Richard Horváth

24724045900

Publications - 6

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

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

Public transport and the cognitive infocommunication

Richard Horváth

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 329-332

Description:

In public transport the passenger information system plays a very important role, which provides the connection between the two participants: the service provider (bus company) and the passengers. The service provider would like to state the structure of the network, the timetable, and the passenger would like information about the same data. If this communication is not correct this causes a lower service level. This may be important when we create a simulation model.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390613

Estimation of sample size to forecast travel demand in urban public transport

Richard Horváth Balázs Horváth

Publication Name: 2015 International Conference on Models and Technologies for Intelligent Transportation Systems Mt ITS 2015

Publication Date: 2015-08-25

Volume: Unknown

Issue: Unknown

Page Range: 300-303

Description:

The starting point of a transport development project is knowledge on travel demand. If there is time and money for doing a detailed survey and passenger counting, we are able to build up detailed travel demand models. Usually this is not the case of the reality. Normally there is money and resources for some counting and maybe some surveying to clarify the demand data (e.g. OD matrix). There is always a discussion point; what is the needed size of the sample at a surveying, to be able to produce reliable data for OD matrix estimation. The paper deals with the issue of needed sample size and reliability of results.

Open Access: Yes

DOI: 10.1109/MTITS.2015.7223271

Real network test of an iterative origin-destination matrix estimator in urban public transport

Richard Horváth Balázs Horváth

Publication Name: 2014 18th International Conference on System Theory Control and Computing Icstcc 2014

Publication Date: 2014-12-11

Volume: Unknown

Issue: Unknown

Page Range: 715-719

Description:

The estimation of origin-destination matrices in urban public transport is an evergreen issue due to the fact that the key of the planning of public transport systems is the accurate prediction of the traffic load which requires a well-functioning assignment method and reliable passenger data (i.e. time-dependent OD matrix). This paper describes the theory of lately developed iterative estimation method and the first real network test results.

Open Access: Yes

DOI: 10.1109/ICSTCC.2014.6982502

Human factor in traffic models

Zsuzsanna Tóth-Szabó Richard Horváth K. Kovács

Publication Name: 2006 IEEE International Conference on Computational Cybernetics Iccc

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper deals with modeling of human behavior in traffic systems. The first part of the paper gives a short survey of the corresponding literature introducing the most important problems of the area. The second part of the paper contains our approach aiming the development of a driver model applicable in the widely used simulation systems to describe practical traffic situations and analyze the safety aspects.

Open Access: Yes

DOI: 10.1109/ICCCYB.2006.305738