Most previous algorithms for variable speed limit and variable speed advisory (VSL-VSA) for bottleneck flow maximization are local and occupancy measurement–based. Some algorithms for freeway networks with multiple bottlenecks were proposed on the basis of the second-order METANET model, but these were rather complicated. This paper proposes ( a) a novel simple VSL-VSA control algorithm for bottleneck flow improvement based on speed measurements and ( b) a strategy to expand to a freeway network with multiple bottlenecks by using a distance-based interpolation. The algorithm was validated with a well-calibrated traffic network model for I-66 inside the Capital Beltway around Washington, D.C. Simulation results showed that overall system performance was improved even with a 10% compliance rate, and the improvement was not sensitive to the compliance rate if the latter was greater than 10%. The performance parameters included total travel time, total travel distance, total number of stops, average speed variation, total delays, and flow at the bottlenecks. The VSL-VSA algorithm can be implemented by using infrastructure-to-vehicle communication to a display or to determine the set speed for an adaptive cruise control system or variable message signs on the roadside. The algorithm was conceptually tested with three vehicles that used the VSL as a set speed for their infrastructure-to-vehicle cooperative adaptive cruise control systems.
Novel Algorithm for Variable Speed Limits and Advisories for a Freeway Corridor with Multiple Bottlenecks
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 2489 , 1 ; 86-96
2019-04-04
Article (Journal)
Electronic Resource
English
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