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Publications - 6342

Collecting public transport passenger preference data online

Ágoston Winkler

Publication Name: Pollack Periodica

Publication Date: 2010-08-01

Volume: 5

Issue: 2

Page Range: 119-126

Description:

Passenger preference analysis is an important area of transport modeling. Passengers value public transport journeys in several ways: their opinion depends on many factors. The relative importance of these features is often characteristic to certain passenger groups. Knowing the distribution of the passengers and their preferences makes it possible to improve transport models and simulation techniques. The paper provides an overview of existing revealed and stated preference analysis methods and the results of some former surveys carried out in Gyor, Hungary. Then it proposes a new method for detecting passenger preferences by integrating data collection into an online journey planning service.

Open Access: Yes

DOI: 10.1556/Pollack.5.2010.2.12

Development of tire-road noise measuring system

No authors available

Publication Name: "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021

Publication Date: 2021-01-01

Volume:

Issue:

Page Range: Unknown

Description:

In vehicles there are 3 main noise sources: powertrain noise (e.g. engine, gear engagement or exhaust noise), aerodynamic noise (or wind noise), and the noise from the tire-road contact. The first two are traditionally in the primary focus of vehicle manufacturers, however, due to both the already made powerful developments and the spreading of electric vehicles, the rolling noise is gaining more and more attention during the vehicle development process. There are two major influencing factors of this noise source: tire (geometrical and material) characteristics and road (surface) characteristics. The separation of their contribution is not straightforward, investigated rarely, and the requirements of homologation standards do not expect it neither. However, if one would like to meet the new vehicle pass-by noise regulations, it is more and more inevitable to have a sophisticated break-down of rolling noise. A straightforward solution is the usage of a one-wheel testbench developed directly for acoustical measurements. Such design process is presented in this paper, where the most important requirements are: enabling the users to compare tires from acoustical aspect under totally objective conditions, modelling the typical conditions of vehicles and ensuring data for rolling noise simulations. One further functionality of the testbench is to reproduce the real rolling noise by mounting realistic road surface sections onto the superficies.

Open Access: No

DOI: DOI not available

NVH characterization of a ladder-like welded structure using finite element analysis and experimental method

No authors available

Publication Name: "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021

Publication Date: 2021-01-01

Volume:

Issue:

Page Range: Unknown

Description:

In vehicle industry, considering a chassis, the evaluation of the experimental modal analysis is usually done up to 80 Hz, since the modal density is increasing with frequency. In addition, the deviation between the measurement and simulation is getting more significant at higher frequencies. The purpose of this study is to extend the usable test range and to improve the accuracy of the results both in case of measurement and FE (Finite Element) simulation. Present paper introduces the vibrational characterization of a ladder-like welded structure. This test case represents a simplified model of a vehicle's frame consisting of rod-like elements with high stiffness, connected to each other in welded junctions. Although such simulational and experimental modal analysis procedures are widely used in practice, results can significantly change according to the used method and the fine-tuning of parameters. For this reason, a further goal is to find the best measurement and simulation technique for the given structure. During the FE analysis different modelling solutions and element types were compared. In order to discover the effect of the manufacturing inaccuracies, the same measurements were performed on two distinct, but theoretically identical samples. The influence of the experimental setup (e.g. excitation and fixing method) and settings were investigated as well. Finally, FE simulation and experimental results are compared using Frequency Response Functions.

Open Access: No

DOI: DOI not available

Sustainability Challenges of the Interior Design Supply Chain Processes—A Mixed Method Approach with Critical Incident Technique

Boglárka Eisingerné Balassa László Buics Antónia Payer Boglárka Eisingerné Balassa

Publication Name: Sustainability Switzerland

Publication Date: 2026-04-01

Volume: 18

Issue: 7

Page Range: Unknown

Description:

Environmental awareness is playing an increasingly important role in all segments of the world, with sustainability and recycling being key elements. The aim of the research is to examine the challenges companies face in terms of sustainability when implementing procurement and supply chain management processes related to interior design. The research focused on four main questions: how procurement and supply chain management are reflected in construction processes, what challenges these processes face, and how they can influence the sustainable use of materials in architectural supply chains. The literature review was based on a systematic literature review using the PRISMA screening process and the PEO framework, utilizing the SCOPUS database and processing 70 scientific articles following the selection process. During the research, I also used the Critical Incident Technique (CIT), in which I asked interior designers about their positive and negative experiences with the procurement of sustainable materials and supply chain management processes. The methodology thus provided deeper insight into the decision-making processes of professionals, where sustainability conflicts with economic and operational realities. The qualitative research was supplemented by a questionnaire survey, which aimed to assess sustainability, its prevalence, and professional obstacles. The results of the research show that this topic is a research gap, but the openness of professionals shows a positive trend. Companies face numerous challenges related to new technologies and environmental awareness in order to create or transform well-functioning supply chain management processes.

Open Access: Yes

DOI: 10.3390/su18073169

Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment

Bálint Kővári Bálint Pelenczei István Gellért Knáb László Palkovics Tamás Bécsi

Publication Name: Proceedings of the International Conference on Informatics in Control Automation and Robotics

Publication Date: 2024-01-01

Volume: 2

Issue: Unknown

Page Range: 15-25

Description:

During the development of modern cities, there is a strong demand articulated for the sustainability of progress. Since transportation is one of the main contributors to greenhouse gas emissions, the modernization and efficiency of transportation are key issues in the development of livable cities. Increasing the number of lanes does not always provide a solution and often is not feasible for various reasons. In such cases, Intelligent Transportation Systems are applied primarily in urban environments, mostly in the form of Traffic Signal Control. The majority of modern cities already employ adaptive traffic signals, but these largely utilize rule-based algorithms. Due to the stochastic nature of traffic, there arises a demand for cognitive decision-making that enables event-driven characteristics with the assistance of machine learning algorithms. While there are existing solutions utilizing Reinforcement Learning to address the problem, further advancements can be achieved in various areas. This paper presents a solution that not only reduces emissions and enhances network throughput but also ensures universal applicability regardless of network size, owing to individually tailored state representation and rewards.

