Print Email Facebook Twitter Ramp Metering with Real-Time Estimation of Parameters Title Ramp Metering with Real-Time Estimation of Parameters Author Knoop, V.L. (TU Delft Transport and Planning) Taale, Henk (TU Delft Transport and Planning) Meulenberg, Michel (Royal HaskoningDHV) van Erp, P.B.C. (TU Delft Transport and Planning) Hoogendoorn, S.P. (TU Delft Transport and Planning) Department Transport and Planning Date 2019 Abstract Demand exceeding the capacity of a bottleneck will create congestion upstream of that bottleneck. Once this congestion occurs, the maximum flow through this bottleneck decreases (capacity drop). By limiting the flow towards the bottleneck, one can prevent or postpone the capacity drop and the accompanying congestion. In case the bottleneck is caused by an on-ramp, a common approach is to meter the on-ramp flow. For metering to be effective the algorithm has to be tuned carefully. Normally, the parameters of a metering algorithm are fit for the situation. However, traffic is dynamic and external factors might change, which both lead to changes in parameters of the traffic process. This paper studies how these parameters can be updated dynamically in the control algorithm. It considers various ramp metering algorithms and introduces methods to adapt their parameters. They are tested with simulations using the METANET model. This shows that parameter adaptation improves traffic state. Gains in travel time due to parameter adaptation are typically several percent compared to non-adaptive ramp metering. Road authorities can use these findings to improve ramp metering algorithms and reduce delays Subject traffic managementtraffic controlramp meteringparameter adaptationparameter adaptation To reference this document use: http://resolver.tudelft.nl/uuid:12ac7395-2ca5-4565-aa8e-591b178c4a3b DOI https://doi.org/10.1109/ITSC.2018.8569808 Publisher IEEE Embargo date 2019-05-07 ISBN 978-172810323-5 Source 21st IEEE International Conference on Intelligent Transportation Systems: November 4-7, 2018, Maui, Hawaii, USA Event 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, 2018-11-04 → 2018-11-07, Maui, United States Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2019 V.L. Knoop, Henk Taale, Michel Meulenberg, P.B.C. van Erp, S.P. Hoogendoorn Files PDF 08569808.pdf 511.87 KB Close viewer /islandora/object/uuid:12ac7395-2ca5-4565-aa8e-591b178c4a3b/datastream/OBJ/view