@book{MTMT:34794830,
	title = {Active Anti-Roll Bar Control Design for Heavy Vehicles},
	url = {https://m2.mtmt.hu/api/publication/34794830},
	isbn = {9789819713585},
	author = {Vu, V T and Sename, O and Gáspár, Péter and Trong, T D},
	doi = {10.1007/978-981-97-1359-2},
	publisher = {Springer Nature Singapore Pte Ltd},
	unique-id = {34794830},
	year = {2024},
	orcid-numbers = {Gáspár, Péter/0000-0003-3388-1724}
}

@article{MTMT:34788066,
	title = {Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams},
	url = {https://m2.mtmt.hu/api/publication/34788066},
	author = {Tesone, Alessio and Tettamanti, Tamás and Varga, Balázs and Bifulco, Gennaro Nicola and Pariota, Luigi},
	doi = {10.1109/ACCESS.2024.3387664},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {12},
	unique-id = {34788066},
	issn = {2169-3536},
	abstract = {Increasing motorization represents a severe problem worldwide, also affecting the emission levels of the road network. Accordingly, congestion management has obtained growing importance because of its strong economic, social, and environmental implications. Macroscopic Fundamental Diagram (MFD) based traffic control is a popular and efficient approach in this scientific field. In our research work the urban network has been divided into homogeneous regions, each of them characterized by its own MFD, and they are regulated using a network-level control scheme. The proposed Multiobjective Model Predictive Control (M-MPC) takes into account the congestion and <italic>CO</italic>2 emission levels of the urban network, modelled by the emerging Emission Macroscopic Fundamental Diagram (e-MFD). The applied strategy has been demonstrated in a realistic traffic scenario (Luxembourg City) using validated microscopic traffic simulation. According to the introduced multiobjective approach, the control method can better exploit the road network capacity while efficiently reducing traffic-induced emissions. Authors},
	year = {2024},
	eissn = {2169-3536},
	pages = {52583-52602},
	orcid-numbers = {Tesone, Alessio/0000-0002-8093-8175; Tettamanti, Tamás/0000-0002-8934-3653; Varga, Balázs/0000-0002-2945-7974; Pariota, Luigi/0000-0001-9173-666X}
}

@article{MTMT:34786414,
	title = {Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals},
	url = {https://m2.mtmt.hu/api/publication/34786414},
	author = {Dózsa, Tamás and Jurdana, V and Segota, S B and Volk, János and Radó, János and Soumelidis, Alexandros and Kovács, Péter},
	doi = {10.1109/ACCESS.2024.3382931},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {12},
	unique-id = {34786414},
	issn = {2169-3536},
	year = {2024},
	eissn = {2169-3536},
	pages = {53361-53372},
	orcid-numbers = {Volk, János/0000-0003-3633-6190; Soumelidis, Alexandros/0000-0002-0067-7746; Kovács, Péter/0000-0002-0772-9721}
}

@article{MTMT:34779718,
	title = {Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning},
	url = {https://m2.mtmt.hu/api/publication/34779718},
	author = {Liu, Y and Wang, P and Lee, C and Tóth, Roland},
	doi = {10.1109/TAES.2024.3361886},
	journal-iso = {IEEE T AERO ELEC SYS},
	journal = {IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS},
	unique-id = {34779718},
	issn = {0018-9251},
	year = {2024},
	eissn = {1557-9603},
	pages = {1-17}
}

@article{MTMT:34758553,
	title = {Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning},
	url = {https://m2.mtmt.hu/api/publication/34758553},
	author = {Dózsa, Tamás and Őri, P and Szabari, M and Simonyi, Ernő and Soumelidis, Alexandros and Lakatos, István},
	doi = {10.3390/machines12040214},
	journal-iso = {MACHINES},
	journal = {MACHINES},
	volume = {12},
	unique-id = {34758553},
	abstract = {In this work we propose proof-of-concept methods to detect malfunctions of the braking system in passenger vehicles. In particular, we investigate the problem of detecting deformations of the brake disc based on data recorded by acceleration sensors mounted on the suspension of the vehicle. Our core hypothesis is that these signals contain vibrations caused by brake disc deformation. Since faults of this kind are typically monitored by the driver of the vehicle, the development of automatic fault-detection systems becomes more important with the rise of autonomous driving. In addition, the new brake boosters separate the brake pedal from the hydraulic system which results in less significant effects on the brake pedal force. Our paper offers two important contributions. Firstly, we provide a detailed description of our novel measurement scheme, the type and placement of the used sensors, signal acquisition and data characteristics. Then, in the second part of our paper we detail mathematically justified signal representations and different algorithms to distinguish between deformed and normal brake discs. For the proper understanding of the phenomenon, different brake discs were used with measured runout values. Since, in addition to brake disc deformation, the vibrations recorded by our accelerometers are nonlinearly dependent on a number of factors (such as the velocity, suspension, tire pressure, etc.), data-driven models are considered. Through experiments, we show that the proposed methods can be used to recognize faults in the braking system caused by brake disc deformation.},
	year = {2024},
	eissn = {2075-1702},
	orcid-numbers = {Őri, P/0000-0002-4706-6432; Soumelidis, Alexandros/0000-0002-0067-7746; Lakatos, István/0000-0002-3855-7379}
}

