|Article title||NEW LOCAL RAMP METERING CONTROL|
|Authors||Boumediene Kamel, Amar Benasser, Daniel Jolly|
|Section||SECTION VII. MODELING OF COMPLEX SYSTEMS|
|Month, Year||01, 2010 @en|
|Abstract||As shown by many works and studies, the traffic flow control remains the best and the efficient solution of the congestion problems. The ramp metering is a means to reduce congestion effects, it has shown his effectiveness to improve the flow and consequently to reduce the Total Time Spent by the vehicles in the network (TTS). In this article, we have defined a new local ramp metering control in order to respect constraints on density and queue length at the vicinity of the on-ramp and at the on- ramp, respectively. The idea is to express the control variable (the metering rate) according to the output (density or queue length at the on-ramp). The aim of the control is to keep the density in the segment where the on-ramp is connected below a density (called the target density yT ) for which we have the lowest TTS with the constraint that the queue length at the on-ramp do not exceed a maximum value. In order to evaluate the controller’s efficiency and applicability, a comparison is made with traditional ALINEA based controller. We illustrate this approach by comparing the cases ’no control’ and ’ramp metering’ for a simple network.|
|Keywords||METANET model; Ramp Metering; Target density; maximum queue length.|
|References||1. Bellemans, B. De Schutter, and B. De Moor. Models for traffic control. Journal A, 43(3–4): 13–22, 2002.
2. Bellemans, B. De Schutter, G. Wets, and B. De Moor. Model predictive control for ramp metering combined with ex- tended kalman filter-based traffic state estimation. Proceedings of the IEEE Intelligent Transportation Systems Con- ference ITSC. – Toronto. – Canada, pages 406–411, September 2006.
3. Hegyi, B De Schutter, and H. Hellendoorn. Model predic- tive control for optimal coordination of ramp metering and variable speed control. Proceedings of the 1st International NAISO Congress on Neuro Fuzzy Technologies (NF 2002), – Havana, – Cuba. – Р. 12, January 2002.
4. Hegyi, B. De Schutter, and H. Hellendoorn. Model predictive control for optimal coordination of ramp metering and variable speed limits. Transportation Research Part C: Emerging Technologies, 13(3):185–209, June 2005.
5. Jacobson, K. Henry, and O. Mahyar. Real-time metering algorithm for centralized control. Transportation Research Record, 1232:17–26, 1989.
6. Kotsialos and M. Papageorgiou. The importance of traffic flow modeling for motorway traffic control. Networks and Spatial Economics, 1(1):179–203, March 2001.
7. Kotsialos M. Papageorgiou, and A. Messmer. Optimal coordinated and integrated motorway network traffic control. In: Proceedings of the 14th International Symposium on Transportation and Traffic Theory (ISTTT), Jerusalem, Israel, pages 621–644, July 1999.
8. Kotsialos, M. Papageorgiou, M. Mangeas, and H. HajSalem. Coordinated and integrated control of motorway networks via non-linear optimal control. Transportation Re- search Part C: Emerging Technologies, 10(1):65–84, February 2002.
9. J. Lighthill and G. B. Whitham. On kinematic waves. i. flood movement in long rivers. Proceedings of the Royal Society of London. Series A, Mathematical and physical Sciences (1934-1990), 229(1178):281–316, May 1955.
10. Papageorgiou, J.M. Blosseville, and H. Haj-Salem. Mod- elling and real-time control of traffic flow on the southern part of boulevard pґeriphґerique in paris: Part II: Coordinated on-ramp metering. Transportation Research Part A: Gen- eral, 24(5):361–370, September 1990.
11. Papageorgiou, H. Hadj Salem, and J. M. Blosseville. A local feedback control law for on-ramp metering. Transportation Research Record, 1320:58–64, 1991.
12. Papageorgiou, H. Hadj-Salem, and F. Middelham. ALINEA local ramp metering: Summary of field results. Transporta- tion Research Record, 1603(12):90–98, January 1997.
13. Richards. Shock waves on the highway. Operations Re- search, 4:42–51, 1956
14. Roess, W.R. McShane, and E.S. Prassas. Traffic Engineering: Second Edition. Prentice Hall, Upper Saddle River, NJ, 1998.
15. R. Scariza. Evaluation of Coordinated and Local Ramp Metering Algorithm Using Microscopic Traffic Simulation PhD thesis, Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering, 2003.
16. Smaragdis and M. Papageorgiou. Series of new local ramp metering strategies. Transportation Research Record: Journal of the Transportation Research Board, 1856:74–86, 2003.
17. J. Taylor, P. C. Young, A. Chotai, and J. Whittaker. Non- minimal state space approach to multivariable ramp metering control of motorway bottlenecks. IEEE Proceedings: Con trol Theory and Applications, 145(5):568–574, 1998.