Performance Evaluation of Adaptive Ramp-Metering Algorithms Using Microscopic Traffic Simulation Model
Publication: Journal of Transportation Engineering
Volume 130, Issue 3
Abstract
Adaptive ramp metering has undergone significant theoretical developments in recent years. However, the applicability and potential effectiveness of such algorithms depend on a number of complex factors that are best investigated during a planning phase prior to any decision on their implementation. The use of traffic simulation models can provide a quick and cost-effective way to evaluate the performance of such algorithms prior to implementation on the target freeway network. In this paper, a capability-enhanced PARAMICS simulation model has been used in an evaluation study of three well-known adaptive ramp-metering algorithms: ALINEA, BOTTLENECK, and ZONE. ALINEA is a local feedback-control algorithm, and the other two are areawide coordinated algorithms. The evaluation has been conducted in a simulation environment over a stretch of the I-405 freeway in California, under both recurrent congestion and incident scenarios. Simulation results show that adaptive ramp-metering algorithms can reduce freeway congestion effectively compared to the fixed-time control. ALINEA shows good performance under both recurrent and nonrecurrent congestion scenarios. BOTTLENECK and ZONE can be improved by replacing their native local occupancy control algorithms with ALINEA. Compared to ALINEA, the revised BOTTLENECK and ZONE algorithms using ALINEA as the local control algorithm are found to be more efficient in reducing traffic congestion than ALINEA alone. The revised BOTTLENECK algorithm performs robustly under all scenarios. The results also indicate that ramp metering becomes less effective when traffic experiences severe congestion under incident scenarios.
Get full access to this article
View all available purchase options and get full access to this article.
References
Chen, C.-I., Cruz, J. B., Jr., and Paquet, J. G. (1974). “Entrance ramp control for travel rate maximization in expressways.” Transp. Res., 503–508.
Corcoran, L., and Hickman, G. (1989). “Freeway ramp metering effects in Denver.” Proc., 59th Annual Meeting, Institute of Transportation Engineers, Washington, D.C.
Jacobsen, L., Henry, K., and Mahyar, O. (1989). “Real-time metering algorithm for centralized control.” Transportation Research Record 1232, Transportation Research Board, Washington, D.C., 17–26.
Lau, R. (1997). Ramp metering by zone—The Minnesota algorithm, Minnesota Dept. of Transportation.
Paesani, G., Kerr, J., Perovich, P., and Khosravi, E. (1997). “System wide adaptive ramp metering in Southern California.” Proc., 7th Annual, Meeting, ITS America.
Papageorgiou, M., Hadj-Salem, H., and Blosseville, J. M. (1991). “ALINEA: A local feedback control law for on-ramp metering.” Transportation Research Record 1320, Transportation Research Board, Washington, D.C., 58–64.
Papageorgiou, M., Hadj-Salem, H., and Middelham, F. (1997). “ALINEA local ramp metering: Summary of field results.” Transportation Research Record 1603, Transportation Research Board, Washington, D.C., 90–98.
Pearce, V. (2000). “What have we learned about freeway incident and emergency management and electronic toll collection?” “What have we learned about its?” Technical Reports and Papers, U.S. Dept. of Transportation, Washington, D.C.
Smith, M., Druitt, S., Cameron, G., and MacArthur, D. (1994). “Paramics final report.” Technical Rep. EPCC-PARAMICS-FINAL, Univ. of Edinburgh, Scotland, U.K.
Taylor, C., Meldrum, D., and Jacobson, L. (1998). “Fuzzy ramp metering: Design overview and simulation results,” Transportation Research Record 1634, Transportation Research Board, Washington, D.C., 10–18.
Zhang, H., and Ritchie, S. G.(1997). “Freeway ramp metering using artificial neural networks.” Transp. Res., 5C(5), 273–286.
Zhang, H., Ritchie, S. G., and Recker, W. W.(1996). “Some general results on the optimal ramp control problem.” Transp. Res., 4C(2), 51–69.
Information & Authors
Information
Published In
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: Apr 16, 2002
Accepted: May 29, 2003
Published online: Apr 15, 2004
Published in print: May 2004
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.