@article{MTMT:34763427,
	title = {Measurement of Accident Risk and a Case Study from Hungary},
	url = {https://m2.mtmt.hu/api/publication/34763427},
	author = {Ötvös, Viktória and Török, Ádám},
	doi = {10.3311/PPtr.22731},
	journal-iso = {PERIOD POLYTECH TRANSP ENG},
	journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING},
	volume = {52},
	unique-id = {34763427},
	issn = {0303-7800},
	abstract = {For the cost-benefit analysis of road safety measures, it is essential to estimate the national value of statistical life. By calculating the updated values, it is possible to assess the aggregate national value of statistical life for road traffic crashes, thereby also characterizing the road safety situation in the country. It is important that the values set and the methods used are compatible with the practices of the European Member States. It must be stressed that updating the values is of major importance both for the costbenefit analysis of the various road safety measures and for raising public and decision-makers' awareness of the huge losses. The full identification and use of loss figures is an important element of road safety. In this article we present possible methods for estimating the value of statistical life. © 2024 Budapest University of Technology and Economics. All rights reserved.},
	keywords = {Hungary; risk assessment; decision making; cost benefit analysis; Accident prevention; Roads and streets; Motor transportation; Measurements of; road safety; road safety; Value of statistical life; accident risks; Case-studies; accident risk; road crashes; Highway accidents; Road crash; Cost-benefits analysis; National values; Road safety measure; Value of statistical lives},
	year = {2024},
	eissn = {1587-3811},
	pages = {159-165},
	orcid-numbers = {Ötvös, Viktória/0009-0002-3411-018X; Török, Ádám/0000-0001-6727-1540}
}

@mastersthesis{MTMT:34741141,
	title = {A vasúti infrastruktúra komplex védelmi célú felkészítésének innovatív módszerei},
	url = {https://m2.mtmt.hu/api/publication/34741141},
	author = {Lévai, Zsolt},
	unique-id = {34741141},
	keywords = {Műszaki tudományok; vasút; innovatív módszerek; vasúti infrastruktúra},
	year = {2024},
	orcid-numbers = {Lévai, Zsolt/0000-0003-2410-1730}
}

@article{MTMT:34555946,
	title = {Szabálykövetés és közlekedésbiztonsági kultúra elméletek és empíria tükrében},
	url = {https://m2.mtmt.hu/api/publication/34555946},
	author = {Bauer, Béla and Déri, András},
	journal-iso = {KORUNK (KOLOZSVÁR)},
	journal = {KORUNK (KOLOZSVÁR)},
	volume = {III. folyam},
	unique-id = {34555946},
	issn = {1222-8338},
	year = {2024},
	eissn = {9008-9456},
	pages = {68-81},
	orcid-numbers = {Déri, András/0000-0001-6716-5895}
}

@article{MTMT:34523517,
	title = {Issues for the Introduction of Hydrogen-Powered Rail Vehicles on Hungarian Regional Railway Lines Through an Example from Germany},
	url = {https://m2.mtmt.hu/api/publication/34523517},
	author = {Farkas, Bálint and Köller, László and Kövesdi, István},
	doi = {10.1016/j.trpro.2024.01.005},
	journal-iso = {TRANSP RES PROCEDIA},
	journal = {TRANSPORTATION RESEARCH PROCEDIA},
	volume = {77},
	unique-id = {34523517},
	issn = {2352-1465},
	year = {2024},
	eissn = {2352-1457},
	pages = {35-42}
}

