TY - JOUR AU - Hanka, László TI - Application of the Theory of Absorbing Markov Processes, for Estimating the Load of Road Sections and Charging Stations, for Electric Car Transport JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 21 PY - 2024 IS - 4 SP - 87 EP - 104 PG - 18 SN - 1785-8860 DO - 10.12700/APH.21.4.2024.4.5 UR - https://m2.mtmt.hu/api/publication/34443862 ID - 34443862 AB - Due to the short range of pure electric vehicles, considering a long trip, the number and the locations of electric charging stations, especially the distance between consecutive charging stations, is a basic question, because the discharged battery must be recharged quite frequently. Today, the network of electric charging stations is unsatisfactory. During the construction of new and expansion of existing networks, the load of roads and the utilization of existing or imagined charging stations must be taken into account. For the estimation of these features, a perfect mathematical tool, is the theory of absorbing Markovchains. In this article a possible mathematical model, using Markov-chains, extended by the logit regression model will be presented. LA - English DB - MTMT ER - TY - JOUR AU - Altamimi, Husam AU - Varga, István AU - Tettamanti, Tamás TI - Urban Platooning Combined with Dynamic Traffic Lights JF - MACHINES J2 - MACHINES VL - 11 PY - 2023 IS - 9 PG - 17 SN - 2075-1702 DO - 10.3390/machines11090920 UR - https://m2.mtmt.hu/api/publication/34150743 ID - 34150743 N1 - ISSN:2075-1702 AB - Platooning is generally known as a control method for driving a group of connected and automated vehicles in motorway context. Nevertheless, platoon control might also work on urban roads. One possible strategy to increase overall road traffic performance and to reduce congestion in urban traffic networks is to combine platooning with traffic signal control at intersections. The traffic flow can be maximized with coordinated scheduling of traffic signals together with platooning activities, resulting in decreased travel times and fuel consumption. This paper investigates several aspects of this combined control, such as the procedures for coordination and communication between platooning vehicles and traffic signals. Efficient algorithms are suggested to optimize platoon formation and dissolution at junctions and to change traffic signal phases depending on platoon arrival and departure times. The proposed solutions have been tested and verified with SUMO, a high-fidelity microscopic traffic simulator. LA - English DB - MTMT ER - TY - JOUR AU - Fang, Rui TI - Research on the SSIDM Modeling Mechanism for Equivalent Driver’s Behavior JF - WORLD ELECTRIC VEHICLE JOURNAL J2 - WORLD ELECTR VEH J VL - 14 PY - 2023 IS - 9 SN - 2032-6653 DO - 10.3390/wevj14090242 UR - https://m2.mtmt.hu/api/publication/34140371 ID - 34140371 AB - To solve the problem of smooth switching between the car-following model and lane-changing model, the Intelligent Driver Model (IDM) for a single lane was used to study the driver’s behavior switching mechanism of normally following, generating intentions to change lanes, creating space and speed gains, and performing lane change. In the case of sufficient lane-changing space and speed gains, the ego vehicle’s intention to change lanes was considered to solve the switching boundary between car-following behavior and lane-changing behavior, which is also the IDM failure point. In the event that there are no lane-changing gains, the IDM was optimized by incorporating the constraint components of the target lane vehicles in conjunction with the actual motion state of the ego vehicle, and the Stepless Switching Intelligent Driver Model (SSIDM) was constructed. Drivers’ natural driving information was collected, and scenario mining was performed on structured roads. On the basis of the collected data, an elliptic equation was used to fit the behavior switching boundary, and the two component balance coefficients of the front and rear vehicles on the target lane were identified. According to the test set verification results, the Mean Square Error (MSE) of the SSIDM is 2.172, which is 57.98% less than that of the conventional single-lane IDM. The SSIDM can accomplish stepless switching comparable to the driver’s behavior between the