A variable speed limit controller for recurrent congestion based on the optimal solution

Jose Ramon Dominguez Frejo, Bart De Schutter

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

The main goal of this paper is the proposal and simulation of a SPEed limit controller for Recurrent Traffic jams (SPERT) that approximates the behavior of an optimal controller when congestion profiles are similar to the typical one. In order to achieve this goal, the optimal solution for the typical demand profile is computed and used as a first estimation for the logic-based controller. If the real congestion differs from the typical one, the values of the speed limits are adapted by advancing or delaying their activation and deactivation. Eleven scenarios have been considered in order to test to proposed controller under different traffic conditions. The results show that the proposed controller is able to approach the optimal behavior (with a better performance that previously proposed easy-to-implement VSL control algorithms) while eliminating on-line computational cost, and increasing robustness.
Original languageEnglish
Title of host publicationProceedings of the Transportation Research Board - 97th 2018 Annual Meeting
Place of PublicationWashington, D.C., USA
PublisherTransportation Research Board (TRB)
Number of pages14
Publication statusPublished - 2018
EventTRB 2018: 97th Annual Meeting of the Transportation Research Board - Walter E. Washington Convention Center, Washington D.C., United States
Duration: 7 Jan 201811 Jan 2018
Conference number: 97

Conference

ConferenceTRB 2018: 97th Annual Meeting of the Transportation Research Board
Abbreviated titleTRB 2018
CountryUnited States
CityWashington D.C.
Period7/01/1811/01/18

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