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Found 6334 publications

Review of Vehicle Motion Planning and Control Techniques to Reproduce Human-like Curve-Driving Behavior †

Ernö Horváth Gergo Igneczi

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Among the many technological challenges of automated driving development, there is an increasing focus on the behavior of these systems. Behavior is usually associated with multiple layers of control. In this paper, we focus on motion planning and control, and how these layers can be tailored to produce different behavior. Our review aims to collect and judge the most used techniques in the field of path planning and control. It has been revealed that model predictive planning and control provides high flexibility, with the cost of high computational capacity. There are simpler algorithms, such as pure-pursuit and Stanley controllers, however, these have very few parameters, therefore, the number of possible behavior patterns is limited.

Open Access: Yes

DOI: 10.3390/engproc2024079020

Linear Quadratic Robust Control of Synchronous Reluctance Motor †

Zoltan Nemeth Dávid Gábor Bányai

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Synchronous reluctance motors (SynRMs) play a key role in modern vehicles as they do not require permanent magnets and sliding brushes, reducing maintenance requirements and increasing reliability. My research focused on the development of robust torque control for SynRM. In the simulations, I compared the linear quadratic (LQ) controller with the conventional proportional–integral (PI) controller. To apply the LQ control method, I converted the nonlinear motor model into a linear one. We expect the results of this research to show that the LQ controller provides faster and more robust performance than the PI controller. LQ control can provide faster response times and a more stable operation, which are particularly important under dynamic vehicle operating conditions. Although LQ control is more computationally intensive and takes longer to fine tune, the results show that it results in a better and more stable control system. Such benefits are significant in dynamic vehicle operating conditions where fast and reliable torque control is essential. Overall, it can be concluded that advanced control techniques such as LQ can contribute to increasing the efficiency and performance of synchronous reluctance motors in the automotive industry, thus contributing to the development of sustainable and reliable vehicles.

Open Access: Yes

DOI: 10.3390/engproc2024079003

Public Trust in National Security Institutions as a Key to Sustainable Security

Boris Bučko Roland Kelemen Ádám Farkas Zayira Jordan

Publication Name: Connections

Publication Date: 2024-01-01

Volume: 23

Issue: 4

Page Range: 49-62

Description:

Public trust is essential for credible and consistent state security policy, defense operations, and communications. In the twenty-first cen-tury, the social context of security has expanded significantly, necessitating that society acquire credible and up-to-date security knowledge. This arti-cle examines the relationship between the UN Sustainable Development Goals (SDGs) and national security actors within the rule-of-law frame-work, focusing on how the trust factor influences goal fulfilment. The study uses a normative analysis of sustainable development goals, emphasizing the social pillar and its connections to national security institutions. It high-lights the importance of continuous, trust-based communication between the public and social partners, reflecting transparency and accountability. The integration of sustainability into national security strategies—particu-larly concerning climate change and energy security—is explored through the strategies of NATO member states. The article also discusses the mu-tual reinforcement between social stability, economic stability, and na-tional security, emphasizing that achieving the SDGs enhances national se-curity, and vice versa. This comprehensive approach fosters effective, long-term solutions by integrating the SDGs into the national security frame-work, ultimately promoting social trust and stability.

Open Access: Yes

DOI: 10.11610/Connections.23.4.03

Systematic Method of Retrofitting Wastewater Transportation Systems for Enhanced Reliability

Ákos Orosz Kirti M. Yenkie Jean Pimentel Andres Castellar-Freile

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 1075-1080

Description:

While the treatment of wastewater is an important issue that received significant attention in the past decades, improving the related technologies is only one part of a more complex task. Domestic wastewater is usually transported via the city's sewer system, and in many places, it is combined with rainwater. This means that disturbances, such as heavy rainfall or failures in the pipeline system, can lead to floods of polluted wastewater. Thus, it is important to design such transportation systems to be reliable. This work presents a methodology for generating several potential extensions to retrofit an existing water transportation network and increase its reliability. Reliability and feasibility evaluation is performed via the P-graph framework, after which the nondominated networks are collected. Results of the presented case study show that reliability can be increased 3 times by adding only some of the possible extensions to the network. The methodology proposed analysed 512 plausible retrofitting alternatives, from which 20 are non-dominated networks. This range of alternatives provides designers with insightful information to decrease water pollution and the vulnerability of wastewater systems.

Open Access: Yes

DOI: 10.3303/CET24114180

Online content analysis between bike related attributes and review content in case of Budapest

Marcell Kupi Ferenc Darabos Agnes Horvath

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 9

Page Range: Unknown

Description:

Active tourism, in our case bicycle tourism has been a proof of health benefits as well as responsible, sustainable way of transport. As tourist move around to see sights as well as gather experiences, this is a way to be efficient and green effective. This study aims to investigate bicycle tourism in cities, especially focusing on decision making as a bicycle tourist, when it comes to online bookings system, focusing on choosing a hotel. Method: we have used the several methods to analyze the reviews and ratings of hotels on Booking and TripAdvisor. We used hotels from Budapest only, focusing on bicycle tourism within the city. We investigated if there was any demand for bike related services when it comes to booking online. Our results show that there is significant relationship between choosing a hotel and the relevance of bike related services of the accommodation; however, it might not be the primarily decision making, and also following our hypothesis, online travel agents do not offer full package for bikers.

