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Investigating Consumer Behaviour Towards Electric Vehicles: A Systematic Literature Review

Circular Economy and Sustainability 2025年第2期5卷 1419-1450页

作者： Quaglieri, Luca Mercuri, Francesco Fraccascia, Luca Department of Computer Control and Management Engineering “Antonio Ruberti” - Sapienza University of Rome Rome Italy Department of Mechanical and Aerospace Engineering Sapienza University of Rome Rome Italy Department of Management Sapienza University of Rome Rome Italy Department of High-Tech Business and Entrepreneurship University of Twente Enschede Netherlands

Through the 2030 Agenda, countries are committed to reducing pollutant emissions. In this context, the transport sector plays a relevant role and road transport accounts for a very large proportion of Greenhouse gas emissions (GHGs). Although several papers investigate this issue, none of the previous ones provide a holistic classification of the factors influencing purchase intention towards Electric Vehicles (EVs), as this paper does. Based on a systematic literature review, our research contributes to bridge the gap by setting out a new theoretical framework through which 104 factors were conceptualized with a double level of detail, first grouped into 15 conceptual groups and then clustered into three areas Economic, Personal consumers and Technological and evaluated according to their impact–direct or indirect–on customers' intention to purchase electric vehicles… The factor conceptualization offers theoretical implications by presenting a holistic view of the factors that influence EVs adoption intention. In addition, the study presents managerial implications to support incentive policies for policy makers and marketing strategies for companies. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Circular economy Consumer behaviour Electric vehicles Intention to adopt Purchase intention Systematic literature review

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Reference Model Design in Multiple Timescale Adaptive control

Reference Model Design in Multiple Timescale Adaptive Contro...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Eves, Kameron Valasek, John Electrical and Computer Engineering Engineering Department Utah Tech University Saint GeorgeUT84770 United States Vehicle Systems and Control Laboratory Aerospace Engineering Department Texas A and M University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The method [K]control of Adaptive Multiple-timescale Systems (KAMS) has been used as a method of adaptive control for systems with states that evolve at vastly different rates and with uncertain parameters. Prior research on KAMS has shown a relationship between the asymptotic behavior of the reference models and the behavior of the full-order closed-loop system. Poor reference model design can cause steady-state error or instability even if that reference model is acceptable in a single timescale context, due to adverse feedback between the reference models and the fast-state manifold. This paper simplifies KAMS control design and provides insight into multiple timescale reference models by identifying design considerations for the fast and slow reference models. For fast reference models, it is shown that the stability proofs used in KAMS control design necessarily require the manifold to be an asymptotically stable equilibrium of the fast reference model, despite prior work that allowed other possibilities. In the case of a slow reference model that is not asymptotically stable to its reference signal, it is common for the inner connection conditions to be dependent on the reference signal. This can cause the interconnection conditions to be ill-formatted for the application of the stability proofs used in KAMS control design. This paper addresses that case and proposes the use of Raffoul’s condition as a method to prove stability in the sense of Lyapunov. A linear quadrotor attitude stabilization problem is used as a framework for the slow reference model analysis. Results presented in the paper show that 1) the asymptotic stability of the fast reference model is a necessary condition for the KAMS stability proofs used in prior work and 2) Raffoul’s condition is a sufficient condition for Lyapunov sense stability even when the inner connection conditions are ill-formatted for the KAMS stability proofs used in prior work. © 2025, American Institute of Aeronautics

关键词： Model reference adaptive control

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Use of Facial Expressions to Improve the Social Acceptance of Level 4 and 5 Automated Driving System Equipped Vehicles 30

Use of Facial Expressions to Improve the Social Acceptance o...

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30th International Conference on Software, Telecommunications and computer Networks, SoftCOM 2022

作者： Marceddu, Antonio Costantino Sini, Jacopo Montrucchio, Bartolomeo Violante, Massimo Politecnico di Torino Department of Control and Computer Engineering Turin Italy

ISBN: (数字)9789532901177

ISBN: (纸本)9789532901177

According to the World Health Organization (WHO), more than one million people die yearly from car accidents. At the same time, between 20 and 50 million people suffer non-fatal injuries, which can also lead to permanent disabilities. Recently, vehicles equipped with SAE level 3, 4, and 5 Automated Driving System (ADS) have become one of the hottest topics in the automotive industry. In fact, their main expected benefit is that they could significantly reduce the number of road accidents. Their actual success will depend on how people react to their introduction: considering that the absence of the steering wheel and pedals is possible for levels 4 and 5, will people trust these advanced forms of driving automation? In this regard, the authors of this paper have proposed two different ideas. The first, which can be implemented during the proactive phase, consists in calibrating the driving algorithm of the vehicle based on the volunteers' reaction to simulations of common driving situations. The second, which can be implemented during the reactive phase, consists in dynamically adapting the driving style of the vehicle based on the average feeling inside the vehicle. Both of these ideas could help improve social acceptance and facilitate the transition to vehicles equipped with SAE level 4 and 5 ADS. © 2022 University of Split, FESB.

