Details:

Creators:
Mahmassani, Hani S. ; Hou, Tian ; Kim, Jiwon ; Chen, Ying ; Hong, Zihan ; ... More +
Mahmassani, Hani S. ; Hou, Tian ; Kim, Jiwon ; Chen, Ying ; Hong, Zihan ; Halat, Hooram ; Haas, Robert Less -
Corporate Creators:
Science Applications International Corporation ; Northwestern University (Evanston, Ill.)
Science Applications International Corporation ; Northwestern University (Evanston, Ill.) Less -
Corporate Contributors:
United States. Federal Highway Administration
Subject/TRT Terms:
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Dynamic Traffic Assignment
Evaluation
Implementation
Mathematical Prediction
Real Time Information
Road Weather Information Systems
Traffic Estimation
Traffic Models
Traffic Signal Timing
Weather

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):
ITSJPO Digital Library
Federal Highway Administration
Main Document Checksum:
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urn:sha256:205bdbdcba9783e521c702e6d34bc17ee8e051eaeecfcc4db313112f575b04cd
File Type:

Supporting Files

• No Additional Files

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