Efficient Utilization of the Existing ITS System and the Viability of a Proactive Traffic Management System for the Orlando-Orange County Expressway Authority System
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2014-09-01
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TRIS Online Accession Number:1642805
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Abstract:The rapid development of Intelligent Transportation Systems (ITS) has triggered new traffic detection technologies to capture the traffic flow characteristics. The data acquired from these systems provide traffic operators and researchers with different perspectives to evaluate their system, pinpoint the potential problems and make targeted improvement. This report documents the efforts to explore the efficient utilization of the ITS systems on the expressway network operated by Central Florida Expressway Authority (CFX). On CFX's system, multiple ITS systems are in deployment. In this report, detailed work using the traffic data from these existing ITS systems has been conducted to identify the potential applications of current ITS systems on CFX's expressways. The applications include evaluation of current expressway operation and potential improvement using the ITS systems. In addition, since traffic safety is another important indicator of system performance and is closely related to operation. Traffic safety performance on the expressways has also been examined. To achieve these goals, comprehensive database including traffic detection data from Automatic Vehicle Identification (AVI) system and Microwave Vehicle Detection System (MVDS), Dynamic Message Signs (DMS) data, roadway geometric data and crash data have been prepared. Currently, AVI and MVDS sensors have been installed along the expressways in large quantity over the whole system to provide real-time traffic information of the five expressways under CFX's management. Based on the traffic detection data, multiple congestion measures were proposed to determine the mainline segments and ramps that experience congestion. The suggested congestion measures have the advantages of reflecting traffic congestion in real-time manner at numerous locations because of the continuous monitoring of the detection system and high deployment density of sensors along the expressways. Consequently, congestion intensity, time duration and locations have been identified. According to the conclusions of congestion evaluation, congestion mitigation via DMS for queue warning was discussed. The current DMS that can be used for queue warning and potential locations of DMS in the future were identified.
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