Evaluation of Methods for Left Turn Gap Analysis Using High-Resolution Signal Data

Bassett, David; Azra, Nuzhat; Lunt, Camille; Burbidge, Shaunna K.; Avenue Consultants, Inc

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Evaluation of Methods for Left Turn Gap Analysis Using High-Resolution Signal Data

2021-06-01
By Bassett, David ; Azra, Nuzhat ; Lunt, Camille ; ...

[PDF-5.12 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

English

Details You May Also Like

Details:

Creators:

Bassett, David ; Azra, Nuzhat ; Lunt, Camille ; Burbidge, Shaunna K.

Bassett, David ; Azra, Nuzhat ; Lunt, Camille ; Burbidge, Shaunna K. Less -
Corporate Creators:

Avenue Consultants, Inc
Corporate Contributors:

Utah. Dept. of Transportation. Research Division
Subject/TRT Terms:

[+]

Analysis Methods ATSPM Data Analysis High-resolution Data, Left Turn Gap Left Turn Phase Left Turns Methodology Traffic Signals
Publication/ Report Number:

UT-21.12
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report, April 2020 to June 2021
Corporate Publisher:

Utah. Dept. of Transportation. Research Division
Abstract:

This project evaluates the most under-utilized but potentially the most useful ATSPM measure 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 was 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 (permissive to protected-permissive or protected only). The tool, which was developed in Microsoft Access, is currently being migrated to the ATSPM website to be made available to consultants in the form of a password-protected online tool. Furthermore, the research team has also validated left turn gap aggregates which are produced as part of UDOT’s effort to reduce calculation delays. Recommendations have also been made for possible improvements to the measure on the ATSPM website which is currently in the development phase.
Format:

PDF
Funding:

20-9176
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:7a6a56a432de57656ac1f038340df4ac7e34092cd623e67f2f0cfe3c645aa6fa
Download URL:

https://rosap.ntl.bts.gov/view/dot/60277/dot_60277_DS1.pdf
File Type:

No Additional Files

More +

Evaluation of Methods for Left Turn Gap Analysis Using High-Resolution Signal Data

Details:

Supporting Files

You May Also Like