car-following behavior and the lane-changing behavior, with greater precision than IDM. This research can provide theoretical support for the construction of the point-to-point driving model and the development of L2+ autonomous driving functions. It can provide assistance for the landing and application of full-behavior and full-scene autonomous driving. LA - English DB - MTMT ER - TY - JOUR AU - Fecser, Nikolett TI - Assisting the passage of heavy vehicles, increasing traffic safety designing traffic lights and urban lighting in a smart city JF - INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS J2 - INT J HEAVY VEH SYST VL - 30 PY - 2023 IS - 5 SP - 1 EP - 17 PG - 17 SN - 1744-232X DO - 10.1504/IJHVS.2023.10059062 UR - https://m2.mtmt.hu/api/publication/34146893 ID - 34146893 LA - English DB - MTMT ER - TY - JOUR AU - Mohammed, Dilshad AU - Horváth, Balázs TI - Vehicle Automation Impact on Traffic Flow and Stability: A Review of Literature JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 20 PY - 2023 IS - 5 SP - 129 EP - 148 PG - 20 SN - 1785-8860 DO - 10.12700/APH.20.5.2023.5.9 UR - https://m2.mtmt.hu/api/publication/33831491 ID - 33831491 LA - English DB - MTMT ER - TY - JOUR AU - Xiao, Xiao AU - Zhang, Yunlong AU - Wang, Xiubin B. AU - Guo, Xiaoyu TI - Adaptive Headway Control Algorithm for Mixed-Traffic Stabilization and Optimization with Automated Cars and Trucks JF - TRANSPORTATION RESEARCH RECORD J2 - TRANSPORT RES REC VL - 2023 PY - 2023 SN - 0361-1981 DO - 10.1177/03611981231156587 UR - https://m2.mtmt.hu/api/publication/33692407 ID - 33692407 AB - Automated vehicle (AV) technology provides an opportunity to increase capacity and reduce congestion while maintaining stability and flow rate by allowing AVs to control their movements using references such as vehicle headways. Studies have been conducted on advancing the control algorithm of automated cars, and recent research has focused on different AV market penetration ratios. However, a straightforward way to control AVs using model parameters considering different AV types (i.e., cars and trucks) has seldom been both investigated and implemented. A method is developed to show the feasibility of controlling AVs using the desired headway as a variable to ensure stability and satisfy demand. The proposed adaptive headway control method for automated vehicles can stabilize flow and optimize flow rate in a mixed-traffic environment with four vehicle types: (1) AV cars, (2) non-AV cars, (3) AV trucks, and (4) non-AV trucks. At various AV market penetration ratios and truck percentages, the relationship between AV headways and stability is investigated. The model is implemented and tested in a simulation environment based on real-time interactions of the External Driver Model and VISSIM. Numerical analyses demonstrate that if the truck percentage is 80% or less, traffic is stable with the proposed control algorithm. The proposed algorithm is evaluated in microscopic simulation. Compared with the baseline case with no headway control, the proposed adaptive headway control algorithm can lead to less oscillation in traffic flow and can also reduce the delay by 23.19% while increasing the average travel speed up to 9.09%. LA - English DB - MTMT ER - TY - JOUR AU - Lázár-Fülep, Tímea TI - Scientific Research Review on Dependability of Complex Automotive Systems Developed towards Autonomous Driving JF - PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING J2 - PERIOD POLYTECH TRANSP ENG VL - 50 PY - 2022 IS - 2 SP - 142 EP - 145 PG - 4 SN - 0303-7800 DO - 10.3311/PPtr.16745 UR - https://m2.mtmt.hu/api/publication/32646069 ID - 32646069 LA - English DB - MTMT ER - TY - CHAP AU - Pokorádi, László ED - Péter, Tamás TI - Időben változó kapcsolatú rendszerek strukturális gráfvizsgálata T2 - XVI. Innováció és Fenntartható Felszíni Közlekedés Konferencia (IFFK 2022) PB - Magyar Mérnökakadémia (MMA) CY - Budapest SN - 9789638887573 PY - 2022 SP - 1 EP - 5 PG - 5 UR - https://m2.mtmt.hu/api/publication/33219807 ID - 33219807 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Pokorádi, László TI - Monte-Carlo Simulation-Based Accessibility Analysis of Temporal Systems JF - SYMMETRY (BASEL) J2 - SYMMETRY-BASEL VL - 14 PY - 2022 IS - 5 PG - 12 SN - 2073-8994 DO - 