Lesson

Probe vehicle data provide a "flexible and robust" basis for identifying inefficient arterial corridors.

The Iowa DOT study used already-purchased traffic data in lieu of expensive field infrastructure to identify corridors in need of optimization.


08/01/2018


Background (Show)

Lesson Learned

The study methodology identified three corridors with high numbers of "anomalous" days, and three that performed poorly on "normal" days.

Researchers characterized the analysis used as "extensible," and considered the available performance metrics from the data to be both "flexible and robust" in accurately identifying problematic corridors.

The study suggested that its methods may be expanded to cost-benefit analyses, to identify agency priorities for arterial improvements, or to effectively automate the process of screening locations for signal re-timing.

Though dollar amounts were not given, as the data used had already been purchased by the Iowa DOT the cost savings incurred by not purchasing and installing field infrastructure were indicated to be considerable.


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Source

Performance-Based Operations Assessment of Adaptive Control Implementation in Des Moines, Iowa

Author: Sharma, Anuj et.al.

Published By: Institute for Transportation, Iowa State University

Source Date: 08/01/2018

URL: https://rosap.ntl.bts.gov/view/dot/36845

Lesson Contacts

Lesson Analyst:

Ned Schweikert
Noblis
edward.schweikert
@noblis.org


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Lesson ID: 2018-00847