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 be equipped with platooning equipment to realize more than 50% of the possible savings.
Original language | American English |
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Number of pages | 7 |
DOIs | |
State | Published - 2018 |
Event | WCX 18: SAE World Congress Experience - Detroit, Michigan Duration: 10 Apr 2018 → 12 Apr 2018 |
Conference
Conference | WCX 18: SAE World Congress Experience |
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City | Detroit, Michigan |
Period | 10/04/18 → 12/04/18 |
Bibliographical note
Posted with permissionNREL Publication Number
- NREL/CP-5400-70869
Keywords
- big data
- heavy-duty truck fuel economy
- heavy-duty truck partial automation
- heavy-duty truck platooning
- telematics