@article{MTMT:34498267,
	title = {Exploring the Factors Influencing Traffic Accidents: An Analysis of Black Spots and Decision Tree for Injury Severity},
	url = {https://m2.mtmt.hu/api/publication/34498267},
	author = {ABDULLAH, PIRES and Sipos, Tibor},
	doi = {10.3311/PPtr.22392},
	journal-iso = {PERIOD POLYTECH TRANSP ENG},
	journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING},
	volume = {52},
	unique-id = {34498267},
	issn = {0303-7800},
	abstract = {This research aimed to examine the spatial distribution of road traffic accidents in Budapest, Hungary. The primary objective was to identify the factors associated with traffic accidents on the city's transportation network and to determine the locations of the most frequent accidents during peak and off-peak hours. A quantitative methodology was employed in this study, utilizing a dataset of recent accidents that occurred between 2019 and 2021, classified into peak and off-peak incidents. The data was analyzed using Python software and Quantum Geographic Information System (QGIS) tools for big data analytics. These programs enabled the creation of spatial maps of the study area and the identification of accident spots based on latitude and longitude information. A decision tree classification approach was used in the machine-learning method implemented with Python software. Additionally, the dataset file was uploaded to QGIS, which applied the heatmap (Kernel Density Estimation) algorithm to identify accident hotspots. The study findings revealed that the city center was the most common location for accidents overall, with peak and off-peak times, lanes, and days of the week investigated as potential contributing factors. The target variable was the number of accidents involving serious and minor injuries, which were found to be significantly associated with the identified accidents in this study. © 2024 Budapest University of Technology and Economics. All rights reserved.},
	keywords = {Hungary; computer software; Decision Trees; machine learning; machine learning; Budapest; Roads and streets; Decision tree; Machine-learning; road traffic accidents; High level languages; Motor transportation; Accident analysis; injury severity; Data analytics; road safety; road safety; Primary objective; Black spot; Highway accidents; black spots; traffic accident analysis; Traffic accident analyse},
	year = {2024},
	eissn = {1587-3811},
	pages = {33-39}
}

@article{MTMT:34288617,
	title = {Optimizing asphalt foaming using neural network},
	url = {https://m2.mtmt.hu/api/publication/34288617},
	author = {Bayagoob, Ali Ahmed Saleh and Gáspár, László},
	doi = {10.1556/606.2023.00896},
	journal-iso = {POLLACK PERIODICA},
	journal = {POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES},
	volume = {19},
	unique-id = {34288617},
	issn = {1788-1994},
	abstract = {This study uses a three-layer backpropagation neural network combined with particle swarm optimization to control the foamed bitumen in cold recycling technology. The foaming process of bitumen is non-linear and depends on dynamic temperature. By developing a neural network model, this study effectively captures the complex relationships between temperature, water content, air pressure, and the expansion ratio and half-life of foamed bitumen. The integration of particle swarm optimization enhances the accuracy and convergence of the neural network model by optimizing the initial weights. This optimization process improves the model's ability to predict and control the quality of foamed bitumen accurately. It serves as a valuable tool for the rapid development of high-quality cold asphalt design.},
	year = {2024},
	eissn = {1788-3911},
	pages = {130-136}
}

@article{MTMT:34556478,
	title = {Korszakváltás a közlekedésben? A pandémiás helyzet hatásai},
	url = {https://m2.mtmt.hu/api/publication/34556478},
	author = {Bauer, Béla and Déri, András and Kovács, Tamás and Miskolczi, Márk},
	doi = {10.55348/KM.44},
	journal-iso = {KÖZL MOBIL},
	journal = {KÖZLEKEDÉS ÉS MOBILITÁS},
	volume = {2},
	unique-id = {34556478},
	abstract = {Tanulmányunk  a  pandémiás  helyzet  közlekedésre  és  –  részben  –  a  turizmusra  gyakorolt  hatásait  a  Közlekedéstudományi Intézet Stratégiai és Koordinációs Központjának 2020-as kvalitatív és kvantitatív, és 2021-es kvantitatív kutatásának eredményei alapján elemzi, elsősorban problémafelvető, leíró jelleggel. Bemutatjuk, hogy 2020-ban az óvatosság határozta meg leginkább a közlekedési módok választásával kapcsolatos attitűdöket, és azt,  hogy  a  fiatalok  kisebb  arányban  tettek  le  az  autós  közlekedésről,  mint  az  idősek,  míg  a  kerékpárhasználók  aránya csak az idősek körében nem nőtt jelentősebben},
	year = {2023},
	eissn = {2939-7057},
	pages = {70-78},
	orcid-numbers = {Déri, András/0000-0001-6716-5895}
}

