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Tytuł artykułu

Comparison by simulation of different approaches to the urban traffic control

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EN
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EN
As the urban traffic volumes reach their daily peak values, the surface traffic in modern cities suffers from frequent breakdowns and traffic jams. One of possibilities that could mitigate the problem is the deployment of smarter automatic systems of urban traffic control. Our paper demonstrates a development version of such a system. The system is based on adaptive feedback control approach. It makes use of filtering techniques to account for measurement imperfections and implements the rolling horizon method for optimal signal control. We compare the performance of the proposed system with two typical control approaches - pre-timed (or fixed) control, and traffic actuated (or dynamic) control. Different scenarios will be compared, including rapid changes in traffic volumes and reactions to incidents. The comparison is carried out using our demonstrator tool, based on TSS Aimsun micro-simulator. In order to keep the calibrated simulation as close to reality as possible, in the comparison runs we use real dense input volume measurements and simulate also the behavior of intersection controllers.
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26--30
Opis fizyczny
Bibliogr. 12 poz.
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autor
autor
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Bibliografia
  • [1] KRUSE G. : MOTION Netzsteuerung – Optimierung der Lichtsignalsteuerung im Einsatz. In Steierwald, M., Martens, S., eds.: Steuerung kommunaler Verkehrsnetze. Number 236, Akademie für Technikfolgenabschätzung in Baden- Württemberg (2003) 37–52 In German.
  • [2] BRETHERTON D., BODGER M., BABER N.: SCOOT – the future [urban traffic control]. In: Proceedigns of the 12th IEE International Conference on Road Transport Information and Control (RTIC 2004). (2004) 301–306
  • [3] HOUNSELL N., S HRESTHA B., PIAO J., MCDONALD M.: Review of urban traffic management and the impacts of new vehicle technologies. Intelligent Transport Systems, IET 3(4) (2009) 419–428
  • [4] TICHý T., KRAJCIR D. : The conception approach to the traffic control in Czech cities – examples from Prague. In: Proceedings of TST 2010, Katowice - Ustron, Poland, (2010) 407–410
  • [5] GARTNER N.H., POORAN F.J., ANDREWS C.M.: Optimized policies for adaptive control systems: Implementation and field testing. Transportation Research Record 1811 (2002) 148–156
  • [6] HOMOLOV A J., NAGY I.: Traffic model of a microregion. In Horáček, P., Šimandl, M., Zítek, P., eds.: Preprints of the 16thWorld Congress of the International Federation of Automatic Control, Prague, IFAC (July 2005) 1–6
  • [7] ROUPHAIL N., TAKO Traffic Flow at Signalized Intersections. In: Revised Monograph on Traffic Flow Theory. Turner-Fairbank Highway Research Center (1997) 9–1–9–32
  • [8] DIAKAKI C.: Integrated Control of Traffic Flow in Corridor Networks. PhD thesis, Technical University of Crete, Department of Production Engineering and Management (1999)
  • [9] KALMAN R.E.: New results in linear filtering and prediction theory. Journal of Basic Engineering (1960) 34–45 Transactions ASME.
  • [10] NRGAARD M., P OULSEN N.K., RAVN O.: New developments in state estimation for nonlinear systems.Automatica 36(11) (2000) 1627–1638
  • [11] NERING E., TUCKER A.: Linear programs and related problems. Volume 1. Academic Press (1993)
  • [12] KAPITAN J.: Využití simulačního prostředí pro ověřování různých způsobů řízení dopravy na vybrané oblasti. Master’s thesis, Czech Technical University in Prague, Faculty of Transportation Sciences (2011) In Czech
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL3-0026-0133
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