Cooperative traffic control of a mixed network with two urban regions and a freeway

Transportation Research Part B: Methodological

Volumn 54, Issue , 2013, Pages 17-36

  Haddad, Jack ^a   Ramezani, Mohsen ^a   Geroliminis, Nikolas ^a  

^a EPFL   (Switzerland)

Author keywords

Cooperative decentralized control; Integrated corridor management; Macroscopic Fundamental Diagram; Model Predictive Control; Traffic modeling

Indexed keywords

CONTROLLERS; DECENTRALIZED CONTROL; DECISION SUPPORT SYSTEMS; HIGHWAY TRAFFIC CONTROL; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; TRAFFIC CONTROL; TRANSPORTATION; TRANSPORTATION ROUTES; URBAN TRANSPORTATION;

ASYMMETRIC CELL TRANSMISSION MODELS; INDEPENDENT CONTROL; MACROSCOPIC FUNDAMENTAL DIAGRAM; MACROSCOPIC TRAFFIC MODELING; MICROSIMULATION MODELS; OPTIMIZATION METHOD; TRAFFIC MODEL; TRANSPORTATION NETWORK;

QUALITY CONTROL;

MOTORWAY; OPTIMIZATION; TRAFFIC MANAGEMENT; URBAN REGION; URBAN TRANSPORT;

EID: 84877638203     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2013.03.007     Document Type: Article

References (47)