@article{MTMT:34554389,
	title = {Traffic Accidents Analysis Using QGIS and Binary Decision Tree},
	url = {https://m2.mtmt.hu/api/publication/34554389},
	author = {ABDULLAH, PIRES and Sipos, Tibor},
	doi = {10.1016/j.trpro.2023.11.640},
	journal-iso = {TRANSP RES PROCEDIA},
	journal = {TRANSPORTATION RESEARCH PROCEDIA},
	volume = {72},
	unique-id = {34554389},
	issn = {2352-1465},
	abstract = {Traffic accident data includes many factors in order to be investigated. The main aim of this study is to analyze traffic accidents in terms of the spatial location in which they have occurred. Moreover, to identify the main socioeconomic factors that lead to frequent accidents by drivers. The questionnaire included items related to the location of the accident and the number of accidents a driver has had in a 10-year period. The study took place in the city of Duhok in the Kurdistan Region of Iraq. The study's findings showed that the city's center was the main area of accidents in general, while severe crashes had different "black spots" across the city's road network. Furthermore, the Decision Tree's classification of the driver's multiple accidents placed the level of education at the top, followed by gender and age, respectively. © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)},
	keywords = {machine learning; black spot analysis; decision tree clasifier; trafffic accidents},
	year = {2023},
	eissn = {2352-1457},
	pages = {1677-1684}
}

@article{MTMT:34554386,
	title = {The real value of cycling},
	url = {https://m2.mtmt.hu/api/publication/34554386},
	author = {Tordai, Dániel and Munkácsy, András and Andrejszki, Tamás and Hauger, G.},
	doi = {10.1016/j.trpro.2023.11.835},
	journal-iso = {TRANSP RES PROCEDIA},
	journal = {TRANSPORTATION RESEARCH PROCEDIA},
	volume = {72},
	unique-id = {34554386},
	issn = {2352-1465},
	abstract = {In recent decades, there has been significant scientific effort to explore and measure the different benefits of cycling. Thanks to the research done in this field, nowadays we have extensive knowledge about the contributions of cycling to the reduction of transportation related air pollution, health related benefits and other socio-economic advantages. Despite the scientific evidence, methodologies for cost-benefit analysis (CBA) have not been updated to take into account all benefits of cycling when making decisions on the realization of bicycle infrastructure projects. By omitting these specific benefits, policy and decision-makers might underestimate the overall societal benefit of these projects. This contribution introduces an update of the CBA methodology for cycling infrastructure projects by looking at the scientific evidence on the different benefits of cycling. © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)},
	keywords = {Cost-Benefit Analysis; cycling; health benefits; Economic appraisal},
	year = {2023},
	eissn = {2352-1457},
	pages = {2896-2903},
	orcid-numbers = {Munkácsy, András/0000-0002-8540-0585}
}

@article{MTMT:34528636,
	title = {Közlekedés és a mobilkommunikáció kapcsolata},
	url = {https://m2.mtmt.hu/api/publication/34528636},
	author = {Kún, Gergely Ottó and Wührl, Tibor},
	doi = {10.55348/KM.43},
	journal-iso = {KÖZL MOBIL},
	journal = {KÖZLEKEDÉS ÉS MOBILITÁS},
	volume = {2},
	unique-id = {34528636},
	year = {2023},
	eissn = {2939-7057},
	pages = {98-109},
	orcid-numbers = {Kún, Gergely Ottó/0000-0003-0572-5177; Wührl, Tibor/0000-0002-7522-3511}
}