@inproceedings{MTMT:34754671,
	title = {Modeling CT images in the presence of beam hardening​},
	url = {https://m2.mtmt.hu/api/publication/34754671},
	author = {Dózsa, Tamás and Fridli, Sándor and Kovács, Péter},
	booktitle = {Proceedings of the Workshop Biosignal 2024},
	unique-id = {34754671},
	year = {2024},
	pages = {1-5},
	orcid-numbers = {Fridli, Sándor/0000-0003-3531-2576; Kovács, Péter/0000-0002-0772-9721}
}

@article{MTMT:34687431,
	title = {Choosing Routes in Urban Areas that are Robust Against Minor Nonrecurring Traffic Incidents},
	url = {https://m2.mtmt.hu/api/publication/34687431},
	author = {Fazekas, Zoltán and Obaid, Mohammed and Gáspár, Péter},
	doi = {10.3311/PPtr.23792},
	journal-iso = {PERIOD POLYTECH TRANSP ENG},
	journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING},
	volume = {52},
	unique-id = {34687431},
	issn = {0303-7800},
	abstract = {The paper looks at certain vehicle-level re-routing issues within urban road networks, and related network-level traffic management issues. These arise mostly when the traffic along a route of significance is hindered, slowed down, or even blocked because of some – possibly minor – unexpected, nonrecurring traffic incident at a sensitive road location, or road section. Considerations for planning routes in urban areas – routes that are in some sense robust against such incidents – are presented herein. Also, the on–the–spot detection of traffic queues by an ego-vehicle – relying on data streams from on-board visual line-of-sight (LoS) exteroceptive sensors watching, scanning and monitoring the ego-vehicle's road environment, and by some on-board dedicated real-time detection systems processing and analyzing the incoming data streams – is touched upon. However, this traffic congestion avoidance and mitigating approach – effectuated either by individual autonomous vehicles, or by human drivers – presumes availability of alternative routes, which is not the case for a good portion of the route considered. A route planning approach that could be used for routes with such critical sections is proposed and motivated through an example of an urban route of significance.},
	year = {2024},
	eissn = {1587-3811},
	pages = {173-180},
	orcid-numbers = {Fazekas, Zoltán/0000-0001-5159-4476; Gáspár, Péter/0000-0003-3388-1724}
}

@article{MTMT:34588733,
	title = {Urban Traffic Congestion Alleviation Relying on the Vehicles’ On-board Traffic Congestion Detection Capabilities},
	url = {https://m2.mtmt.hu/api/publication/34588733},
	author = {Fazekas, Zoltán and Obaid, Mohammed and Karim, L and Gáspár, Péter},
	doi = {10.12700/APH.21.6.2024.6.1},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {21},
	unique-id = {34588733},
	issn = {1785-8860},
	year = {2024},
	eissn = {1785-8860},
	pages = {7-31},
	orcid-numbers = {Fazekas, Zoltán/0000-0001-5159-4476; Gáspár, Péter/0000-0003-3388-1724}
}

@article{MTMT:34557894,
	title = {Koopman form of nonlinear systems with inputs},
	url = {https://m2.mtmt.hu/api/publication/34557894},
	author = {Iacob, L C and Tóth, Roland and Schoukens, M},
	doi = {10.1016/j.automatica.2024.111525},
	journal-iso = {AUTOMATICA},
	journal = {AUTOMATICA},
	volume = {162},
	unique-id = {34557894},
	issn = {0005-1098},
	year = {2024},
	eissn = {1873-2836}
}

@article{MTMT:34527228,
	title = {A Kinetic Finite Volume Discretization of the Multidimensional PIDE Model for Gene Regulatory Networks},
	url = {https://m2.mtmt.hu/api/publication/34527228},
	author = {Vághy, Mihály András and Otero-Muras, I and Pájaro, M and Szederkényi, Gábor},
	doi = {10.1007/s11538-023-01251-3},
	journal-iso = {B MATH BIOL},
	journal = {BULLETIN OF MATHEMATICAL BIOLOGY},
	volume = {86},
	unique-id = {34527228},
	issn = {0092-8240},
	abstract = {In this paper, a finite volume discretization scheme for partial integro-differential equations (PIDEs) describing the temporal evolution of protein distribution in gene regulatory networks is proposed. It is shown that the obtained set of ODEs can be formally represented as a compartmental kinetic system with a strongly connected reaction graph. This allows the application of the theory of nonnegative and compartmental systems for the qualitative analysis of the approximating dynamics. In this framework, it is straightforward to show the existence, uniqueness and stability of equilibria. Moreover, the computation of the stationary probability distribution can be traced back to the solution of linear equations. The discretization scheme is presented for one and multiple dimensional models separately. Illustrative computational examples show the precision of the approach, and good agreement with previous results in the literature.},
	year = {2024},
	eissn = {1522-9602},
	orcid-numbers = {Szederkényi, Gábor/0000-0003-4199-6089}
}