1. Aboudolas, K., Geroliminis, N., 2013. Feedback perimeter control for multi-region and heterogeneous congested cities. In: Transportation Research Board 92nd Annual Meeting, Washington, DC.
2. Aboudolas K., Papageorgiou M., Kouvelas A., Kosmatopoulos E. A rolling-horizon quadratic-programming approach to the signal control problem in large-scale congested urban road networks. Transportation Research Part C 2010, 18(5):680-694.
3. Bellemans T., De Schutter B., Moor B.D. Model predictive control for ramp metering of motorway traffic: a case study. Control Engineering Practice 2006, 14(7):757-767.
4. Buisson C., Ladier C. Exploring the impact of homogeneity of traffic measurements on the existence of macroscopic fundamental diagrams. Transportation Research Record 2009, 2124:127-136.
5. Camacho E.F., Bordons C. Model Predictive Control 1999, Springer-Verlag, Berlin, Germany.
6. Daganzo C.F. The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory. Transportation Research Part B 1994, 28(4):269-287.
7. Daganzo C.F. Urban gridlock: macroscopic modeling and mitigation approaches. Transportation Research Part B 2007, 41(1):49-62.
8. Daganzo C.F., Gayah V.V., Gonzales E.J. Macroscopic relations of urban traffic variables: Bifurcations, multivaluedness and instability. Transportation Research Part B 2011, 45(1):278-288.
9. Daganzo C.F., Geroliminis N. An analytical approximation for the macroscopic fundamental diagram of urban traffic. Transportation Research Part B 2008, 42(9):771-781.
10. Garcia C.E., Prett D.M., Morari M. Model predictive control: theory and practice - a survey. Automatica 1989, 25(3):335-348.
11. Gartner N.H., Pooran F.J., Andrews C.M. Optimized policies for adaptive control strategy in real-time traffic adaptive control systems, implementation and field testing. Transportation Research Record 2002, 1811:148-156.
12. Gayah V.V., Daganzo C.F. Clockwise hysteresis loops in the macroscopic fundamental diagram: an effect of network instability. Transportation Research Part B 2011, 45(4):643-655.
13. Geroliminis, N., 2009. Dynamics of peak hour and effect of parking for congested cities. In: Transportation Research Board 88th Annual Meeting. No. 09-1685. Washington, DC.
14. Geroliminis N., Boyaci B. The effect of variability of urban systems characteristics in the network capacity. Transportation Research Part B 2012, 46(10):1607-1623.
15. Geroliminis, N., Daganzo, C.F., 2007. Macroscopic modeling of traffic in cities. In: Transportation Research Board 86th Annual Meeting, Washington, DC, Paper No. 07-0413.
16. Geroliminis N., Daganzo C.F. Existence of urban-scale macroscopic fundamental diagrams: some experimental findings. Transportation Research Part B 2008, 42(9):759-770.
17. Geroliminis N., Haddad J., Ramezani M. Optimal perimeter control for two urban regions with macroscopic fundamental diagrams: a model predictive approach. IEEE Transactions on Intelligent Transportation Systems 2013, 14(1):348-359.
18. Geroliminis N., Srivastava A., Michalopoulos P. A dynamic-zone-based coordinated ramp-metering algorithm with queue constraints for minnesota's freeways. IEEE Transactions on Intelligent Transportation Systems 2011, 12(4):1576-1586.
19. Geroliminis N., Sun J. Hysteresis phenomena of a macroscopic fundamental diagram in freeway networks. Transportation Research Part A 2011, 45(9):966-979.
20. Godfrey J.W. The mechanism of a road network. Traffic Engineering and Control 1969, 11(7):323-327.
21. Gomes G., Horowitz R. Optimal freeway ramp metering using the asymmetric cell transmission model. Transportation Research Part C 2006, 14(4):244-262.
22. Haddad J., Geroliminis N. On the stability of traffic perimeter control in two-region urban cities. Transportation Research Part B 2012, 46(1):1159-1176.
23. Hegyi A., De Schutter B., Hellendoorn H. Model predictive control for optimal coordination of ramp metering and variable speed limits. Transportation Research Part C 2005, 13(3):185-209.
24. Hegyi A., De Schutter B., Hellendoorn J. Optimal coordination of variable speed limits to suppress shock waves. IEEE Transactions on Intelligent Transportation Systems 2005, 6(1):102-112.
25. Helbing D. Derivation of a fundamental diagram for urban traffic flow. The European Physical Journal B 2009, 70(2):229-241.
26. Jahn O., Mhring R.H., Schulz A.S., Moses N.E. System-optimal routing of traffic flows with user constraints in networks with congestion. Operations Research 2005, 53(4):600-616.
27. Ji Y., Daamen W., Hoogendoorn S., Hoogendoorn-Lanser S., Qian X. Macroscopic fundamental diagram: Investigating its shape using simulation data. Transportation Research Record 2010, 2161:42-48.
28. Ji Y., Geroliminis N. On the spatial partitioning of urban transportation networks. Transportation Research Part B 2012, 46(10):1639-1656.
29. Keyvan-Ekbatani M., Kouvelas A., Papamichail I., Papageorgiou M. Exploiting the fundamental diagram of urban networks for feedback-based gating. Transportation Research Part B 2012, 46(10):1393-1403.
30. Knoop V.L., Hoogendoorn S.P., Van Lint J.W.C. Routing strategies based on the macroscopic fundamental diagram. Transportation Research Record 2012, 2315:1-10.
31. Kotsialos A., Papageorgiou M., Mangeas M., Haj-Salem H. Coordinated and integrated control of motorway networks via non-linear optimal control. Transportation Research Part C 2002, 10(1):65-84.
32. Lin S., De Schutter B., Xi Y., Hellendoorn H. Fast model predictive control for urban road networks via MILP. IEEE Transactions on Intelligent Transportation Systems 2011, 12(3):846-856.
33. Mahmassani H., Williams J., Herman R. Performance of urban traffic networks. Proceedings of the 10th International Symposium on Transportation and Traffic Theory 1987, Elsevier, Amsterdam, The Netherlands. N. Gartner, N. Wilson (Eds.).
34. Mayne D.Q., Rawlings J.B., Rao C.V., Scokaert P.O.M. Constrained model predictive control: stability and optimality. Automatica 2000, 36(6):789-814.
35. Mazloumian A., Geroliminis N., Helbing D. The spatial variability of vehicle densities as determinant of urban network capacity. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2010, 368(1928):4627-4647.
36. Olszewski P., Fan H.S.L., Tan Y.-W. Area-wide traffic speed-flow model for the Singapore CBD. Transportation Research Part A 1995, 29A(4):273-281.
37. 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.
38. Papageorgiou M., Haj-Salem H., Blosseville J. ALINEA a local feedback control law for on-ramp metering. Transportation Research Record 1991, 1320:58-64.
39. Papageorgiou M., Kotsialos A. Freeway ramp metering: an overview. IEEE Transactions on Intelligent Transportation Systems 2002, 3(4):271-281.
40. Papamichail I., Papageorgiou M. Balancing of queues or waiting times on metered dual-branch on-ramps. IEEE Transactions on Intelligent Transportation Systems 2011, 12(2):438-452.
41. Prashker J.N., Bekhor S. Some observations on stochastic user equilibrium and system optimum of traffic assignment. Transportation Research Part B 2000, 34(4):277-291.
42. Qin S.J., Badgwell T.A. A survey of industrial model predictive control technology. Control Engineering Practice 2003, 11(7):733-764.
43. Saberi, M., Mahmassani, H., 2012. Exploring properties of network-wide flow-density relations in a freeway network. In: Transportation Research Board 91st Annual Meeting, Washington, DC.
44. Samad, T., Annaswamy, A.M. (Eds.), 2011. The Impact of Control Technology. IEEE Control Systems Society. <>. http://www.ieeecss.org.
45. van den Berg M., Hegyi A., De Schutter B., 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.
46. Wardrop J.G. Some theoretical aspects of road traffic research. Proceedings of the Institution of Civil Engineers, Part II 1952, 1(2):352-362.
47. Zhang L., Garoni T., de Gier J. A comparative study of macroscopic fundamental diagrams of arterial road networks governed by adaptive traffic signal systems. Transportation Research Part B 2013, 49:1-23.