Ramp metering and freeway bottleneck capacity
This study aims to determine whether ramp meters increase the capacity of active freeway bottlenecks. The traffic flow characteristics at 27 active bottlenecks in the Twin Cities have been studied for seven weeks without ramp metering and seven weeks with ramp metering. A methodology for systematically identifying active freeway bottlenecks in a metropolitan area is proposed, which relies on two occupancy threshold values and is compared to an established diagnostic method - transformed cumulative count curves. A series of hypotheses regarding the relationships between ramp metering and the capacity of active bottlenecks are developed and tested against empirical traffic data. It is found that meters increase the bottleneck capacity by postponing and sometimes eliminating bottleneck activations, accommodating higher flows during the pre-queue transition period, and increasing queue discharge flow rates after breakdown. Results also suggest that flow drops after breakdown and the percentage flow drops at various bottlenecks follow a normal distribution. The implications of these findings on the design of efficient ramp control strategies, as well as future research directions, are discussed.
Volume (Year): 44 (2010)
Issue (Month): 4 (May)
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- Lei Zhang & David Levinson, 2004. "Some Properties of Flows at Freeway Bottlenecks," Working Papers 200403, University of Minnesota: Nexus Research Group.
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Elsevier, vol. 40(10), pages 810-828, December.
- David Levinson & Lei Zhang, 2006. "Ramp Meters on Trial: Evidence from the Twin Cities Metering Holiday," Working Papers 200604, University of Minnesota: Nexus Research Group.
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"Optimal Freeway Ramp Control without Origin-Destination Information,"
200404, University of Minnesota: Nexus Research Group.
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