Open Access: Yes

DOI: 10.24294/jipd.v8i9.5078

A LiDAR-based approach to autonomous racing with model-free reinforcement learning

Gergely Bári Gergely Hajgató Máté Hell Ármin Bogár-Németh

Publication Name: IEEE Intelligent Vehicles Symposium Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 258-263

Description:

This paper explores the use of reinforcement learning (RL) in the context of autonomous vehicle racing, specifically focusing on the F1TENTH simulation platform. While commercial autonomous driving often employs classic control algorithms, the state-of-the-art solutions, including those in the F1TENTH domain, increasingly rely on RL. Notably, RL-based approaches have shown superhuman performance in simulated environments, as seen in drone racing and the recent achievement by Sony in autonomous racing. In this paper we propose a novel LiDAR-only observation for learning vehicle dynamics, and test it with a widely accessible model-free RL method. The trained agent demonstrates the capability to transfer its driving skills to previously unseen tracks. Additionally, the paper provides recommendations for selecting hyperparameters, contributing valuable insights for newcomers to the field of autonomous racing.

Open Access: Yes

DOI: 10.1109/IV55156.2024.10588613

Three models of sovereignty-protection

Péter Smuk Tamara Álvarez Robles

Publication Name: Rechtskultur

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 515-533

Description:

This paper discusses three approaches of what we call sovereignty and the protection thereof. The classical concept of sovereignty needs a multi-layered analysis in order to understand recent developments in different legal-political discourses and narratives. We suggest to take into consideration the following layers that are interconnected in various ways. The first aspect is the classical sovereignty concept of the 19th–20th centuries, which, after the consolidation of nation states, acts against attacks or interventions targeting the constituent elements and functions of the state (territory, population, legitimate government-jurisdiction). This model uses the mechanisms of the United Nations in addition to the classical nation-state defence and diplomatic instruments. Another layer notes the developments in Euro-Atlantic integration: recently we observe the sovereignty disputes within the European Union fuelled by the identity-discourse. The third dimension understanding sovereignty disputes is to characterise operations in cyberspace in the 21st century, targeting not only defence and critical infrastructure, but also democratic discourses. In this paper, we will review the main features of these sovereignty layers, with a particular focus on the lessons to be drawn from supranational and cyberspace disputes. The EU Member States’ toolbox, together with recent developments in sovereignty, identity and democracy protection, will be assessed in the light of European constitutional standards.

Open Access: Yes

DOI: DOI not available

Predictive Maintenance and Predictive Repair of Road Vehicles—Opportunities, Limitations and Practical Applications †

István Lakatos Jozsef Nagy

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

With drastic increases in the complexity of road vehicles, increasing environmental and cost pressures have led to the obsolescence of previous fixed-schedule maintenance systems. The aerospace industry, following the road vehicle industry, is also beginning to use the predictive maintenance method increasingly widely. A possible next step for critical breakdowns could be a predictive service. While preventive maintenance is able to be used more frequently, the possibility of preventive repair is also limited to the fault symptoms, and is unsuitable for preventing fast-running breakdowns. Due to the current state of technological development in this area, it will take a few more years for lower-priced cars to catch up to the sensor and data structures of current premium-series vehicles, such that the mass use of these methods in road vehicles can become widespread.

Open Access: Yes

DOI: 10.3390/engproc2024079027

Comparative Analysis of Driver Interface Systems in Ultra-Efficient Lightweight Electric Vehicles: a Study on Energy Efficiency and Driver Focus

Zoltan Pusztai Viktor Nagy István Kecskeméti

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 997-1002

Description:

This paper presents a comprehensive examination of two driver interface systems within the context of Ultra-Efficient Lightweight Electric Vehicles (ULEV) aimed at enhancing energy efficiency and optimizing driver focus. The vehicle employs two interface systems: a 10.1-inch touchscreen tablet with a custom Graphical User interface (GUI) that offers comprehensive data management, diagnostics, and control functionalities and a 5.5-inch wide, passive OLED display designed for ultra-low energy consumption. The tablet's advanced features come with the potential for driver distraction. In contrast, the OLED display takes a minimalist approach by presenting only critical information. This enhances driving focus and efficiency. This research utilizes a wearable eye-tracking device to measure drivers' focus and distraction levels while also logging driving performance and energy consumption data. The aim is to determine the most effective interface for promoting efficient driving practices. The study achieved significant insights into the balancing of information accessibility and cognitive load in driving while also optimizing energy efficiency. The results demonstrate the advantages of assistant systems, which reduce energy consumption by 11-15%, provide concentrated information projection, and minimize driver distraction.

Open Access: Yes

DOI: 10.3303/CET24114167