational resources. Selective ensemble system …
classifiers, but they require significant computational resources. Selective ensemble system …
Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach
This research investigates the effectiveness of information provision for congestion reduction
in Connected Autonomous Vehicle (CAV) systems. The inherent advantages of CAVs, such …
in Connected Autonomous Vehicle (CAV) systems. The inherent advantages of CAVs, such …
Improving the energy efficiency and riding comfort of high-speed trains across slopes by the optimized suspension control
D Zhang, ZY Tao, K Zhou, FR Zhou, QY Peng, YY Tang - Energy, 2024 - Elsevier
As the link between cities, the high-speed train (HST) not only effectively enhances national
and regional accessibility, but also induces much energy consumption. On the other hand …
and regional accessibility, but also induces much energy consumption. On the other hand …
A case retrieval strategy for traffic congestion based on cluster analysis
H Zhang, J Yang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In order to improve the retrieval efficiency, this paper uses case‐based reasoning (CBR) in
the retrieval of traffic congestion cases and tries to adopt the strategy of clustering case …
the retrieval of traffic congestion cases and tries to adopt the strategy of clustering case …
AI+CASE Lab: Advanced Interdisciplinary Research and Education Lab for Connected, Autonomous, Shared, and Green Transportation Systems [Its Research Lab]
Y Lv - IEEE Intelligent Transportation Systems Magazine, 2023 - ieeexplore.ieee.org
AI<sup>+</sup>CASE Lab: Advanced Interdisciplinary Research and Education Lab for
Connected, Autonomous, Shared, and Page 1 IEEE INTELLIGENT TRANSPORTATION …
Connected, Autonomous, Shared, and Page 1 IEEE INTELLIGENT TRANSPORTATION …
[PDF][PDF] 大数据时代国内外个人信息保护研究热点和演化趋势
彭飞， 肖荻昱 - 情报探索, 2024 - itginsight.com
[目的/意义] 对大数据时代国内外个人信息保护的研究热点和演化趋势进行了总结和回顾,
旨在为相关领域的研究提供参考和启示.[方法/过程] 运用文献计量法和科学知识图谱法 …
旨在为相关领域的研究提供参考和启示.[方法/过程] 运用文献计量法和科学知识图谱法 …