skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Exploring Telematics Big Data for Truck Platooning Opportunities

Abstract

NREL completed a temporal and geospatial analysis of telematics data to estimate the fraction of platoonable miles traveled by class 8 tractor trailers currently in operation. This paper discusses the value and limitations of very large but low time-resolution data sets, and the fuel consumption reduction opportunities from large scale adoption of platooning technology for class 8 highway vehicles in the US based on telematics data. The telematics data set consist of about 57,000 unique vehicles traveling over 210 million miles combined during a two-week period. 75% of the total fuel consumption result from vehicles operating in top gear, suggesting heavy highway utilization. The data is at a one-hour resolution, resulting in a significant fraction of data be uncategorizable, yet significant value can still be extracted from the remaining data. Multiple analysis methods to estimate platoonable miles are discussed. Results indicate that 63% of total miles driven at known hourly-average speeds happens at speeds amenable to platooning. When also considering availability of nearby partner vehicles, results indicate 55.7% of all classifiable miles driven were platoonable. Analysis also address the availability of numerous partners enabling platoons greater than 2 trucks and the percentage of trucks that would be required to bemore » equipped with platooning equipment to realize more than 50% of the possible savings.« less

Authors:
ORCiD logo [1];  [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [3]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Montana State University
  3. Volvo Group
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1435701
Report Number(s):
NREL/CP-5400-70869
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at WCX 18: SAE World Congress Experience, 10-12 April 2018, Detroit, Michigan
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; heavy-duty truck platooning; heavy-duty truck partial automation; heavy-duty truck fuel economy; big data; telematics

Citation Formats

Lammert, Michael P, Bugbee, Bruce, Hou, Yi, Muratori, Matteo, Holden, Jacob, Duran, Adam W, Mack, Andrea, and Swaney, Eric. Exploring Telematics Big Data for Truck Platooning Opportunities. United States: N. p., 2018. Web. doi:10.4271/2018-01-1083.
Lammert, Michael P, Bugbee, Bruce, Hou, Yi, Muratori, Matteo, Holden, Jacob, Duran, Adam W, Mack, Andrea, & Swaney, Eric. Exploring Telematics Big Data for Truck Platooning Opportunities. United States. doi:10.4271/2018-01-1083.
Lammert, Michael P, Bugbee, Bruce, Hou, Yi, Muratori, Matteo, Holden, Jacob, Duran, Adam W, Mack, Andrea, and Swaney, Eric. Tue . "Exploring Telematics Big Data for Truck Platooning Opportunities". United States. doi:10.4271/2018-01-1083. https://www.osti.gov/servlets/purl/1435701.
@article{osti_1435701,
title = {Exploring Telematics Big Data for Truck Platooning Opportunities},
author = {Lammert, Michael P and Bugbee, Bruce and Hou, Yi and Muratori, Matteo and Holden, Jacob and Duran, Adam W and Mack, Andrea and Swaney, Eric},
abstractNote = {NREL completed a temporal and geospatial analysis of telematics data to estimate the fraction of platoonable miles traveled by class 8 tractor trailers currently in operation. This paper discusses the value and limitations of very large but low time-resolution data sets, and the fuel consumption reduction opportunities from large scale adoption of platooning technology for class 8 highway vehicles in the US based on telematics data. The telematics data set consist of about 57,000 unique vehicles traveling over 210 million miles combined during a two-week period. 75% of the total fuel consumption result from vehicles operating in top gear, suggesting heavy highway utilization. The data is at a one-hour resolution, resulting in a significant fraction of data be uncategorizable, yet significant value can still be extracted from the remaining data. Multiple analysis methods to estimate platoonable miles are discussed. Results indicate that 63% of total miles driven at known hourly-average speeds happens at speeds amenable to platooning. When also considering availability of nearby partner vehicles, results indicate 55.7% of all classifiable miles driven were platoonable. Analysis also address the availability of numerous partners enabling platoons greater than 2 trucks and the percentage of trucks that would be required to be equipped with platooning equipment to realize more than 50% of the possible savings.},
doi = {10.4271/2018-01-1083},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Apr 03 00:00:00 EDT 2018},
month = {Tue Apr 03 00:00:00 EDT 2018}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: