@article{ref1,
title="Evaluation of methods for left-turn gap analysis using high-resolution signal data",
journal="Transportation research record",
year="2023",
author="Bassett, David and Burbidge, Shaunna K. and Azra, Nuzhat and Lunt, Camille",
volume="2677",
number="3",
pages="1097-1109",
abstract="This project evaluates the most underutilized but potentially the most useful automated traffic signal performance measure (ATSPM) tool in decision-making for left-turn phasing at signalized intersections. Lack of data quality control or quality checks and a difficulty in using the currently presented measure on the website have been identified as shortcomings of the ?left-turn gap analysis? measure. The purpose of this project is to develop an automated method of flagging intersection approaches in need of left-turn phasing changes based on availability of gaps in opposing through traffic. Through comparison with manually collected data, high-resolution data from selected approaches were validated. The validated sample data were then used to develop a gap analysis tool which, in conjunction with identified automated measures, can identify and flag left-turn locations requiring phasing changes (adjusting between permissive-only, protected-permissive, and protected-only). The tool is currently being migrated to the Utah Department of Transportation ATSPM website to be made available to engineers and consultants in the form of a password-protected online measure.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/03611981221121265",
url="http://dx.doi.org/10.1177/03611981221121265"
}