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Development of simulation model for light-controlled road junction in the program Technomatix Plant Simulation

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dc.title Development of simulation model for light-controlled road junction in the program Technomatix Plant Simulation en
dc.contributor.author Fedorko, Gabriel
dc.contributor.author Molnár, Vieroslav
dc.contributor.author Strohmandl, Jan
dc.contributor.author Vasil, Martin
dc.relation.ispartof Transport Means - Proceedings of the International Conference
dc.identifier.issn 1822-296X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2015
utb.relation.volume 2015-January
dc.citation.spage 466
dc.citation.epage 469
dc.event.title 19th International Scientific Conference on Transport Means, TRANSPORT MEANS 2015
dc.event.location Kaunas
utb.event.state-en Lithuania
utb.event.state-cs Litva
dc.event.sdate 2015-10-22
dc.event.edate 2015-10-23
dc.type conferenceObject
dc.language.iso en
dc.publisher Kaunas University of Technology
dc.description.abstract The method of computer simulation presents one of the key tool by solutions of various types of transport problems [1]. For its realization in the field of transport, they are a wide scale of different specialized software tools. For the need of an application of computer simulation in the field of transport it is possible to use also other software solutions. This paper deals with the possibility of simulation model for light-controlled road junction creation by the program Technomatix Plant Simulation. Computer simulation is an effective and powerful tool for solving a wide spectrum of transport problems. Without its help today we can not imagine solving different types of tasks in the field of transport. To apply traffic modeling, there is now a wide variety of different types of programs that differ from each other by different parameters. In addition to specialized programs, it is possible for the transport sector to use other simulation programs, which are general in nature use. Through them, we can create a full traffic model, which in terms of level can be divided according to generally accepted terminology into micro, macro and mezzo levels. The issue of modeling and simulation services is part of the presented works of different authors. Stromgren et all [2] deal with a model for Traffic Simulation of Flared Rural Road Intersections. The intersection model is designed with input parameters that describe the geometric conditions of the flare. Computer simulation of transport can also be used to solve transport within conurbations. Planning an urban car park provision using microsimulation make Sykes et all [3]. A common area for the use of simulation models are crossings. This is particularly the realization of models of microtip level. With microscopic modeling of adaptive cruise control systems deal Ntousakis et all [4]. The Adaptive Cruise Control (ACC) system, is one of the emerging vehicle technologies that has already been deployed in the market. Although it was designed mainly to enhance driver comfort and passengers' safety, it also affects the dynamics of traffic flow. For this reason, a strong research interest in the field of modeling and simulation of ACC-equipped vehicles has been increasing in the last few years. [4] Another field for application of computer simulation in traffic is the problem of traffic congestion. Basir [5] study exploring new methods bus priority at junctions isolated vehicle actuated. A similar issue is addressed and Gentile. [6] in the paper using general link transmission model in a dynamic traffic assignment to simulate congestion on urban networks. This article presents two new models of Dynamic User Equilibrium That are Particularly suited for ITS applications, where the evolution of vehicle flows and travel times must be simulated on large road networks, possibly ever in real-time. The key feature of the proposed models is the detail representation of the main congestion phenomena occurring at nodes of urban networks, Such as vehicle queues and their spillback, as well as conflicts in mergins flow and diversions [7]. This raises a wide range of using the method of computer simulation in the field of transport. Since transportation issues are an important part of the city logistics research issues, the question arises whether it is possible for the issue to let simulation tools set priorities for the area of logistics. One such software is software Plant Simulation. en
utb.faculty Faculty of Logistics and Crisis Management
dc.identifier.uri http://hdl.handle.net/10563/1006190
utb.identifier.obdid 43874455
utb.identifier.scopus 2-s2.0-84955458930
utb.identifier.wok 000375237700105
utb.source d-scopus
dc.date.accessioned 2016-04-28T10:37:57Z
dc.date.available 2016-04-28T10:37:57Z
utb.contributor.internalauthor Strohmandl, Jan
utb.fulltext.affiliation G. Fedorko*, V. Molnár**, J. Strohmandl***, M. Vasil**** *Technical University Kosice, Letna 9, 040 01 Kosice, Slovak Republic, E-mail: gabriel.fedorko@tuke.sk **Technical University Kosice, Letna 9, 040 01 Kosice, Slovak Republic, E-mail: vieroslav.molnar@tuke.sk ***Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic, E-mail: strohmandl@flkr.utb.cz ****Technical University Kosice, Letna 9, 040 01 Kosice, Slovak Republic, E-mail: mato.vasil183@gmail.com
utb.fulltext.dates -
utb.fulltext.references 1. Svoboda P., Ševčík J. The Advanced Techniques of PSI Scenarios Development in VBS2. In: Proceedings of the 16th International Conference on Automatic Control, Modelling & Simulation (ACMOS '14), Brasov, Romania, 2014. ISBN 978-960-474-383-4.] 2. Strömgren P., Olstam J., Tapani A. “A Model for Traffic Simulation of Flared Rural Road Intersections,” Transp. Res. Procedia, vol. 6, no. 0, pp. 239–258, 2015. 3. Sykes P., De Falco J., Bradley R., Jennings G., McDonnell G.“Planning urban car park provision using microsimulation,” Traffic Eng. Control, vol. 51, no. 3, pp. 103–107, 2010. 4. Ntousakis I.A., Nikolos I.K., Papageorgiou M. “On Microscopic Modelling of Adaptive Cruise Control Systems,” Transp. Res. Procedia, vol. 6, no. 0, pp. 111–127, 2015. 5. Ahmed B. “Exploring New Bus Priority Methods at Isolated Vehicle Actuated Junctions,” Transp. Res. Procedia, vol. 4, no. 0, pp. 391–406, 2014. 6. Gentile G. “Using the General Link Transmission Model in a Dynamic Traffic Assignment to Simulate Congestion on Urban Networks,” Transp. Res. Procedia, vol. 5, no. 0, pp. 66–81, 2015. 7. Rak J., Juříková L., Ševčík D. Mapping the risks by means of geographic information systems. International Journal of Mathematical Models and Methods in Applied Science, 2013, roč. 7, č. 3, s. 257-264. ISSN 1998-0140. 8. Rak, J. Ulčíková, D. The Application of Geographic Information Systems in the area of Emergency management – Population Protection by Sheltering. In Advances in Education Research. Newark: Information Engineering Research Institute, 2014, s. 3-8. ISSN 2160-1070. ISBN 978-1-61275-066-8.
utb.fulltext.sponsorship This work is a part of these projects VEGA 1/0922/12, VEGA 1/0258/14, KEGA 014STU-4/2015 and APVV SK-CZ-2013-0169 and project Mobility7AMB14SK044.
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