  The effective performance of arterial corridors is essential to community
safety and vitality. Managing this performance, considering the dynamic nature
of demand requires updating traffic signal timings through various strategies.
Agency resources for these activities are commonly scarce and are primarily by
public complaints. This paper provides a data-driven prioritization approach
for traffic signal re-timing on a corridor. In order to remove any dependence
on available detection, probe-based data are used for assessing the performance
measures. Probe-based data are derived from in-vehicle global positioning
system observations, eliminating the need for installing on-field traffic
infrastructure. The paper provides a workflow to measure and compare different
segments on arterial corridors in terms of probe-based signal performance
measures that capture different aspects of signal operations. The proposed
method can serve as a tool to guide agencies looking to alter their signal
control. The methodology identifies a group of dynamic days followed by
evaluation of travel rate based upon non-dynamic days. Dynamic days represent
the variability of traffic on a segment. Performance measures on non-dynamic
days include Median Travel Rate, Within-Day Variability of travel rate,
between-days variability of travel rate Minimum Travel Rate Dispersion, and two
variables which include Overall Travel Rate Variabilities. Consequently, a
corridor having high number of dynamic segments along with poor performance
during normal days would be a candidate for adaptive control. A case study was
conducted on 11 corridors within Des Moines, Iowa where Merle Hay Road and
University Avenue were identified suitable for adaptive control.
