@article{MTMT:34580605,
	title = {A cooperative interaction strategy for vehicle platoons to obtain merging gaps in connected environments},
	url = {https://m2.mtmt.hu/api/publication/34580605},
	author = {Hu, Hongyu and Cheng, Ming and Li, Zhengyi and Wang, Zixuan and Jin, Sheng and Gao, Zhenhai and Shen, Chuanliang},
	doi = {10.1177/09544070231220701},
	journal-iso = {P I MECH ENG D-J AUT},
	journal = {PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING},
	volume = {2024},
	unique-id = {34580605},
	issn = {0954-4070},
	abstract = {Vehicle platoons can significantly improve traffic throughput and reduce fuel consumption and emissions. In the formation of platoons, it is crucial to generate safe merging gaps. This process requires appropriate cooperative management and control strategies. This study proposes a cooperative interaction strategy for vehicle platoons, including a communication management system and vehicle control strategies. These strategies can reduce velocity fluctuation in the process of gap generation and improve traffic performance. First, a communication management system within a platoon was developed, according to the standard communication protocol (SAE J2735), ensuring that external vehicles can join the platoon efficiently and orderly. Next, a cooperative adaptive cruise control (CACC) system was designed, which adopts feedforward and feedback control. Furthermore, the influence of increasing gaps on the stability of the platoon was considered. A cooperative control strategy for a virtual guiding vehicle (VGV) was introduced to switch the following target and linearly change the distance input of the controller. In this way, the downstream vehicles were guided to smoothly generate a safe merging gap, which can reduce speed fluctuation, and ensure the stability and safety of the platoon. Finally, the entire process of interaction in a vehicle platoon was tested in a simulation environment. The results showed that, compared with the parameter adaptive control strategy, the maximum velocity overshoot of the platoon vehicles was reduced by 56%, recovery stabilization time was reduced by 47%, and vehicle jitter was reduced by 43%. The driving security and platoon stability were both within the control boundaries set for evaluation.},
	year = {2024},
	eissn = {2041-2991},
	orcid-numbers = {Hu, Hongyu/0000-0001-8083-6403}
}

@article{MTMT:33684057,
	title = {Exploring the Stability and Capacity Characteristics of Mixed Traffic Flow with Autonomous and Human-Driven Vehicles considering Aggressive Driving},
	url = {https://m2.mtmt.hu/api/publication/33684057},
	author = {Li, Yun and Zhang, Shengrui and Pan, Yingjiu and Zhou, Bei and Peng, Yanan},
	doi = {10.1155/2023/2578690},
	journal-iso = {J ADV TRANSPORT},
	journal = {JOURNAL OF ADVANCED TRANSPORTATION},
	volume = {2023},
	unique-id = {33684057},
	issn = {0197-6729},
	abstract = {With the popularization of autonomous vehicle (AV) technology, mixed traffic flows that consist of AVs and human-driven vehicles (HDVs) will appear in the real world. Although many studies of the features of mixed traffic flow have been carefully evaluated, few studies have focused on the effect of aggressive driving performance on mixed traffic flow. This study aims to develop an approach to evaluate the effects of aggressive driving on the stability and capacity performance under the conditions of AV and HDV mixed traffic flow. First, since a car-following model can describe the relationship between vehicles, we calibrate a car-following model for aggressive driving and nonaggressive driving behaviors based on real traffic data and previous research results. Then, in a mixed traffic flow environment, a basic linear stability formula and capacity calculation expression are developed that consider the effects of vehicle order on the capacity. Finally, because the proportion of aggressive driving and aggressive driving parameters may change, nine combinations of three aggressive driving proportions and three driving parameter cases are used for the sensitivity analysis. The results indicate that the effect of aggressive driving on mixed traffic flow is complex. When the proportion of aggressive driving is less than 35%, the increase in the proportion of aggressive driving increases the traffic capacity and reduces the unstable part. However, when the proportion of aggressive driving is greater than 35%, the increase in the proportion of aggressive driving increases the unstable part. When the penetration rate of AVs exceeds 0.490, mixed traffic flow remains stable at all aggressive driving proportions. In addition, the capacity of a mixed traffic flow may be improved as the penetration rate of AVs increases. To a certain extent, these conclusions provide a theoretical basis for formulating different management modes of AVs and HDVs.},
	year = {2023},
	eissn = {2042-3195},
	pages = {1-21},
	orcid-numbers = {Li, Yun/0000-0002-1514-2912; Zhang, Shengrui/0000-0001-8069-875X; Pan, Yingjiu/0000-0001-5011-9630; Zhou, Bei/0000-0001-9639-2560}
}

@article{MTMT:33831491,
	title = {Vehicle Automation Impact on Traffic Flow and Stability: A Review of Literature},
	url = {https://m2.mtmt.hu/api/publication/33831491},
	author = {Mohammed, Dilshad and Horváth, Balázs},
	doi = {10.12700/APH.20.5.2023.5.9},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {20},
	unique-id = {33831491},
	issn = {1785-8860},
	year = {2023},
	eissn = {1785-8860},
	pages = {129-148},
	orcid-numbers = {Horváth, Balázs/0000-0002-1520-8731}
}

