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ITS: Intelligent Transportation Systems - multi-criteria control problems

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PL
ITS: Inteligentne Systemy Transportowe - problemy sterowania wielokryterialnego
Języki publikacji
EN
Abstrakty
EN
The ITS systems offers high capabilities for the implementation of advanced multi-criteria traffic control methods. The crucial problems in this area are related with adeąuate flexibility of control actions to the estimated and predicted traffic demand. Very illustrative examples in this area are demand-supply behavioral interactions visible in the operation of an urban network where network link flows are a result of such interactions. The ITS systems offering dedicated services like VMS (Variable Message Signs), v-v/v-i (vehicle to vehicle/vehicle to infrastructure) communication, RGS (Route Guidance Systems) which can influence the network users behavioral patterns but the level of these influences is to a high degree uncertain. The representative set of traffic flows are crucial inputs for area-wide traffic coordination and control problems. In the paper the proposal of real-time recognition of behavioral patterns on different layers of HITS (Hierarchical Integrated multi-layer Transportation System) system is presented especially in the context of intelligent multi-criteria users-oriented traffic control actions to be a reaction on recognized users behavioral and estimation of these behavioral patterns. The advantages of the proposed approach are illustrated by examples of real-time solutions and comparisons with the existing off-line intuitive solutions.
PL
Inteligentne Systemy Transportowe oferują znaczne możliwości implementacji zaawansowanych wielokryterialnych systemów sterowania ruchem drogowym. Podstawowe problemy w tym obszarze związane są z odpowiednią elastycznością sterowania w reakcji na szacowany i przewidywany popyt. ITS oferujące usługi, takie jak: znaki zmiennej treści, komunikacja między pojazdami oraz infrastrukturą drogową, a także systemy wyznaczania tras, wpływają na wzorce zachowań użytkowników sieci drogowej, jednak wpływ ten jest trudny do oszacowania. Z kolei dane dotyczące natężeń ruchu są podstawowe dla problemów optymalnego sterowania i koordynacji obszarowej. W pracy przedstawiono propozycję systemu rozpoznawania wzorców zachowań na różnych poziomach Hierarchicznego Zintegrowanego Systemu Transportowego (HITS), które stanowią podstawę działania inteligentnego wielokryterialnego sterowania ruchem. Zalety proponowanej metody zilustrowano rzeczywistymi przykładami.
Wydawca
Rocznik
Strony
19--28
Opis fizyczny
Bibliogr. 25 poz., rys., wykr., tab.
Twórcy
autor
  • Cracow University of Technology, Civil Engineering Faculty, Krakow, Poland
autor
  • Cracow University of Technology, Civil Engineering Faculty, Krakow, Poland
Bibliografia
  • 1. Adamski A. 1983, Optimal Dispatching Control of Bus Lines. Proc 4th IFAC/IFIP/IFOR S Inter. Conf. on CONTROL in TRANSPORTATION SYSTEMS, Baden-Baden 67-72.
  • 2. Adamski A. 1992 , Probabilistic models of passengers service processes at bus stops. Transportation Research B, 26,pp. 253-259.
  • 3. Adamski A. 1992, Application of Neural Network Models to Optimal Traffic Control in Urban Networks. In: Gartner N.G., Improta G., eds. URBAN TRAFFIC NETWORKS, COMPENDIUM 2, pp. 841-857.
  • 4. Adamski A. 1993, Optimal Adaptive Dispatching Control in an Integrated Public Transport Management System. 2nd EURO WG Conf. INRETS ACTES 917-938. 1993.
  • 5. Adamski A. 1995, Multi-criteria Traffic Control with Video Feedback. Proc. 4-th AATT Conference, Eds. Y. J. Stephanedes, F. Filippi, ASCE Publ, pp.620-627, 1995.
  • 6. Adamski A. 1995, Real-time computer-aided control inpublic transport from the point of view of schedule reliability. Lecture Notes in Economics and Mathematics 430, 23-38.
  • 7. Adamski A. 1996, Flexible Dispatching Control Tools in Public Transport. In Advanced Methods in Transportation Analysis eds. L Bianco, P Toth, Springer 1996, 481-506.
  • 8. Adamski A. 1996, Multi-criteria Traffic Control with Video Feedback. Applications of Advanced Technologies in Transportation Engineering. Eds. YJ. Stephanedes, F. Filippi. ASCE Publications. pp. 620-627.
  • 9. Adamski A. 1997, REALBAND- Real-time traffic movement coordinating along an arteria! using data from video-detector. AUTOMATICS, vol. 2.
  • 10. Adamski A., K. Florek 1997, TEDMAN System Analysis Approach for Traffic Control on a Signalized Junctions. AUTOMATICS, vol. 1 , pp. 286-298.
  • 11. Adamski A. 1998, PIACON: Traffic Control Method with Video Feedback. AATT Conference Eds. Chris T. Chendrickson,.S. Ritchie, ASCE Publ. 1801,pp.217-224. 1998.
  • 12. Adamski A. 1999, Integrated Transportation Systems. Modeling and Management in Transportation EURO WG on Transportation vol. 1, pp. 21-34, 1999.
  • 13. Adamski A., Florek K. 1999, Minimum Entropy Traffic Control with video-detectors feedback. Proc. Int. Conference on Modeling and Management in Transportation Eds. A. Adamski, A. Rudnicki, J. Zak) vol.2. pp. 85-92, Poznań-Kraków 1999.
  • 14. Adamski A. 2002, ITS: Integrated Transportation Systems. Archives of Transport Quarterly, Polish Academy of Science, vol. 14, issue 2, pp. 5-22, 2002.
  • 15. Adamski A. 2002, Intelligent Integrated Transportation Systems. 9-th Meeting of the EURO WG Intermodality, Sustainability and ITS, Bari, 565-570, 2002.
  • 16. Adamski A. 2003, ITS: Management, Surveillance and Control. Monograph: AGH University Scientific Publications, 2003, Kraków.
  • 17. Adamski A. 2005, PIACON-DISCON integrated approach to public transport priority control at traffic signals., pp. 417-22, Advanced OR and AI Methods in Transportation, Publishing House Poznań University of Technology, 2005.
  • 18. Adamski A. 2006a, PIACON: Robust vehicle trajectory based arteria! multi-criteria traffic signal control. Extra EURO Conf. on Handling Uncertainty in Transport Bari 608-615.
  • 19. Adamski A. 2006b, Integrated traffic management, surveillance and control systems in urban areas. TiBT06 Transport Telematics and Safety, pp. 104-112, 2006.
  • 20. Adamski A. 2006c, IILS: Integrated Intelligent Logistics Systems, Kraków University of Technology Logistics Conference, pp.25-38, 2006.
  • 21. Adamski A. 2007, Intelligent anticipative dispatching control system in public transport. Monograph: Transactions on Transport Systems Telematics: Modelling, Management and Image Processing, pp. 70-75. Silesian University Press.
  • 22. Cantarella G.E. 1993, Day to day dynamics in transportation networks stability and limits of equilibrium in two-link network Sistemi Urbani 1 , pp. 27-50.
  • 23. Cea,. J. Fernandez, L Grange 2008, Combined Models with Hierarchical Demand Choices: A Multi- Objective Entropy Optimisation Approach, Transport Reviews, vol. 28, no. 4. 415-38.
  • 24. Meneguzzer C. 1997, Review of models combining traffic assignment and signal control Journal of Transport Eng. 123-2, pp. 148-155.
  • 25. Meneguzzer C. 2011, Dynamic process models of combined traffic assignment and control with different signal updating strategies ibid (to appear).
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Bibliografia
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