关键词： Face recognition

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Triplet losses-based matrix factorization for robust recommendations

Triplet losses-based matrix factorization for robust recomme...

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2022 International Conference on Information and Knowledge Management Workshops, CIKM-WS 2022

作者： Giobergia, Flavio Department of Control and Computer Engineering Politecnico di Torino Turin Italy

Much like other learning-based models, recommender systems can be affected by biases in the training data. While typical evaluation metrics (e.g. hit rate) are not concerned with them, some categories of final users are heavily affected by these biases. In this work, we propose using multiple triplet losses terms to extract meaningful and robust representations of users and items. We empirically evaluate the soundness of such representations through several "bias-aware" evaluation metrics, as well as in terms of stability to changes in the training set and agreement of the predictions variance w.r.t. that of each user. © 2022 Copyright for this paper by its authors.

关键词： Recommender systems

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Multi-Objective Complementary control

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IEEE Transactions on Automatic control 2024年第6期70卷 3556-3570页

作者： Xu, Jiapeng Chen, Xiang Tan, Ying Zhou, Kemin University of Windsor Department of Electrical and Computer Engineering 401 Sunset Avenue WindsorONN9B 3P4 Canada The University of Melbourne Department of Mechanical Engineering MelbourneVIC3010 Australia Nanjing University Center for Advanced Control and Smart Operations Jiangsu Suzhou215163 China

This paper proposes a novel multi-objective control framework for linear time-invariant systems in which performance and robustness can be achieved in a complementary way instead of a trade-off. In particular, a state-space solution is first established for a new stabilizing control structure consisting of two independently designed controllers coordinated with a Youla-type operator Q. It is then shown by performance analysis that these two independently designed controllers operate in a naturally complementary way for a tracking control system, due to the coordination function of Q driven by the residual signal of a Luenberger observer. Moreover, it is pointed out that Q could be further optimized with an additional gain factor to achieve improved performance, through a data-driven methodology for a measured cost function. © 1963-2012 IEEE.

关键词： Cost functions

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A Compaction Method for STLs for GPU in-field test

A Compaction Method for STLs for GPU in-field test

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2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022

作者： Guerrero-Balaguera, Juan-David Rodriguez Condia, Josie E. Reorda, Matteo Sonza Department of Control and Computer Engineering Politecnico di Torino Torino Italy

ISBN: (纸本)9783981926361

Nowadays, Graphics Processing Units (GPUs) are effective platforms for implementing complex algorithms (e.g., for Artificial Intelligence) in different domains (e.g., automotive and robotics), where massive parallelism and high computational effort are required. In some domains, strict safety-critical requirements exist, mandating the adoption of mechanisms to detect faults during the operational phases of a device. An effective test solution is based on Self-Test Libraries (STLs) aiming at testing devices functionally. This solution is frequently adopted for CPUs, but can also be used with GPUs. Nevertheless, the in-field constraints restrict the size and duration of acceptable STLs. This work proposes a method to automatically compact the test programs of a given STL targeting GPUs. The proposed method combines a multi-level abstraction analysis resorting to logic simulation to extract the microarchitectural operations triggered by the test program and the information about the thread-level activity of each instruction and to fault simulation to know its ability to propagate faults to an observable point. The main advantage of the proposed method is that it requires a single fault simulation to perform the compaction. The effectiveness of the proposed approach was evaluated, resorting to several test programs developed for an open-source GPU model (FlexGripPlus) compatible with NVIDIA GPUs. The results show that the method can compact test programs by up to 98.64% in code size and by up to 98.42% in terms of duration, with minimum effects on the achieved fault coverage. © 2022 EDAA.

关键词： Graphics processing unit

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Fractional Order Sliding Mode control with Fuzzy Parameter Tuning Applied to a SCARA Robot

Fractional Order Sliding Mode Control with Fuzzy Parameter T...

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2024 IEEE International Multi-Conference on Smart Systems and Green Process, IMC-SSGP 2024

作者： Znidi, Aicha Abdelhedi, Fatma Nouri, Ahmed Said Derbel, Nabil National Engineering School of Gabes University of Gabes Lab: Numerical Control of Industrial Processes Tunisia College of Engineering King Abdulaziz University Department of Electrical and Computer Engineering Jeddah22254 Saudi Arabia University of Sfax National Engineering School of Sfax Control & Energy Management Laboratory Tunisia

ISBN: (纸本)9798350378382

This paper presents the application of Fractional Order Sliding Mode control (FO-SMC) in order to achieve a robust motion trajectory regulation in dynamic robot systems. The proposed control strategy benefits of both advantages of fractional calculus and sliding mode control to upgrade the robustness and the performances of the controller. Moreover, the paper proposes to use a fuzzy tuning of sliding mode controller in order to satisfy the capabilities of the actuators. The stability of the closed loop system has been demonstrated using the Lyapunov theory. Simulation results demonstrate the efficiency of the proposed method achieving precise trajectory tracking and robust performances, it has been shown that fuzzy tuning of the sliding function parameters significantly reduces control variable peaks, making the control more suitable for actuator application. © 2024 IEEE.

