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原文传递 Real-Time Adaptive Ramp Metering: Phase I - MILOS (Multi-Objective, Integrated, Large-Scale Optimized System) Proof of Concept. Final rept.

题名：	Real-Time Adaptive Ramp Metering: Phase I - MILOS (Multi-Objective, Integrated, Large-Scale Optimized System) Proof of Concept. Final rept.
作者：	Head-L.; Mirchandani-P.
关键词：	*Adaptive-ramp-metering.;Freeway-Management-System; Traffic-management-system; Controller-.
摘要：	Over the last several years, researchers at the University of Arizonas 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 Transportations (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.
报告类型：	科技报告