Control strategies for corridor management
PI: A. Skabardonis, UC Berkeley
$119,996

Abstract: Considerable attention has been given to new approaches for improving the transportation system because of limited funding and environmental concerns for constructing new highway facilities. One promising approach is integrated management of travel corridors comprising of freeways and adjacent arterial streets controlled by traffic signals. However, the implementation and effectiveness of corridor management strategies is limited because of the lack of information on traffic conditions on arterials. Recently the availability of High-resolution (HR) data consisting of time-stamped records of every event involving vehicles, together with the signal phase at the signalized intersections provides significant opportunities for assessing the performance of existing control and developing new control strategies. We propose to analyze real-time and archived HR data from three real-world test sites and calculate performance measures. We will next utilize the HR data to develop improved control strategies for arterials, and develop and test corridor management control strategies for both recurrent and non-recurrent (incident related) congestion.

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