10.3390/sym14050983 UR - https://m2.mtmt.hu/api/publication/32822924 ID - 32822924 AB - Temporal networks and network-structured systems are gaining ground in daily life. Such net-works are Vehicular Ad-hoc NETworks (VANET) and Mobile Ad-hoc NETworks (MANET), in fact, Industry 4.0 requires similar local networks. During mathematical model-based analysis of real temporal systems, it is vital to determine the existence and frequency of accessibility between components. Graph theory is a well-known mathematical tool used for studying accessibility of network components. In previous publications, the author proposed an easy-usable algorithm for determining the existence of interconnection between system-components. The Monte-Carlo Simulation can model the temporality of systems. The aim of this paper is to propose a Monte-Carlo Simulation-based method that estimates symmetry or asymmetry and the frequency of accessibilities between the components of temporal network-structured systems. LA - English DB - MTMT ER - TY - JOUR AU - Singh, Vandana AU - Sahana, Sudip Kumar AU - Bhattacharjee, Vandana TI - Nature-Inspired Cloud–Crowd Computing for Intelligent Transportation System JF - SUSTAINABILITY J2 - SUSTAINABILITY-BASEL VL - 14 PY - 2022 IS - 23 SN - 2071-1050 DO - 10.3390/su142316322 UR - https://m2.mtmt.hu/api/publication/33300785 ID - 33300785 AB - Nowadays, it is crucial to have effective road traffic signal timing, especially in an ideal traffic light cycle. This problem can be resolved with modern technologies such as artificial intelligence, cloud and crowd computing. We hereby present a functional model named Cloud–Crowd Computing-based Intelligent Transportation System (CCCITS). This model aims to organize traffic by changing the phase of traffic lights in real-time based on road conditions and incidental crowdsourcing sentiment. Crowd computing is responsible for fine-tuning the system with feedback. In contrast, the cloud is responsible for the computation, which can use AI to secure efficient and effective paths for users. As a result of its installation, traffic management becomes more efficient, and traffic lights change dynamically depending on the traffic volume at the junction. The cloud medium collects updates about mishaps through the crowd computing system and incorporates updates to refine the model. It is observed that nature-inspired algorithms are very useful in solving complex transportation problems and can deal with NP-hard situations efficiently. To establish the feasibility of CCCITS, the SUMO simulation environment was used with nature-inspired algorithms (NIA), namely, Particle Swarm Optimization (PSO), Ant Colony Optimization and Genetic Algorithm (GA), and found satisfactory results. LA - English DB - MTMT ER - TY - JOUR AU - Zhang, Fang AU - Wu, Jie AU - Wu, Faquan TI - The Laboratory Intelligent Management System Using NB-IoT and Artificial Intelligence Technology JF - MATHEMATICAL PROBLEMS IN ENGINEERING J2 - MATH PROBL ENG VL - 2022 PY - 2022 PG - 10 SN - 1024-123X DO - 10.1155/2022/6574042 UR - https://m2.mtmt.hu/api/publication/33064173 ID - 33064173 N1 - RETRACTED / VISSZAVONT AB - For the traditional laboratory manual management, there is a need for laboratory managers. The managers cannot keep abreast of the laboratory conditions, and forget to shut down and close the windows, causing waste of electricity and equipment damage. Based on NB-IoT and artificial intelligence, a laser intelligent management system is developed using technologies such as network communication, intranet, automatic control, artificial intelligence, and software. Through this system, administrators can grasp the situation of the laboratory in real time, realize the intelligent management of the laboratory, improve the scientific management of the laboratory, improve the work efficiency of laboratory technicians, and better play the laboratory as an important platform for scientific research training in colleges and universities. This paper aims to develop an intelligent laboratory management system based on NB-IoT and AI technology. Through this system, the manager can grasp the situation of the laboratory in real time, realize the intelligent management of the laboratory, and better play the role of the laboratory as an important