Presentation Title

Assessment of Various Adaptive Ramp Metering Control Strategies

Faculty Mentor

Wen Cheng

Start Date

18-11-2017 10:00 AM

End Date

18-11-2017 11:00 AM

Location

BSC-Ursa Minor 95

Session

Poster 1

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

System-Wide Adaptive Ramp Metering (SWARM) has been employed on the I-210 freeway for the last ten years. This research was to examine if SWARM had caused vehicle queue spillover problems at I-210 entrance ramps. Freeway vehicle detection station (VDS) and ramp data were collected during 24 hours using the Regional Integration of Intelligent Transportation System (RIITS) web services provided by Los Angeles County Metropolitan Transportation Authority. Spillovers on ramps between I-605 and SR-57 along I-210 were assessed.

Saturation density, SWARM 1, SWARM 2, and SWARM 1/2 rates were calculated based on VDS and ramp metering data. The calculated SWARM 1/2 rate was then compared to the actual SWARM 1/2 rate. Paired t-test was used to determine the difference between the calculated rate and real-life SWARM 1/2 rate at a 95% confidence level. The no-difference statistical t-test indicated that the calculated SWARM 1 rate and SWARM 2 rate would be the real metering rate if the SWARM 1 and SWARM 2 were implemented on I-210, respectively. Vehicle queue on entrance ramps using SWARM strategies were then estimated and verified through field observations.

This assessment concluded that two out of five entrance ramps had experienced vehicle spillover during the afternoon peak hours and the current metering strategy, SWARM 1/2, was superior to SWARM 1 and SWARM 2 strategies. The methodology outlined in this research can be used to analyze SWARM or other ramp metering strategies in different locations.

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Nov 18th, 10:00 AM Nov 18th, 11:00 AM

Assessment of Various Adaptive Ramp Metering Control Strategies

BSC-Ursa Minor 95

System-Wide Adaptive Ramp Metering (SWARM) has been employed on the I-210 freeway for the last ten years. This research was to examine if SWARM had caused vehicle queue spillover problems at I-210 entrance ramps. Freeway vehicle detection station (VDS) and ramp data were collected during 24 hours using the Regional Integration of Intelligent Transportation System (RIITS) web services provided by Los Angeles County Metropolitan Transportation Authority. Spillovers on ramps between I-605 and SR-57 along I-210 were assessed.

Saturation density, SWARM 1, SWARM 2, and SWARM 1/2 rates were calculated based on VDS and ramp metering data. The calculated SWARM 1/2 rate was then compared to the actual SWARM 1/2 rate. Paired t-test was used to determine the difference between the calculated rate and real-life SWARM 1/2 rate at a 95% confidence level. The no-difference statistical t-test indicated that the calculated SWARM 1 rate and SWARM 2 rate would be the real metering rate if the SWARM 1 and SWARM 2 were implemented on I-210, respectively. Vehicle queue on entrance ramps using SWARM strategies were then estimated and verified through field observations.

This assessment concluded that two out of five entrance ramps had experienced vehicle spillover during the afternoon peak hours and the current metering strategy, SWARM 1/2, was superior to SWARM 1 and SWARM 2 strategies. The methodology outlined in this research can be used to analyze SWARM or other ramp metering strategies in different locations.