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Signal offsets are a signal timing parameter that have a substantial impact on arterial travel times. The traditional technique is to optimize offsets using an offline software package, implement the settings, and then possibly observe field operations. It is not uncommon for a traffic engineer to fine tune the settings by observing the arrivals of platoons at an intersection and make adjustments to the offset based on this qualitative visual analysis. In this paper, we discuss two tools to assist the engineer in the task of managing arterial offsets. First, we introduce the Purdue Coordination Diagram (PCD) as a means of visualizing a large amount of controller and detector event data that allows investigation of the time varying arrival patterns of coordinated movements. The second technique is arterial travel time measurement by vehicle reidentification using Bluetooth MAC address matching. This is used to evaluate existing offsets and assess the impact of implemented offset changes. These tools are demonstrated with a case study involving a before/after comparison of an offset tuning project. PCDs were used to identify causes of poor progression in the before case, as well as visualize both the predicted and actual arrival patterns associated with the optimized offsets. Over 300 Bluetooth probe travel time measurements were used to statistical assess before and after travel time. The statistical comparison showed a significant (at 99% level) 1.7-minute reduction (28%) in mean northbound travel time, corresponding to a 1.9-minute reduction in median northbound travel time. Southbound travel times were not negatively affected by the offset changes.

Visualization and Assessment of Arterial Progression Quality Using High Resolution Signal Event Data and Measured Travel Time