Security Enhancement in AAV Swarms: A Case Study Using Federated Learning and SHAP Analysis by Sushmitha Halli Sudhakara, Lida Haghnegahdar

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Determining Factors Affecting Acceptance of Autonomous Vehicles using Statistical and Machine Learning Models by Uneb Gazder, Eman Algherbal

“…This was shown by the parametric analysis performed at a significance level of 5% and later confirmed by the model. …”
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Determining Factors Affecting Acceptance of Autonomous Vehicles using Statistical and Machine Learning Models by Uneb Gazder, Eman Algherbal

“…This was shown by the parametric analysis performed at a significance level of 5% and later confirmed by the model. …”
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Modeling the clustering strength of connected autonomous vehicles and its impact on mixed traffic capacity by Peilin Zhao, Yiik Diew Wong, Feng Zhu

“…To address the gap, this study models the vehicle stream of mixed traffic on the single-lane road as a binary sequence and proposes the autocorrelation-based platooning intensity (API) metric. …”
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Physical Architecture Simulation Based on System Dynamics Modelling for an Autonomous Transportation System Scenario by Chen Liang, Zhenwu Chen, Liang Yang, Zihan Guo, Xianglong Feng, Zhijun Huang, Xiang Liu, Yuqing Qian, Yanqing Xu, Xiaochun Zhang, Ji Zhang

“…In conclusion, the system dynamic model could help researchers understand and evaluate the physical architecture’s operation of ATS by scenario analysis.…”
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Sensitivity and Performance Evaluation of Multiple-Model State Estimation Algorithms for Autonomous Vehicle Functions by Olivér Törő, Tamás Bécsi, Szilárd Aradi, Péter Gáspár

“…The measurements are generated according to standard automotive radar models. The analysis conducted along two aspects emphasizes the different performance and scaling properties of the examined state estimation algorithms. …”
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A Design Method for Road Vehicles with Autonomous Driving Control by Chunyu Mao, Yuping He, Martin Agelin-Chaab

“…The proposed method features a design framework with two layers: at the upper layer, a particle swarm optimization (PSO) algorithm serves as a solver to a multi-objective optimization problem for desired AV trajectory-tracking performance; at the lower layer, a coupled dynamic analysis is conducted among the three subsystems, i.e., a nonlinear model for the mechanical vehicle, a motion-planning module, and a controller based on nonlinear model predictive control (NLMPC) for direction control. …”
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Could the next generation of bike-sharing with autonomous bikes be financially sustainable? by Imen Haj Salah, Vasu Dev Mukku, Malte Kania, Tom Assmann, Hartmut Zadek

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OPTIMIZATION OF NONCONVENTIONAL UV EMISSION PILLAR OF THE AUTONOMOUS MOBILE PLATFORM THROUGH STRUCTURAL ANALYSISCS by Mihail Aurel Titu, Daniel Balc, Emanuel Balc

“…The present study is dedicated to a meticulous optimization process of the UV emission pole on an autonomous mobile platform, employing structural analysis and the finite element analysis program ANSYS. …”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

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Tapping the Brakes: An Exploratory Survey of Consumers’ Perceptions of Autonomous Vehicles by George D. Shows, Mathew Zothner, Pia A. Albinsson

“…The purpose of this study is to gain a better understanding of the difficulty in measuring consumer acceptance of emergent technologies where artificial intelligence is present in autonomous vehicles (AVs). Using the Technology Acceptance Model (TAM) as our theoretical lens, survey data of US adult consumers are used to better understand consumer acceptance of AVs. …”
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Autonomous systems and attractor behaviors in non-metricity gravity: stability analysis and cosmic acceleration by Pooja Vishwakarma, Parth Shah, Kazuharu Bamba

“…Abstract The cosmological dynamics are rigorously investigated through the systematic application of autonomous system analysis to the gravitational field equations in non-metricity gravity. …”
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Research on Lateral Motion Prediction and Control of Autonomous-rail Rapid Tram by YAN Yongjun, WANG Jinxiang, HU Yunqing, YUAN Xiwen, WU Mengyang, HUANG Ruipeng, WANG Bin

“…In this paper, model predictive control (MPC) method is used to study the path tracking control of autonomous-rail rapid tram. …”
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Reliability Analysis of Multi-Autonomous Underwater Vehicle Cooperative Systems Based on Fuzzy Control by Yu Hao, Yuan Yao, Yanbo Zhang, Fang Zuo

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Characteristic Analysis of Mixed Traffic Flow of Regular and Autonomous Vehicles Using Cellular Automata by Yangzexi Liu, Jingqiu Guo, John Taplin, Yibing Wang

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STPA analysis for safe operation of maritime autonomous surface ship under degradation state by Hyeri Park, Jeongmin Kim

“…As Maritime Autonomous Surface Ships (MASS) move toward commercialization, ensuring operational safety under degraded states has emerged as a critical challenge. …”
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Network model and topology control algorithm based on hierarchical autonomous system in space information network by Wei ZHANG, Geng-xin ZHANG, Dong-ming BIAN, Liang GOU, Zhi-dong XIE

“…Due to the distinguishing characteristics of space information network (SIN) such as large scale,high component complexity and dynamic,a novel network model based on hierarchical autonomous system (AS) was proposed.This model divided the complex SIN into simpler AS and sub-AS networks according to node properties,link capabilities,task features,distribution areas,etc.In these AS or sub-AS networks,different control strategies could be adopted.In this way,the dynamic network was decoupled into semi-static sub-networks,and the high dynamic coupling problem among sub-networks was solved.Then,an AS network topology control algorithm based on the hierarchical autonomous system model was proposed to minimize the time delay in the SIN.Compared with most existing approaches for SIN where either the purely centralized or the purely distributed control method was adopted,the proposed algorithm was a hybrid control method.In order to reduce the cost of control,the control message exchange was constrained among neighboring sub-AS networks.It is proved that the proposed algorithm achieve logical k-connectivity on the condition that the original physical topology is k-connectivity.Simulation results validate the theoretical analysis and effectiveness of the algorithm.…”
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Scenario-Driven Evaluation of Autonomous Agents: Integrating Large Language Model for UAV Mission Reliability by Anıl Sezgin

“…The Internet of Drones (IoD) integrates autonomous aerial platforms with security, logistics, agriculture, and disaster relief. …”
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Unveiling public perceptions of battery technology in autonomous vehicles via topic modeling of news articles by Inje Kang, Jiseong Yang, Zhunwoo Kim

“…Abstract Autonomous vehicles (AVs) have gained a substantial attention for their transformative potential, with prior research predominantly focusing on end-user perceptions and autonomous functions. …”
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An autonomous GIS agent framework for geospatial data retrieval by Huan Ning, Zhenlong Li, Temitope Akinboyewa, M. Naser Lessani

“…Powered by the emerging large language models (LLMs), autonomous geographic information system (GIS) agents can perform spatial analyses and cartographic tasks. …”
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