@article{MTMT:33930648,
	title = {Mathematical Description of the Universal IDM - some Comments and Application},
	url = {https://m2.mtmt.hu/api/publication/33930648},
	author = {Péter, Tamás and Háry, A and Szauter, Ferenc and Szabó, Krisztián and Vadvári, Tibor and Lakatos, István},
	doi = {10.12700/APH.20.7.2023.7.6},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {20},
	unique-id = {33930648},
	issn = {1785-8860},
	year = {2023},
	eissn = {1785-8860},
	pages = {99-115},
	orcid-numbers = {Szabó, Krisztián/0000-0001-8761-6083; Vadvári, Tibor/0000-0001-5922-2204; Lakatos, István/0000-0002-3855-7379}
}

@article{MTMT:34100386,
	title = {Comparisons on methods for identifying accident black spots using vehicle kinetic parameters collected from road experiments},
	url = {https://m2.mtmt.hu/api/publication/34100386},
	author = {Xu, Yang and Zhang, Changjian and He, Jie and Liu, Ziyang and Chen, Yikai and Zhang, Hao},
	doi = {10.1016/j.jtte.2021.08.007},
	journal-iso = {Journal of Traffic and Transportation Engineering (English Edition)},
	journal = {Journal of Traffic and Transportation Engineering (English Edition)},
	volume = {10},
	unique-id = {34100386},
	issn = {2095-7564},
	year = {2023},
	pages = {659-674}
}

@article{MTMT:32808162,
	title = {How to impede the external manipulation of autonomous cars?},
	url = {https://m2.mtmt.hu/api/publication/32808162},
	author = {Kiss, Gábor},
	doi = {10.3233/JIFS-219277},
	journal-iso = {J INTELL FUZZY SYST},
	journal = {JOURNAL OF INTELLIGENT & FUZZY SYSTEMS},
	volume = {43},
	unique-id = {32808162},
	issn = {1064-1246},
	year = {2022},
	eissn = {1875-8967},
	pages = {1761-1769},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@article{MTMT:33023630,
	title = {The Role of Hungarian Traffic Rules Education and Examination System – a Quality Function Deployment Approach},
	url = {https://m2.mtmt.hu/api/publication/33023630},
	author = {Horváth, Zsolt Csaba and Buics, László and Földesi, Péter and Eisingerné Balassa, Boglárka},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {19},
	unique-id = {33023630},
	issn = {1785-8860},
	year = {2022},
	eissn = {1785-8860},
	pages = {7-26},
	orcid-numbers = {Buics, László/0000-0002-2810-4982; Eisingerné Balassa, Boglárka/0000-0003-2894-5615}
}

@article{MTMT:32050254,
	title = {A dynamic model of a pneumobile vehicle},
	url = {https://m2.mtmt.hu/api/publication/32050254},
	author = {Szakács, Tamás},
	doi = {10.1088/1742-6596/1935/1/012016},
	journal-iso = {J PHYS CONF SER},
	journal = {JOURNAL OF PHYSICS-CONFERENCE SERIES},
	volume = {1935},
	unique-id = {32050254},
	issn = {1742-6588},
	year = {2021},
	eissn = {1742-6596},
	orcid-numbers = {Szakács, Tamás/0000-0002-7636-7488}
}

@inproceedings{MTMT:32087174,
	title = {Fuzzy-based Braking System Model in Driver Assisted Technology},
	url = {https://m2.mtmt.hu/api/publication/32087174},
	author = {Zsombor, Géczi and Laufer, Edit},
	booktitle = {15th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2021},
	doi = {10.1109/SACI51354.2021.9465597},
	unique-id = {32087174},
	abstract = {The development of self-driving cars has emerged as a key research areas. Autonomous, or semi-autonomous vehicles can be classified into six different levels based on the
		driver assistance technology advancements, defined by the Society of Automotive Engineers (SAE). In this paper, a braking system model is presented in a Driver Assistance level implementation. In the proposed model one of the most commonly used computational intelligence methods, fuzzy inference, is applied to handle the arising uncertainties and imprecision. In real-time applications computational requirements should be reduced. For this reason a hierarchical Sugeno model is implemented to evaluate the necessary deceleration in an ideal environment, taking into account certain traffic signals.},
	year = {2021},
	pages = {311-316},
	orcid-numbers = {Laufer, Edit/0000-0001-8362-4334}
}

@inproceedings{MTMT:31681874,
	title = {Az Univerzális IDM modell matematikai felírása és alkalmazási területe},
	url = {https://m2.mtmt.hu/api/publication/31681874},
	author = {Péter, Tamás and Lakatos, István and Háry, András and Szauter, Ferenc},
	booktitle = {XIV. IFFK 2020: Innováció és fenntartható felszíni közlekedés konferencia},
	unique-id = {31681874},
	year = {2020},
	pages = {1-7},
	orcid-numbers = {Lakatos, István/0000-0002-3855-7379}
}