A hybrid model for real time simulation of urban traffic

Control Engineering Practice

Volumn 20, Issue 2, 2012, Pages 123-137

  Basile, Francesco ^a   Chiacchio, Pasquale ^a   Teta, Domenico ^a  

^a UNIVERSITY OF SALERNO   (Italy)

Author keywords

Discrete event systems; Hybrid model; Modeling; Petri Nets; Urban traffic

Indexed keywords

COLORED TIMED PETRI NET; COMPUTATIONAL EFFORT; DISCRETE-TIME MODEL; HYBRID MODEL; PARTICLE FILTER ALGORITHMS; REAL TIME SIMULATIONS; ROAD LINKS; ROUTINGS; SIMULATION-BASED CONTROLS; SYSTEM STATE; URBAN AREAS; URBAN TRAFFIC;

MODELS; PETRI NETS; REAL TIME SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRAFFIC CONTROL;

DISCRETE EVENT SIMULATION;

EID: 83355166792     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2011.10.002     Document Type: Article

References (29)

1. Arulampalam M.S., Maskell S., Gordon N., Clapp T. A tutorial on particle filter for online nonlinear/non-gaussian Bayesian tracking. IEEE Transactions on Signal Processing 2002, 50(2):174-188.
2. Azadivar F. Simulation optimization methodologies. Proceedings of the 1999 winter simulation conference 1999, 93-100.
3. Barisone, A., Giglio, D., Minciardi, R., & Poggi, R. (2002). A macroscopic traffic model for real-time optimization of signalized urban areas. In Proceedings of 41st IEEE conference on decision and control (pp. 900-903), Las Vegas, Nevada, USA.
4. Basile F., Carbone C., Chiacchio P. Simulation and analysis of discrete-event control systems based on Petri nets using PNetLab. Control Engineering Practice 2007, 15:241-259.
5. Basile, F., Carbone, C., Chiacchio, P., Boel, R., & Avram, C. (2004). A hybrid model for urban traffic control. In IEEE international conference on systems, man, and cybernetics (SMC'04) (pp. 1795-1800), The Hague, Netherlands.
6. Basile, F., Chiacchio, P., & Teta, D. (2007). A hybrid model for model predictive control of urban traffic. In 9th European control conference (ECC'07) (pp. 1823-1830), Kos, Greece.
7. Boel, R., & Mihaylova, L. (2004). Modelling freeway networks by hybrid stochastic models. In Proceedings of the IEEE intelligent vehicles symposium (pp. 182-187), Parma, Italy.
8. Boel R., Mihaylova L. A compositional stochastic model for real-time freeway traffic simulation. Transportation Research B 2006, 40(4):319-334.
9. Bolić M., Djurić P., Hong S. New resampling algorithm for particle filter. IEEE international conference on acoustic, speech, and signal processing 2003, 589-592.
10. Correia A., Abbas-Turki A.J., Bouyekhf R., Moudni A.E. Controlling a model of traffic lights based on dioids. 11th IFAC symposium on control in transportation systems 2006, Vol. 11:302-307.
11. Di Febbraro A., Giglio D., Sacco N. Urban traffic control structure based on hybrid Petri Nets. IEEE Transactions on Intelligent Transportation Systems 2004, 5(4):224-237.
12. Di Febbraro A., Sacco N. On modelling urban transportation networks via hybrid Petri nets. Control Engineering Practice 2004, 12(4):1225-1239.
13. Dinopoulou V., Diakaki C., Papageorgiou M. Applications of the urban traffic control strategy TUC. European Journal of Operational Research 2006, 175(3):1652-1665.
14. Dotoli M., Fanti M. An urban traffic network model via coloured timed Petri Nets. Control Engineering Practice 2006, 14(10):1213-1229.
15. Dotoli M., Fanti M., Meloni C. A signal timing plan formulation for urban traffic control. Control Engineering Practice 2006, 14(11):1297-1311.
16. Farges, J., Henry, J., & Tufal, J. (1983). The PRODYN real-time traffic algorithm. In Proceedings of the 4th IFAC symposium on transportation systems (pp. 307-312), Baden Baden, Germany.
17. Gartner, N. H. (1983). OPAC: A demand-responsive strategy for traffic signal control. Transportation Research Record, No. 906. Washington, DC, USA: Transportation Research Board.
18. Hunt P., Robertson D., Bretherton R., Royle M. The SCOOT on-line traffic signal optimisation technique. Traffic Engineering & Control 1982, 23:190-199.
19. Ledoux C. An urban traffic flow model integrating neural networks. Transportation Research Part C: Emerging Technologies 1997, 5(5):287-300.
20. Lowrie, P. (1982). SCATS: The Sydney co-ordinated adaptive traffic system-principles, methodology, algorithms. In Proceedings of the IEE international conference on road traffic signalling (pp. 67-70), London, UK.
21. Mihaylova, L., & Boel, R. (2004). A particle filter for freeway traffic flow estimation. In IEEE 43rd conference on decision and control (pp. 2106-2111), Atlantis, Paradise Island, Bahamas.
22. Mihaylova L., Boel R., Hegyi A. Freeway traffic estimation within recursive Bayesian framework. Automatica 2007, 43(2):290-300.
23. Mirchandani P., Head K. RHODES: A real-time traffic signal control system: Architecture, algorithms, and analysis. Transportation Research Part C: Emerging Technologies 2001, 9(6):415-432.
24. Murata T. Petri Nets: Properties, analysis and applications. Proceedings of the IEEE 1989, 77(4):541-580.
25. Papageorgiou M., Diakaki C., Dinopoulou V., Kotsialos A., Wang Y. Review of road traffic control strategies. Proceedings of the IEEE 2003, 91(12):2043-2067.
26. Porche I., Lafortune S. Dynamic traffic control: Decentralized and coordinated methods. IEEE conference on intelligent transportation system (ITSC 97) 1997, 930-935.
27. Riedel T., Brunner U. Traffic control using graph theory. Control Engineering Practice 1994, 2(3):397-404.
28. Srinivasan D., Chana C.W., Balaji P. Computational intelligence-based congestion prediction for a dynamic urban street network. Neurocomputing 2009, 72(10-12):2710-2716.
29. Van den Berg M., Hegyi A., Schutter B.D., Hellendoorn J. Integrated traffic control for mixed urban and freeway networks: A model predictive control approach. European Journal of Transport and Infrastructure Research 2007, 7(3):223-250.