A Local Non-restrictive Ramp Metering Strategy Based on Stochasticity of Capacity

Abstract

A local non-restrictive ramp metering strategy PRO is introduced. It is based on the stochasticity of capacity. The ramp metering algorithm shows innovative features: • upstream time shifted measurements for anticipation • measurements are actuated every second • up to three vehicles per green are allowed Details of the theory of this strategy are described in the first part. At freeway B27 three ramp meters with the PRO algorithm were installed. In the second part, based on extensive detailed traffic and accident data the effects on traffic flow and safety are described. The impact is positive regarding vehicle speed, queue duration and length as well as capacity and traffic safety. The improvements of speeds, travel times and capacities are statistically significant. The ramp metering systems are highly cost effective.

Keywords

freeway operation ; traffic control ; ramp metering ; stochastic capacity

References

1. Athol and Bullen, 1973 P. Athol, A. Bullen; Multiple ramp control for a freeway bottleneck; Highway Research Record, 456 (1973), pp. 50–54
2. BASt, 2012 BASt. (2012). Technical delivery terms for control cabinets (German: Technische Lieferbedingungen für Streckenstationen). Bergisch Gladbach: Federal Highway Research Institute.
3. Brilon and Zurlinden, 2003 Brilon, W., & Zurlinden, H. (2003). Überlastungswahrscheinlichkeiten und Verkehrsleistung als Bemessungskriterium für Straßenverkehrsanlagen. Forschung Straßenbau und Straßenverkehrstechnik 870 .
4. Buhr, 1969 J.H. Buhr; Traffic Characteristics for Implementation and Calibration of Freeway Merging Control Systems; Highway Research Record (1969), p. 279
5. Elefteriadou et al., 1995 L. Elefteriadou, R. Roess, W. McShane; Probabilistic nature of breakdown at freeway merge junctions; Transportation Research Records, 1484 (1995), pp. 80–89
6. Gordon, 1996 R. Gordon; Algorithm for Controlling Spillback from Ramp Meters; Transportation Research Record, 1554 (1996), pp. 162–171
7. Jacobson et al., 2006 L. Jacobson, J. Stribiak, L. Nelson; Ramp Management and Control Handbook; FHWA, Washington (DC) (2006)
8. Jiang et al., 2012 R. Jiang, E. Chung, J. Lee; Local On-ramp Queue Management Strategy with Mainline Speed Recovery; Procedia - Social and Behavioral Sciences (2012), pp. 201–209
9. Papageorgiou et al., 1991 M. Papageorgiou, H. Hadj-Salem, J.-M. Blosseville; A Local Feedback Control Law for On-Ramp Metering; Transportation Research Record, 1320 (1991), pp. 58–64
10. Smaragdis and Papageorgiou, 2003 E. Smaragdis, M. Papageorgiou; Series of new local ramp metering strategies; Transportation Research Record (2003), p. 1858
11. Taale and Middelham, 2000 H. Taale, F. Middelham; Ten Years of Ramp Metering in the Netherlands; Road Transport Information and Control (2000), p. 472
12. Trapp, 2006 Trapp, R. (2006). Developement of a proactive ramp metering algorithm and comparison to other control methods (German: Entwicklung eines proaktiven Verfahrens zur Rampenzuflusssteuerung und die Be-wertung seiner Wirkung im Vergleich zu anderen Steuerungsverfahren). Aachen: Institute of Highway Engineering Aachen, RWTH Aachen University.
13. Trapp, 2008 Trapp, R. (2008). Design of a Proactive Ramp Control Algorithm and the Assessment of its Effeciveness Compared to other Control Methods. 10th International Conference on Application of Advanced Technologies in Transportation 2008. Athens. Von www.dr-ing-trapp.de\lit\trapp_athens_2008.pdf abgerufen.
14. Wattleworth, 1965 J. Wattleworth; Some theoretical investigations; Highway Research Record (1965), p. 89