Viktor Nagy

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Publications - 10

Automatic Definition of Traffic Analysis Zones Based on Big Data

Balázs Horváth Viktor Nagy

Publication Name: Applied Sciences Switzerland

Publication Date: 2024-07-01

Volume: 14

Issue: 13

Page Range: Unknown

Description:

The planning process for any transport system can be considered complete if it is accompanied by a modeling system to evaluate the intervention. The study area should always be divided into traffic zones. Correct zoning is the key to any transport system study. The basic principles of zone creation require a thorough understanding of the area and local traffic conditions. However, this is not always a given, especially if a universally applicable assessment system is to be developed. This has led to the need to develop an algorithm that is able to provide an estimate for the definition of traffic zones based on some automatically observable or measurable phenomena or sequence of events. The aim of this research is to identify the observable events that are suitable for characterizing the area, so that an automatic zone definition procedure can be developed based on these. In this paper, automatic WAZE-generated congestion data were processed in a selected district of Budapest. During the processing, the area was divided into a grid network and time series were developed that show the traffic flow on the grid network as a function of the congestion level. The area subdivisions were then clustered using spectral clustering to create spatially distinct districts with identical traffic behavior.

Open Access: Yes

DOI: 10.3390/app14135964

Examination of the Effects of Dynamic Speed Limit on Shock Waves with a Simulation Technique

Balázs Horváth Viktor Nagy Gergely Kruppa

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2024-01-01

Volume: 52

Issue: 1

Page Range: 52-58

Description:

The aim of motorway networks is to ensure smooth, high volume road traffic. The problem of anomalies in the system has been a longstanding concern for researchers, and with the widespread use of motorway networks a series of studies have been published on the subject. Speed limitation is one of the most important tools of mitigating disturbances. This study is looking for a solution to the problem known as the "shock wave effect". The research is based on a simulation method in a PTV VISSIM environment. The software can be used to examine certain traffic conditions, and then apply dynamic speed limitation based on these conditions. The Built Environment Information Platform (BENIP) is based on the idea that the built environment, the traffic, and the flow of information between them are closely related. The relevance of the study lies in the fact that a point-based notification of speed limits can be used for vehicles – a technology that is available in most cases at the infrastructure level on motorways – thus, improving road capacity and traffic safety.

Open Access: Yes

DOI: 10.3311/PPTR.22238

Analyzing the Potential Impacts of the Speed Compliance Behavior of Autonomous Vehicles †

Richard Horváth Balázs Horváth Attila Borsos Viktor Nagy

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Many researchers argue that autonomous vehicles (AV) will create a safer and more efficient transport infrastructure. However, some studies have drawn attention to potential problems in relation to how AVs and human-driven vehicles will co-exist. We investigated the effect of speed compliance behavior of AVs on an urban two-lane road section with alternating speed limits of 50 and 30 km/h. A Vissim microsimulation model was used where we gradually increased the traffic volume and the market penetration rate (MPR) of AVs. We found that under low traffic flow conditions the increase in MPR will lead to a decrease in the average speed and worsening of the average travel time. Under medium and, specifically, under saturated conditions, a high share of AVs can bring stability to the system. They can also significantly improve the speed compliance rate.

Open Access: Yes

DOI: 10.3390/engproc2024079063

Role of Information (Internet) in the Route Choice at Sustainable Urban Public Transport

Agoston Winkler Balázs Horváth Viktor Nagy

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 217-222

Description:

The role of information is higher and higher in the modern society. It is the same in transportation, especially in urban environments. An increasing share of the world's population is living in urban environments, and the understanding of transport processes in this field is essential. To be able to produce a better public transport system, the decision-making process of the individual users must be understood. By helping them to make the right decision from the viewpoint of the whole urban society, a more sustainable system can be built up (through a more attractive public transport service, with fewer cars) with highly reduced chemical pollution. This paper deals with the issue of the helping force of collected information at the special decision of route choice. Five different scenarios will be described to show the power of information in individual decisions. As a basis, there is static information only (like a timetable). In the second case, there are only limited dynamic information sources (real-time user information at the bus stop), while in the third case, the possibilities of permanent dynamic information are considered on the real timetable with the help of IoT. In the final two cases, there is the assumption of a critical mass of IoT in the transportation system, like the passengers’ mobile phones and the vehicles themselves. This paper describes a novel theoretical framework. Quantitative and qualitative results are the subject of future work.

Open Access: Yes

DOI: 10.3303/CET23107037

Impact of Autonomous Vehicles on Roundabout Capacity

Csaba Koren Attila Borsos Viktor Nagy Othmane Boualam

Publication Name: Sustainability Switzerland

Publication Date: 2022-02-01

Volume: 14

Issue: 4

Page Range: Unknown

Description:

Studying the impact of AVs on our road infrastructure offers a lot of potential in the transportation domain; one of these issues is how capacity will be affected. This paper presents a contribution to this research area by investigating the impact of AVs on the capacity of single-lane roundabouts using a microsimulation model. For the development of the model, a roundabout situated in Győr (Hungary) was selected and field data on the roundabout geometric characteristics as well as traffic volumes were used. Simulations using Vissim were run for various scenarios based on varying input traffic volumes and market penetration rates of AVs to assess queue lengths. The highway capacity manual (HCM) roundabout model was used to estimate the capacity of the existing roundabout. Values of follow-up times and critical gaps were set to decreasing as the penetration rate of AVs increases. The results demonstrated that 20% and 40% AVs in the flow would increase leg capacities by about 10% and 20%, respectively. Furthermore, a reduction in excessive queue lengths was estimated and capacities and queue lengths were calculated by legs. It was found that these are highly influenced by the distribution of flows among legs, and the share of flows in various directions.

