INTEGRATING AN AUTOMATED BOTTLENECK DETECTION TOOL INTO AN ONLINE FREEWAY DATA ARCHIVE

Bottlenecks are key features of any freeway system. Their impacts are of increasing importance as congestion worsens in major urban areas. In the U.S., the Federal Highway Administration (FHWA) has been working to identify and monitor key bottlenecks in each state. In Oregon, a freeway data archive known as PORTAL records count, occupancy, and speed measurements from over 600 freeway locations.. This archive has enabled development of online freeway performance and reliability analysis tools. This paper describes the results of a project aimed at developing an automated tool for identifying recurrent freeway bottlenecks using historical data within the framework of the data archive. Efforts have focused on identification and display of active bottleneck features using graphical tools and the selection of optimal variables that enable the careful identification of active bottlenecks. This research aims to detect bottleneck activation in real time and to expand the use of reliability techniques. Ultimately the results of this research will improve the prioritization of improvements and implementation of operational strategies on the freeway network.

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