(multi-objective, integrated, large-scale, optimized system).
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2006-12-01
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Edition:Final report; $b Dec. 2004-June 2006.
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Abstract:Over the last several years, researchers at the University of Arizona’s ATLAS Center have developed an adaptive ramp
metering system referred to as MILOS (Multi-Objective, Integrated, Large-Scale, Optimized System). The goal of this project
is a “Phase I” implementation of the system for a segment of the I-10 corridor in Phoenix, as part of the Arizona Department
of Transportation’s (ADOT) Freeway Management System (FMS).
In this Phase I effort the objective was to implement software/hardware components so that detector data from the freeway
are provided to MILOS and, in turn, MILOS provides ramp-metering rates, which are subsequently set at the ramp
controllers through the ADOT Traffic Management System NTCIP interface. A proof-of-concept demonstration was
successful. The integrated system ran successfully for over one hour. It was concluded that the system accomplished the
goal of closing the loop between FMS mainline data collection, the MILOS algorithms, and the new NTCIP ramp controllers
connected to the ADOT Traffic Management System.
A “Phase II” effort is planned that will identify performance capabilities of MILOS and the communication and detection
issues that need to be addressed for wide-scale deployment.
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