Performance Measures for Freight & General Traffic : Investigating Similarities and Differences Using Alternate Data Sources

Habtemichael, Filmon; Paleti, Rajesh; Cetin, Mecit

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Performance Measures for Freight & General Traffic : Investigating Similarities and Differences Using Alternate Data Sources

2015-06-01
By Habtemichael, Filmon ; Paleti, Rajesh ; Cetin, Mecit

File Language:

English

Details

Creators:

Habtemichael, Filmon ; Paleti, Rajesh ; Cetin, Mecit
Corporate Creators:

Old Dominion University. Transportation Research Institute
Corporate Contributors:

United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Virginia Center for Transportation Innovation and Research
Abstract:

Recent advances in probe vehicle data collection systems have enabled monitoring traffic conditions at finer temporal and spatial resolution. The primary objective of the current study is to leverage these probe data sources to understand if there are any significant differences between freight and general traffic characteristics. To this end, different types of performance measures (PMs) including speed, travel time, and reliability were estimated from three different data sources- INRIX, HERE, and ATRI. The analyses conducted for the Hampton Roads network suggest that while in most cases general traffic PMs serve as a good proxy for characterizing freight traffic, in some cases, there can be significant differences either in average speeds/travel times or reliability (i.e., variation about mean). So, in the absence of freight-specific data, researchers planning to use general traffic data as a surrogate must exercise caution.
Format:

PDF
Funding:

DTRT13-G-UTC33
Download URL:

https://rosap.ntl.bts.gov/view/dot/29010/dot_29010_DS1.pdf
File Type:

[PDF - 2.26 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha256:059e279516586d04e613e51b10ed1944a7713f2e326e325a5ef19733e92c9111

File Language:

English

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