Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration by Shahabaz Afraj, Ondřej Vaculín, Dennis Böhmländer, Luděk Hynčík

“…Abstract The development of finite element vehicle models for crash simulations is a highly complex task. …”
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Effect of the Controllers With Control Delay on Vehicle-Guideway Coupling Vibration for Maglev Train at Standing Still by Keren Wang, Weihua Ma, Xiaohao Chen, Ruiming Zou

“…The commercial operation of maglev trains is significantly affected by vibrations resulting from the coupling between the vehicle and track. …”
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Review of Maglev Train Dynamics Research by WEN Yanfeng, ZHANG Weifeng, CAI Wenfeng, XU Hao

“…[Method] Based on UM (universal mechanism) dynamics simulation software, research findings on various aspects, including vehicle suspension parameters, suspension frame structures, multi-unit train dynamics, active suspension control algorithms, passive suspension fitting models, vehicle-track dynamics, train dynamics under crosswind loads, and bridge dynamic responses are summarized, and future research directions are prospected. …”
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Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm by Wei Wang, Subin Huang, Huabin Diao

“…In this algorithm, first, we construct a stable training framework that incorporates the stable feature-sharing module with constrained gradient backpropagation, which bolsters the USV’s scene memorization capacity, reduces model training fluctuations during navigation policy learning, and improves the training stability of the navigation model. …”
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The A3C Algorithm With Eligibility Traces of Energy Management for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

“…A mathematical formulation of the energy management problem is proposed to optimize fuel consumption while adhering to the vehicle’s operational constraints. The core of the paper focuses on the application of the Asynchronous Advantage Actor-Critic (A3C) algorithm to address this problem. …”
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Review of Active Noise Control Technology of Railway Vehicle by LUO Zhuhui, LI Tao, HE Caichun, ZHANG Yaxin, ZHOU Xisheng, LI Zhuang

“…Interior noise of railway vehicle especially high-speed train increases with vehicle’s speed increasing. …”
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Vehicle Recognition and Driving Information Detection with UAV Video Based on Improved YOLOv5-DeepSORT Algorithm by Binshuang Zheng, Jing Zhou, Zhengqiang Hong, Junyao Tang, Xiaoming Huang

“…The loss function also stabilized at a very low level after 70 training epochs. Then, the trained YOLOv5 is used to replace the Faster R-CNN detector in the DeepSORT algorithm to improve the detection accuracy and speed and extract the vehicle driving information from the perspective of UAV. …”
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Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem by Yu Zhou, Leishan Zhou, Yun Wang, Zhuo Yang, Jiawei Wu

“…The train-set circulation plan problem (TCPP) belongs to the rolling stock scheduling (RSS) problem and is similar to the aircraft routing problem (ARP) in airline operations and the vehicle routing problem (VRP) in the logistics field. …”
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An Improved Whale Optimization Algorithm via Angle Penalized Distance for Automatic Train Operation by Longda Wang, Yanjie Ju, Long Guo, Gang Liu, Chunlin Li, Yan Chen

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Multiclass Sentiment Analysis of Electric Vehicle Incentive Policies Using IndoBERT and DeBERTa Algorithms by Muhammad Bayu Nugroho, Akhmad Khanif Zyen, Nur Aeni Widiastuti

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A Novel Dataset and Detection Method for Unmanned Aerial Vehicles Using an Improved YOLOv9 Algorithm by Depeng Gao, Jianlin Tang, Hongqi Li, Bingshu Wang, Jianlin Qiu, Shuxi Chen, Xiangxiang Mei

“…With the growing popularity of unmanned aerial vehicles (UAVs), their improper use is significantly disrupting society. …”
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Experiment of Image Recognition of Railway Vehicle Brake Shoe Based on Edge Moment Invariants Matching Algorithm by 高向东, 伍世全, 王腾

“…A new method for image recognition of train brake shoe based on edge moment invariants matching algorithm had been researched. …”
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Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms by Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy

“…In this study, artificial intelligence algorithms were trained using Homogeneous agent systems with a capacity of 3 tons to optimize routes between hospitals within the Closed Capacitated Vehicle Routing Problem framework. …”
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CRASHWORTHINESS DESIGN AND OPTIMIZATION FOR COLLISION POST OF TRAIN by SHI YueQing, QIN RuiXian, CHEN BingZhi

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A New Speed Measurement System and Its Algorithm for Medium and Low Speed Maglev Train by ZHANG Zhengfang, JIANG Jie, GAN Weiwei, LU Xueyun, ZHAO Xufeng

“…A test was carried out in a domestic low-speed maglev train. Effectiveness and reliability of the proposed algorithm are verified by comparing the actual speed of the vehicle with high-precision radar.…”
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An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios by Junsong Wang, Yuntian Cui, Hongxin Zhang, Haolin Wu, Chen Yang

“…In this study, the prior probability distribution of alternative targets was introduced into the SSVEP recognition algorithm, and an asynchronous training-free SSVEP-BCI detection algorithm for non-equal prior probability scenarios was proposed. …”
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Mixture of Experts Framework Based on Soft Actor-Critic Algorithm for Highway Decision-Making of Connected and Automated Vehicles by Fuxing Yao, Chao Sun, Bing Lu, Bo Wang, Haiyang Yu

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Leveraging genetic algorithms and neural networks for stiffness and weight optimisation of an unmanned aerial vehicle (UAV) support arm by Iuri H. Müller, José Humberto S. Almeida Jr, Sandro C. Amico, Maikson L.P. Tonatto

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Smart Electric Vehicle Charging Algorithm to Reduce the Impact on Power Grids: A Reinforcement Learning Based Methodology by Federico Rossi, Cesar Diaz-Londono, Yang Li, Changfu Zou, Giambattista Gruosso

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Research on AGV Path Planning Based on Improved DQN Algorithm by Qian Xiao, Tengteng Pan, Kexin Wang, Shuoming Cui

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