Scheduling Just-in-Time Transport Vehicles to Feed Parts for Mixed Model Assembly Lines by Yunfang Peng, Tian Zeng, Yajuan Han, Beixin Xia

“…A mixed integer linear programming model with the primary objective of using the least number of tow trains is constructed by considering capacity of vehicle and inventory levels of line. …”
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Vision-Based Control of Robotic Arm Mounted on Unmanned Surface Vehicle for Rocket Recovery by Abenezer Zegeye, Sang Ki Jeong, Hae Yong Park, Sunghun Jung

“…To detect and localize the landing rockets, a depth camera sensor and an advanced You Only Look Once Version Eight (YOLOv8) object-detection algorithm were employed. To train the YOLO algorithm, a customized bespoke dataset was developed for rocket identification. …”
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A Cluster-based Optimal Scheduling Strategy for Electric Vehicles Considering User Participation by HAN Yan, DING Xiying, CHENG Kun, LI Xiaodong

“…Multilayer perceptron neural network is adopted to predict power load and obtain peak difference. The electric vehicle cluster classification network based on convolutional neural network is trained by using a large number of vehicle information and considering vehicle owner intention to classify the vehicle peak shaving participation, and quickly determine the total electricity involved in peak shaving. …”
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Fault detection for Li-ion batteries of electric vehicles with feature-augmented attentional autoencoder by Yunsheng Fan, Zhiwu Huang, Heng Li, Wei Yuan, Lisen Yan, Yongjie Liu, Zheng Chen

“…Then, the augmented features are input into the local outlier factor algorithm for battery fault detection. Real operational data from electric vehicles are used to train and test the autoencoder, covering the battery voltages, current, and temperature data. …”
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Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

“…To address these issues, the models need to be trained with a wide variety of Indian data samples for the autonomous vehicles to perform better in India. …”
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Establishment and Application of Wireless Fingerprint Library for Urban Rail Transit Vehicle-wayside Communication by WU Jie

“…Wireless monitoring equipment installed on metro trains collects real-time data on the vehicle-wayside communication wireless environment for each grid. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Abstract Electric Vehicle Charging Station (EVCS) security is a growing concern in today’s connected world due to the growing complexity and frequency of cyber threats. …”
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Minimization of Material Waste Through Maintenance Interval Optimization in Transport Systems by Augustyn Lorenc, Małgorzata Kuźnar

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Simulation and Experimental Research of Air Conditioning and Ventilating System for Intercity Train by Shujuan SUN, Xin LIN

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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

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Integrated Guidance and Control for Strap-Down Flight Vehicle: A Deep Reinforcement Learning Approach by Qinglong Zhang, Bin Zhao, Yifu Jiang, Jingyan Zhang, Jiale Zhang

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Intelligent Attitude Control of Hypersonic Vehicle Based on DDQN and Deep Q-Learning from Demonstrations by Liu Jingwen, Cai Guangbin, Fan Yonghua, Fan Hongdong, Wu Tong, Shang Yiming

“…Secondly, an algorithm based on DDQN (Double Deep Q-Network) and DQfD (Deep Q-learning from Demonstrations) is designed, which divides the training of agents into two stages: pre-training and formal training. …”
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Stage-induced learning-based cooperative target hunting strategy for multiple unmanned surface vehicles by Xingru QU, Yuze JIANG, Feifei LONG, Rubo ZHANG, Ying GAO

“…This is integrated with the multi-agent soft actor-critic (MASAC) algorithm for cooperative hunting training. Additionally, a stage-induced cooperative hunting reward method is introduced. …”
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Research on Status Assessment and Operation and Maintenance of Electric Vehicle DC Charging Stations Based on XGboost by Hualiang Fang, Jiaqi Liao, Shuo Huang, Maojie Zhang

“…To address the effective operation and maintenance of charging stations, a method based on the XGBoost algorithm for electric vehicle DC charging stations is proposed. …”
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Robust Formation Control for Unmanned Ground Vehicles Using Onboard Visual Sensors and Machine Learning by Mingfei Li, Haibin Liu, Feng Xie

“…This study developed a new UGV formation controller that relies solely on onboard visual sensors and proposed a teacher–student training method, TSTMIPI, combining the PPO algorithm with imitation learning, which significantly improves the control precision and convergence speed of the vision-based reinforcement learning formation controller. …”
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On the Usage of Deep Learning Techniques for Unmanned Aerial Vehicle-Based Citrus Crop Health Assessment by Ana I. Gálvez-Gutiérrez, Frederico Afonso, Juana M. Martínez-Heredia

“…To address the lack of public data, a comprehensive database was created and manually labelled at the pixel level to provide accurate training data for a deep learning approach. To reduce annotation effort, we developed a custom automation algorithm for pixel-wise labelling in complex natural backgrounds. …”
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Study on the improvement of semi-Hertzian wheel/rail contact algorithms by Yaru Liang, Qunsheng Wang, Jing Zeng, Bin Zhu, Rancheng Mao

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Energy Consumption Simulation and Energy-saving Operation Research of Subway Vehicle Based on Big Data by HE Haixing, SHEN Hongping, LI Weihong

“…It expounded the big data characteristic of subway vehicle, established train kinematics model and energy consumption model combined with multi-particle theory and developed an algorithm of train energy consumption simulation based on big data. …”
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Modeling and Implementing Two-Stage AdaBoost for Real-Time Vehicle License Plate Detection by Moon Kyou Song, Md. Mostafa Kamal Sarker

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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…In the tracking module, we incorporate the ByteTrack algorithm and train unique vehicle re-identification (Re-ID) features, ensuring robust multi-object tracking in complex environments and improving the stability and accuracy of vehicle flow tracking. …”
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