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 US Transportation Collection
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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