Performance-Based Operations Assessment of Adaptive Control Implementation in Des Moines, Iowa RB09-016, August 2018

(2018) Performance-Based Operations Assessment of Adaptive Control Implementation in Des Moines, Iowa RB09-016, August 2018. Transportation, Department of

Performance-Based Operations Assessment of Adaptive Control RB09-016.pdf

File Size:4MB


Maintaining optimal mobility on high-volume arterial traffic corridors is important to transportation agencies and the public. Corridor performance often can be enhanced by updating traffic signal timing, but most agencies find it necessary to prioritize their retiming efforts based on resource constraints. To facilitate prioritization, a set of arterial corridor performance measures was developed using INRIX probe vehicle data. These commercially available data are derived from in-vehicle global positioning system (GPS) observations transmitted wirelessly, eliminating the need for supplemental traffic observation infrastructure to be installed in the field. The main objective of this study was to present a methodology to compare arterial corridors in terms of mobility-based performance measures. This process can help agencies select the corridors that are in need of signal retiming and can help identify corridors suited for adaptive signal control implementation. The two-step methodology began by identifying the number of days in a year with abnormal traffic patterns and comparing the volume-normalized performance of the remaining segments to identify corridors that are problematic on normal days. The proposed methodology was applied to 12 corridors in Des Moines, Iowa, and 1 in Omaha, Nebraska. Three corridors were found to have a high number of anomalous days. Among the remaining corridors, three were identified as under-performing on normal days. In addition, the impact of implementing an adaptive signal control system on one corridor (University Avenue) was evaluated, where small improvements in travel rate and daily variation were observed, but the overall variability increased.

Item Type: Departmental Report
Keywords: adaptive control—performance measures—probe vehicle data—traffic signals
Subjects: Transportation
ID Code: 29973
Deposited By: Hannah Gehring
Deposited On: 01 Apr 2019 17:04
Last Modified: 01 Apr 2019 17:04