关键词： Sliding mode control

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R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients 25th

R-CONV: An Analytical Approach for Efficient Data Reconstru...

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25th International Conference on Web Information Systems engineering, WISE 2024

作者： Eltaras, Tamer Ahmed Malluhi, Qutaibah Savino, Alessandro Carlo, Stefano Di Qayyum, Adnan Politecnico Di Torino Control and Computer Engineering Department Turin10129 Italy Qatar University Doha Qatar Information Technology University of the Punjab Lahore Pakistan

ISBN: (纸本)9789819605750

In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mechanism instead of exchanging raw data. However, recent studies show that private training data can be leaked through many gradient attacks. While previous analytical-based attacks have successfully reconstructed input data from fully connected layers, their effectiveness diminishes when applied to convolutional layers. This paper introduces an advanced data leakage method to efficiently exploit convolutional layers’ gradients. We present a surprising finding: even with non-fully invertible activation functions, such as ReLU, we can analytically reconstruct training samples from the gradients. To the best of our knowledge, this is the first analytical approach that successfully reconstructs convolutional layer inputs directly from the gradients, bypassing the need to reconstruct layers’ outputs. Prior research has mainly concentrated on the weight constraints of convolution layers, overlooking the significance of gradient constraints. Our findings demonstrate that existing analytical methods used to estimate the risk of gradient attacks lack accuracy. In some layers, attacks can be launched with less than 5 % of the reported constraints. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

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Performance Comparison of Kalman Filter and Extended Kalman Filter for Human Tracking and Prediction with Particle Swarm Optimisation 1

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Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2022

作者： Ajasa, Abiodun Afis Wahyudi, Nawawi Sophan Department of Control and Mechatronics Engineering School of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Department of Electronics and Computer Engineering Lagos State University Epe Campus Lagos Nigeria

ISBN: (数字)9789811987038

ISBN: (纸本)9789811987021

In the past two decades, object tracking has progressively advanced in computer vision and image processing. Tracking is a collection of algorithms that detect and track objects in a video sequence. This has resulted in a broad variety of applications, including surveillance, biometric identification or biological imaging, human-machine interactions, traffic control, and intelligent vehicles, all of which have benefited from tracking applications. This paper presents an IoT-based human tracking system that employs the Kalman filter (KF) and extended Kalman filter (EKF) algorithms. However, the performance of the filters is impacted by noise. Therefore, instead of manually tuning the KF and EKF’s process noise and measurement error, particle swarm optimisation (PSO) is utilised to optimise them. Four 2-dimensional models (namely conventional KF and EKF, optimised KF-PSO, and EKF-PSO) were developed and evaluated using ten distinct human sets of data containing 100 samples each. The object’s tracked positions are estimated in horizontal and vertical directions. Accuracy analysis was used to compare the four models’ quality performance. With an average mean square error of 5.99 mm (or 0.599%), the EKF-PSO model outperformed the conventional EKF model, which had an error of 7.18 mm (or 0.718%). A 17.2 mm (or 1.72%) error was found in the KF-PSO model. The last one is the traditional KF model, yielding an error of 22.4 mm (or 2.24%). As a result of its higher accuracy, the EKF-PSO model outperforms the other three models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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RECLAIM: Reverse engineering Classification Metrics 5

RECLAIM: Reverse Engineering Classification Metrics

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5th IEEE International Conference on Artificial Intelligence and Knowledge engineering, AIKE 2022

作者： Giobergia, Flavio Baralis, Elena Department of Control and Computer Engineering Politecnico di Torino Turin Italy

ISBN: (数字)9781665471206

ISBN: (纸本)9781665471206

Being able to compare machine learning models in terms of performance is a fundamental part of improving the state of the art in a field. However, there is a risk of getting locked into only using a few possibly not ideal performance metrics, only for comparability with earlier works. In this work, we explore the possibility of reconstructing new classification metrics starting from what little information may be available in existing works. We propose three approaches to reconstruct confusion matrices and, as a consequence, other classification metrics. We empirically verify the quality of the reconstructions, drawing conclusions on the usefulness that various classification metrics have for the reconstruction task. © 2022 IEEE.

关键词： Classification (of information)

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