platform for scientific research and talent training. LA - English DB - MTMT ER - TY - CHAP AU - Fetter, Marcell AU - Csonka, Bálint ED - Jiri, Ruzicka TI - Multi-criteria evaluation method for operating battery electric railcars T2 - 2021 Smart City Symposium Prague (SCSP) PB - IEEE CY - Piscataway (NJ) SN - 9781665415248 PY - 2021 SP - 1 EP - 6 PG - 6 DO - 10.1109/SCSP52043.2021.9447375 UR - https://m2.mtmt.hu/api/publication/32064277 ID - 32064277 AB - Recently, an increasing number of battery electric railway vehicles are being put into service. The operational characteristics of hybrid-powered vehicles are different from diesel propulsion, which is a challenge for railway companies. This paper introduces a multi-criteria evaluation method to facilitate the harmonization of various parameters related to hybrid vehicles and the evaluation of railway lines based on the attributes of new types of railcars. The length of the non-electrified sections, battery capacity, condition of railway tracks, number of operated railcars, and passenger traffic volume were identified as the main attributes that influence the applicability of battery electric railcars. It was found that without charging station deployment, railway lines electrified in 40-60% are the most suitable for battery electric railcar operation. LA - English DB - MTMT ER - TY - CHAP AU - Fetter, Marcell AU - Csonka, Bálint ED - Horváth, Balázs ED - Horváth, Gábor TI - Multikritériumos értékelő módszer hibrid meghajtású vasúti járművek üzemeltetéséhez T2 - XI. Nemzetközi Közlekedéstudományi Konferencia PB - Széchenyi István Egyetem CY - Győr SN - 9786155837869 PY - 2021 SP - 116 EP - 126 PG - 11 UR - https://m2.mtmt.hu/api/publication/32064809 ID - 32064809 AB - Napjainkban egyre több hibrid-akkumulátoros meghajtású vasúti járművet helyeznek forgalomba. Az üzemeltetési jellemzői ezeknek a járműveknek nagyban eltér a hagyományos dízel és villany meghajtásúakétól, ami kihívást jelent az azokat üzemeltető vasútvállalatok számára. Ezért kidolgoztunk egy multikritériumos értékelő módszert, ami segítséget nyújt a hibrid járművek paramétereinek harmonizálásában, illetve az új típusú járművek jellemzői alapján lehetőség nyílik a vasútvonalak értékelésére is. Megállapítottuk, hogy a nem villamosított szakaszok hossza, az akkumulátor kapacitása, a vasúti pálya állapota, az üzemeltetett motorvonatok száma és az utasforgalom nagysága a legfontosabb tényezők a hibrid motorvonatok üzemeltethetősége szempontjából. Az érétkelő módszert több vasútvonalra alkalmaztuk, ami alapján megállapítottuk, hogy elektromos töltőállomás kiépítése nélkül azon vasútvonalakon célszerű a hibrid, villamos-akkumulátoros motorvonatok közlekedtetése, melyek 40-60%-ban villamosítottak. LA - Hungarian DB - MTMT ER - TY - CHAP AU - Csonka, Bálint ED - Růžička, J TI - Centralized charging power distribution method for electric vehicles T2 - 2020 Smart City Symposium Prague (SCSP) PB - IEEE CY - New York, New York SN - 9781728168210 PY - 2020 PG - 6 DO - 10.1109/SCSP49987.2020.9134002 UR - https://m2.mtmt.hu/api/publication/31374701 ID - 31374701 N1 - Export Date: 19 November 2020 Correspondence Address: Csonka, B.; Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Department of Transport Technology and EconomicsHungary; email: csonka.balint@mail.bme.hu AB - The extra electricity load generated by the increasing number of electric vehicles (EV) may have an adverse effect on the electrical grid of cities. At the same time, electric vehicles may also be considered as mobile energy storages that can significantly reduce load fluctuations. Therefore, a mathematical model for the coordination of EV charging and electric network capacity had been elaborated. The model supports the optimization of electricity load by charging power distribution and bidirectional energy flow between EVs and charging infrastructure. The optimization problem was solved using linear programming. The model was applied to determine the optimal solar power for charging EVs. It was found that daytime charging demand may be served using only solar energy without surplus in generation if the share of flexible demand was higher than app. 15 %. Furthermore, centralized control may decrease the charging cost significantly. LA - English DB - MTMT ER -