Open Access: Yes

DOI: 10.3390/su14042203

Effect of Self-driving Buses on Vehicle Scheduling

Balázs Horváth Viktor Nagy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2021-01-01

Volume: 1278

Issue: Unknown

Page Range: 21-29

Description:

We are more and more close to the time when a higher number of autonomous vehicles are appearing in road traffic. The number of unanswered questions does not diminish but grow. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about self-driving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice (and also in other countries) the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in the case of three Hungarian cities (Eger, Dunaújváros, Győr). We show how much savings can be achieved by running autonomous buses in European cities with a population of 45 000, 54 000 and 130 000 inhabitants. The results are promising. In smaller cities we could achieve about 20% of economical savings but in bigger cities 40% is also realistic. Our statements are based on only rough calculations and they try to help in preparation for the future.

Open Access: Yes

DOI: 10.1007/978-3-030-61075-3_3

The effects of autonomous buses to vehicle scheduling system

Balázs Horváth Viktor Nagy

Publication Name: Procedia Computer Science

Publication Date: 2020-01-01

Volume: 170

Issue: Unknown

Page Range: 235-240

Description:

We are more and more closer to time when mass value of autonomous vehicles is appearing in road traffic. The number of unanswered questions does not diminish but growing. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about self-driving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in a case of a Hungarian city, Eger. We show how much savings can be achieved by running autonomous buses in a European city with a population of 50,000 inhabitants. Our suppositions are only unsure statements what try to help in the preparing of the future.

Open Access: Yes

DOI: 10.1016/j.procs.2020.03.035

Land-use zone estimation in public transport planning with data mining

Richard Horváth Balázs Horváth Viktor Nagy

Publication Name: Transportation Research Procedia

Publication Date: 2017-01-01

Volume: 27

Issue: Unknown

Page Range: 1050-1057

Description:

Nowadays, data sets are spreading continually, generated by different devices and systems. The modern GPS based tracking systems and the electronic tickets are producing lots of data, and we could use them, for improving the service level. These data are processable with the modern devices and methods, and we can use them for obtaining information. Thanks to the spread of data mining, these tools are not appearing only in marketing research, but also in the most various kind of scientific areas and they are advertising a new scientific revolution. Although the importance of these data sources is essential it is not widespread in transport planning except in some specific areas. The smart card systems store the number of boarding passengers and in some cases also the alighting values. From the passengers' boarding and alighting information in a stop point we can create a time series, which shows the behavior type of the given stop points presented on graphic curves. With the help of different clustering and classification processes, these curves can be turned into groups and we can observe these groups of stop points which are defining separated zones. This is the basic step in transport modelling and the zones were determined by manual methods usually. In this paper we examine clustering and classification methods compared to each other and check the usability of different distance measurement techniques. This paper shows the usage of these methods in public transportation and presents the background of this kind of zone distribution technic.

Open Access: Yes

DOI: 10.1016/j.trpro.2017.12.145

Hidden content of passenger data in public transport

Balázs Horváth Viktor Nagy

Publication Name: Procedia Computer Science

Publication Date: 2017-01-01

Volume: 109

Issue: Unknown

Page Range: 506-512

Description:

Nowadays, data sets are spreading continually, generated by different devices and systems. In most cases, these data are stored, and the service providers don't use the information they contain, what even more they delete these data to save space. However, these data are processable with the modern devices and methods, and we can use them for obtaining information. This paper presents a possible application of the digital raw materials, taking the public transport passengers boarding and alighting information as a base. Based on these, we are able to deduce the characteristics of the stop point's environment since the different land usage yields dissimilar stop usage with well-defined peak hours. With the help of distance measurement and classification techniques it is possible to define how similar are the stop points to predefined patterns and we can create stop point groups which define separated zones. The paper shows a usage method of distance measurement methods and classification in public transportation and presents the background of this kind of land-use zone distribution technic.

Open Access: Yes

DOI: 10.1016/j.procs.2017.05.320

Eclipse SUMO and Unity 3D integration for emission studies based on driving behaviour in virtual reality environment

Viktor Nagy Viktor Nagy Csaba József Májer Sámuel Lepold

Publication Name: Procedia Computer Science

Publication Date: 2025-01-01

Volume: 257

Issue: Unknown

Page Range: 396-403

Description:

This paper explores the development of a traffic simulator that harnesses the power of OpenStreetMap (OSM) data, integrating it into a unified framework using Blender, SUMO (Simulation of Urban MObility), and Unity 3D. The project aims to provide a realistic and versatile platform for simulating complex transportation scenarios for urban planning, traffic management, and virtual environment creation. The process begins with the extraction and preprocessing of OSM data, ensuring the representation of road networks and geographic features. Blender, a 3D modelling software, is used to visualise and enhance the environment. The resulting 3D models are loaded into Unity. SUMO - a microscopic traffic simulation software - plays a role in modelling vehicle dynamics, traffic flow, and interactions within the simulated environment. Via an integration hub, bringing together the visuality of Unity 3D environment and SUMO's precise traffic simulation. Through this collaboration, the simulator offers real-time interaction and analysis. With the help of SUMO's free emissions module, the pollution resulting from driving behaviour can be measured not only at the individual level but also the impact on the network as well. The combination of OSM data, SUMO, Blender, and Unity 3D provides a powerful and free tool to study and optimise urban mobility, ultimately contributing to the development of smarter and more sustainable transportation systems.

Open Access: Yes

DOI: 10.1016/j.procs.2025.03.052