Open Access: Yes

DOI: 10.5220/0012920800003822

Multiple hypothesis testing by unpaired samples for indexing changepoints in a road-induced vibration signal

No authors available

Publication Name: UPB Scientific Bulletin, Series D: Mechanical Engineering

Publication Date: 2021-01-01

Volume: 83

Issue: 3

Page Range: 17-28

Description:

Several methods have been developed for simulating non-stationary and non-Gaussian processes in packaging vibration testing, encompassing unique methods for the segmentation of road vehicle vibrations. However, only a limited number of those consider spectral characteristics. Thus, the current paper introduces a novel segmentation algorithm conducted in the time-frequency domain. The spectral characteristics obtained by short-time Fourier transform are compared by multiple hypothesis tests to find changepoints in a wheeled vehicle vibration sample. Different post hoc procedures are introduced against the inflating Type I. error.

Open Access: No

DOI: DOI not available

Unveiling the blueprint for rural digital prosperity: A comparative examination of top 100 digital counties in China

Xin Zhao Yunqing Liu Zekun Dai

Publication Name: Technological Forecasting and Social Change

Publication Date: 2024-11-01

Volume: 208

Issue: Unknown

Page Range: Unknown

Description:

The current research focus in the field of digital rural development revolves around achieving high-quality digital rural construction and addressing the digital divide in different regions. This is particularly significant in China, where the issue has grown increasingly prominent. To delineate the pathway for rural digitalization and bridge the digital divide, we have constructed a Technology-Organization-Environment (TOE) framework, drawing upon configuration theory. Utilizing data from China's Top 100 Digital Rural Counties and applying the methods of Necessary Condition Analysis (NCA) and Qualitative Comparative Analysis (QCA), we identified the configurational paths necessary to achieve high-quality digital rural construction and discerned the nature of the digital divide across various regions. The findings show that: 1) none of the single antecedent conditions is a necessary condition for achieving a high level of digital rural construction. 2) There are four configurational paths for high-quality digital rural construction: technology-organization combination, technology-organization optimization, technology-organization symbiosis, and environmental integration. 3) Further analyses show that the configurational path for high-quality rural digitalization in the southeast coastal areas is organization-led, multi-coordinated, and technology-environment driven. In contrast, for inland provinces, it is technology-led, technology-innovation, and technology-external pressure. Moreover, a comparative analysis of regional differences shows that the high-quality digital rural construction in the southeast coastal provinces presents a well-rounded development type, whereas for the inland provinces it demonstrates a development mode of technology-driven under government leadership. The findings provide valuable insights for rural digitalization research and shed light on bridging the digital divide.

Open Access: Yes

DOI: 10.1016/j.techfore.2024.123625

Weed species composition of small-scale farmlands bears a strong crop-related and environmental signature

A. M. Csergő D. Türei Gyula Pinke A. J. Kovács K. Nagy A. Lengyel

Publication Name: Weed Research

Publication Date: 2018-02-01

Volume: 58

Issue: 1

Page Range: 46-56

Description:

Weed species loss due to intensive agricultural land use has raised the need to understand how traditional cropland management has sustained a diverse weed flora. We evaluated to what extent cultivation practices and environmental conditions affect the weed species composition of a small-scale farmland mosaic in Central Transylvania (Romania). We recorded the abundance of weed species and 28 environmental, management and site context variables in 299 fields of maize, cereal and stubble. Using redundancy analysis, we revealed 22 variables with significant net effects, which explained 19.2% of the total variation in species composition. Cropland type had the most pronounced effect on weed composition with a clear distinction between cereal crops, cereal stubble and maize crops. Beyond these differences, the environmental context of croplands was a major driver of weed composition, with significant effects of geographic position, altitude, soil parameters (soil pH, texture, salt and humus content, CaCO3, P2O5, K2O, Na and Mg), as well as plot location (edge vs. core position) and surrounding habitat types (arable field, road margin, meadow, fallow, ditch). Performing a variation partitioning for the cropland types one by one, the environmental variables explained most of the variance compared with crop management. In contrast, when all sites were combined across different cropland types, the crop-specific factors were more important in explaining variance in weed community composition.

Open Access: Yes

DOI: 10.1111/wre.12281

Regenerative Braking Optimization of Lightweight Vehicle based on Vehicle Model

Péter Korös Zoltan Pusztai Ferenc Szauter Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2022-01-01

Volume: 94

Issue: Unknown

Page Range: 601-606

Description:

The usage of regenerative braking highly improves the overall energy efficiency of electric vehicles. In this paper, the model-based optimization of the torque profile is determined in the regenerative braking process of a lightweight electric vehicle. For the optimization, measurement-based vehicle model was used, where the extended powertrain model was set up, including the regenerative operation. The whole model was elaborated in MATLAB Simulink environment, where genetic algorithm (GA) was applied for the optimization. The resulted optimized braking curve was applied to control the experimental vehicle and field test were made to validate the optimization results. The results of the presented work can be directly used to further improve the drive cycle efficiency of the urban electric vehicles. The application of optimized driving strategies, including regenerative braking, could contribute to further energy and pollution reduction in urban transportation.

Open Access: Yes

DOI: 10.3303/CET2294100