Report 26-R51: Analyzing and Predicting Truck Travel Time Reliability [Research Project Brief]

Zhao, Mo; Appiah, Justice

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Report 26-R51: Analyzing and Predicting Truck Travel Time Reliability [Research Project Brief]

2026-06-01
By Zhao, Mo ; Appiah, Justice

File Language:

English

Details

Creators:

Zhao, Mo ; Appiah, Justice
Corporate Creators:

Virginia Transportation Research Council (VTRC)
Corporate Contributors:

Virginia. Department of Transportation
Subject/TRT Terms:

Data Collection Intermodal Transportation Interstate Highways Mathematical Prediction Performance Measurement Programming (Planning) Travel Time Reliability Trucks
Publication/ Report Number:

26-R51
Resource Type:

Brief
Geographical Coverage:

United States ; Virginia
Edition:

Research Brief
Corporate Publisher:

Virginia Transportation Research Council (VTRC)
Abstract:

The study analyzed 2019–2025 National Performance Management Research Data Set truck travel time data for 1,743 interstate segments alongside traffic, roadway, crash, incident, and weather information. Three modeling approaches were tested: a hierarchical Bayesian model, random forest models for each period analyzed (AM peak, midday, PM peak, overnight, and weekends), and a simple linear trend baseline.
Format:

PDF
Collection(s):

FAA William J. Hughes Technical Center for Advanced Aerospace
Main Document Checksum:

urn:sha-512:c7f6487d76574987e650a513ae70c38c14f487b369c42f8f559aa022dda477e54ce63e8b35ff63acbc3b50e62004cdf0210cb6508aac922f16476bf2327a11c1
Download URL:

https://rosap.ntl.bts.gov/view/dot/92435/dot_92435_DS1.pdf
File Type:

[PDF - 388.44 KB ]

File Language:

English

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