Evidence map›Paper›PMID 40718114›Full record

ArticleAtmosphere2025

Emission Rates for Light-Duty Truck Towing Operations in Real-World Conditions.

Bumsik Kim, Rohit Jaikumar, Rodolfo Souza, Minjie Xu, Jeremy Johnson, Carl R Fulper, James Faircloth, Madhusudhan Venugopal, Chaoyi Gu, Tara Ramani and 8 more

Abstract read
In one paragraph

Article in Atmosphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Bumsik KimTexas A&M Transportation Institute, College Station, TX, USA.
Rohit JaikumarTexas A&M Transportation Institute, College Station, TX, USA.
Rodolfo SouzaTexas A&M Transportation Institute, College Station, TX, USA.
Minjie XuTexas A&M Transportation Institute, College Station, TX, USA.
Jeremy JohnsonTexas A&M Transportation Institute, College Station, TX, USA.
Carl R FulperU.S. Environmental Protection Agency, Office of Transportation and Air Quality, Ann Arbor, MI, USA.
James FairclothU.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA.
Madhusudhan VenugopalTexas A&M Transportation Institute, College Station, TX, USA.
Chaoyi GuTexas A&M Transportation Institute, College Station, TX, USA.
Tara RamaniTexas A&M Transportation Institute, College Station, TX, USA.
Michael AldridgeU.S. Environmental Protection Agency, Office of Transportation and Air Quality, Ann Arbor, MI, USA.
Richard W BaldaufU.S. Environmental Protection Agency, Office of Transportation and Air Quality, Ann Arbor, MI, USA.
Antonio FernandezU.S. Environmental Protection Agency, Office of Transportation and Air Quality, Ann Arbor, MI, USA.
Thomas LongU.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA.
Richard SnowU.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA.
Craig WilliamsConsolidated Safety Services Inc., Durham, NC, USA.
Russell LoganJacobs Technology Inc., Research Triangle Park, NC, USA.
Heidi VreelandU.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Light-duty trucks (LDTs) are often used to tow trailers. Towing increases the load on the engine, and this additional load can affect exhaust emissions. Although heavy-duty towing impacts are widely studied, data on LDT towing impacts is sparse. In this study, portable emissions measurement systems (PEMSs) were used to measure in-use emissions from three common LDTs during towing and non-towing operations. Emission rates were characterized by operating modes defined in the Environmental Protection Agency's (EPA's) MOVES (MOtor Vehicle Emissions Simulator) model. The measured emission rates were compared to the default rates used by MOVES, revealing similar overall trends. However, discrepancies between measured rates and MOVES predictions, especially at high speed and high operating modes, indicate a need for refinement in emissions modeling for LDTs under towing operations. Results highlight a general trend of increased CO2, CO, HC, and NOx when towing a trailer compared to non-towing operations across nearly all operating modes, with distinct CO and HC increases in the higher operating modes. Although emissions were observed to be notably higher in a handful of scenarios, results also indicate that three similar LDTs can have distinctly different emission profiles.

Indexed as

emissionslight-duty trucksMOVESPEMStowing

Identifiers

PMID40718114
PMCPMC12292256

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.