(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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Main Document Checksum:urn:sha-512:765921a4238abe9f08398ff0a671b8c855d2d15a6dc9a69db26596e0f968c3644f4b9e3393dd50d8b2ff3ef854ec448c7f9dd9d45c665ec6234b4ca567536aa2