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Analysis of the efficiency of traffic light system with utilization of computer simulation based on Szczecin example

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The dynamics of development of transport systems in cities makes it harder to control the proper traffic management. It happens that decisions on the reorganization of the traffic and utilization of automated control are made on the basis of insufficient principles. Due to that, the costs of the technical implementations are spent without a simultaneous traffic improvement. For this reason, it is necessary to use tools allowing an efficient analysis of the current and future situation of the road. Utilization of a computer simulation seems to be most effective. The paper is focused on an example of computer simulation analyses of the two integrated cross roads in Szczecin. Based on the simulation model, the assessments of the planned implementation solutions were realized. It includes the analysis of the appropriateness of traffic lights utilization for the analyzed road sections.
Rocznik
Strony
8--13
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
  • Maritime University of Szczecin, Faculty of Economics and Transport Engineering, Pobożnego 11, 70-507 Szczecin, Poland
autor
  • Maritime University of Szczecin, Faculty of Economics and Transport Engineering, Pobożnego 11, 70-507 Szczecin, Poland
autor
  • West Pomeranian University of Technology, Faculty of Computer Science and Information Technology, Żołnierska 52, 71-210 Szczecin
Bibliografia
  • [1] KAROŃ G., MIKULSKI J.: Transportation Systems Modelling as Planning, Organisation and Management for Solutions Created with ITS. in Mikulski J. (ed) Modern Transport Telematics, Springer Verlag, Berlin Heidelberg, CCIS 239, 277–290, (2011)
  • [2] KAROŃ G., ŻOCHOWSKA R.: Modelling of expected traffic smoothness in urban transportation systems for ITS solutions. Archives of Transport 33(1) (2015)
  • [3] ŻOCHOWSKA, R., KAROŃ, G.: ITS services packages as a tool for managing traffic congestion in cities. In Intelligent Transportation Systems–Problems and Perspectives, 81-103 (2016)
  • [4] GORDON G.: The simulation of systems, WNT, Warsaw, 1974.
  • [5] MAY A.D.: Traffic Flow Fundamentals, Prentice Hall, 1990. [6] DAGANZO C.F.: Transportation and Traffic Theory, Elsevier, 1993.
  • [7] WOLF D.E., SCHRECKENBERG M., BACHEM A.: Traffic and granular flow, World Scientific, Singapore, 1996.
  • [8] HELBING D.: Vehrkers-dynamik: Neue Physikalische Model lierungskonzepte, Rev. Mod. Phys., 73, 1067, Springer, Berlin, 1997.
  • [9] WOLF D.E., SCHRECKENBERG M.: Traffic and granular flow, Springer, Singapore, 1998.
  • [10] CHOWDHURY D., SANTEN L., SCHADSCHNEIDER A.: Physics Reports, 329, 199, 2000.
  • [11] KERNER B.S. Networks and Spacial Economics, 1, 35, 2001.
  • [12] MAŁECKI, K., PIETRUSZKA, P., IWAN, S.: Selected aspects of traffic micro-simulation based on cellular automata and traffic detection system. Archives of Transport System Telematics 6(1): 41-44 (2013)
  • [13] OSKARBSKI, J., et al.: Analysis of signalized intersections in the context of pedestrian traffic. In 6th Transport Research Arena (TRA), Transportation Research Procedia 14, 2138- 2147 (2016)
  • [14] OSKARBSKI J., MISZEWSKI M., ŻARSKI K.: Traffic control within bus queue jumps on the ex-ample of Gdynia, Transport Miejski i Regionalny 4, 38-43 (2015) [in Polish]
  • [15] BAZAN, M., et al.: Intelligent Transport System auditing using road traffic micro-simulation. Archives of Transport System Telematics 8(4), 3-8 (2015)
  • [16] Bazan, M., et al.: Green Wave optimization. Archives of Transport System Telematics 9(3), 3-8 (2015)
  • [17] SOBOTA, A., KLOS, M.J., KAROŃ, G.: The Influence of Countdown Timers on the Traffic Safety of Pedestrians and Vehicles at the Signalized Intersection. In Intelligent Transport Systems and Travel Behaviour, 13-21 (2017)
  • [18] SIERPIŃSKI, G.: Theoretical model and activities to change the modal split of traffic. in Mikulski J. (ed) Telematics in the Transport Environment, Springer Verlag, Berlin Heidelberg, CCIS 329, 45-51 (2012)
  • [19] MACIOSZEK, E.: Analysis of the Effect of Congestion in the Lanes at the Inlet to the Two-Lane Roundabout on Traffic Capacity of the Inlet. In Mikulski J. (ed) Activities of Transport Telematics, Springer Verlag, Berlin Heidelberg, CCIS 395, 97-104, (2013)
  • [20] MAŁECKI, K., PIETRUSZKA, P., IWAN, S.: Comparative Analysis of Selected Algorithms in the Process of Optimization of Traffic Lights. In Asian Conference on Intelligent Information and Database Systems, Lecture Notes in Computer Science 10192, 497-506 (2017)
  • [21] MAŁECKI, K.: The Importance of Automatic Traffic Lights Time Algorithms to Reduce the Negative Impact of Transport on the Urban Environment, Transportation Research Procedia 16, 329-342 (2016)
  • [22] KRYCH A., et al.: Wielopoziomowe struktury syntetyczne a struktury dedykowane w modelowaniu i prognozowaniu potoków ruchu, ZN-T SITK RP, Nr 1(97)/2012.
  • [23] RATROUT N.T., RAHMAN S.M.: A comparative analysis of currently used microscopic and macroscopic traffic simulation software, The Arabian Journal for Science and Engineering, Volume 34, Number 1B.
  • [24] WIEDEMANN R.: Simulation des Straßenverkehrsflusses, vol. Heft 8, Karlsruhe, Niemcy: Instituts für Verkehrswesen der Universität Karlsruhe, 1974.
  • [25] WIEDEMANN R., REITER U.: Microscopic traffic simulation: the simulation system MISSION, background and actual state. In: CEC project ICARUS (V1052) final report, vol 2, Appendix A. Brussels 1999, CEC.
  • [26] CHODUR J., GACA S., GONDEK S.: Metoda obliczania przepustowości skrzyżowań bez sygnalizacji świetlnej, GDDKiA, Warszawa 2004.
  • [27] Budowa Systemu Zarządzania Ruchem w Szczecinie, Dokumentacja powykonawcza, Szczecin, 2012.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e7d1d07b-f842-46a8-aee8-76da89032979
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