Implementation of a weather responsive traffic estimation and prediction system (TrEPS) for signal timing at Utah DOT.

Mahmassani, Hani S.; Hou, Tian; Kim, Jiwon; Chen, Ying; Hong, Zihan; Halat, Hooram; Haas, Robert; Science Applications International Corporation; Northwestern University (Evanston, Ill.)

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Implementation of a weather responsive traffic estimation and prediction system (TrEPS) for signal timing at Utah DOT.

Published Date:

2014-07-01

Language:

English

[PDF-4.63 MB]

Details:

Creators:

Mahmassani, Hani S. ; Hou, Tian ; Kim, Jiwon ; Chen, Ying ; Hong, Zihan ; ... More ▼

Corporate Creators:

Science Applications International Corporation ; Northwestern University (Evanston, Ill.) ;

Corporate Contributors:

United States. Federal Highway Administration

Subject/TRT Terms:

Traffic estimation ; Mathematical prediction ; Weather ; Traffic signal timing ; Implementation ; ... More ▼

Publication/ Report Number:

FHWA-JPO-14-140

Resource Type:

Tech Report

Geographical Coverage:

Utah

Corporate Publisher:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office

Abstract:

The overall goal of this project is to integrate and operationalize weather-sensitive TrEPS models calibrated for

the Salt Lake City region to support weather-responsive traffic signal timing implementation and evaluation in

the Riverdale corridor in Ogden, UT. The TrEPS model selected for this study is DYNASMART-X, a real-time

system that interacts continuously with loop detectors, roadside sensors and vehicle probes, providing real-time estimates of traffic conditions, network flow patterns and routing information. The results confirm the

ability of the calibrated TrEPS to replicate observed traffic patterns in a large corridor network. With the current

detectors and roadside sensors coverage, DYNASMART-X is able to use available real-time measurements to

improve the quality of its estimation and future prediction, and thus provide a reliable basis for improved traffic

management decisions that anticipate future conditions. This study successfully demonstrates a working

TrEPS system installed at the UDOT Traffic Management Center and leverages the existing traffic detection

installation to extract real-time traffic state variables as a real-time input to the system.

Format:

PDF

Funding:

DTFH61-12-D-00045

Collection(s):

Federal Highway Administration
Intelligent Transportation Systems Joint Program Office Digital Library

Main Document Checksum:

[+]

Supporting Files:

No Additional Files

No Related Documents.

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