Localized Analysis of Actual Road Carbon Emissions of Light Vehicles Based on Vehicle Specific Power

Against the backdrop of global advocacy for energy conservation and emission reduction, an understanding of the characteristics of vehicle carbon emissions can help to better formulate emission control strategies and lead the development of powertrain systems. This article reports on an investigation of the feasibility of carbon emission assessment based on both engine operating conditions and vehicle driving conditions. It was found that engine operating parameters can adapt well to CO 2 emissions for fossil fuel powered vehicles. To modify a model of traditional vehicle specific power (VSP) correlated with CO 2 emissions, two alternative parameters, VSP_air and VSP_fuel, have been proposed, which provide better prediction accuracy in linking tailpipe emissions to vehicle activities and engine operation parameters. Conversely, considering the complex geographical terrain of a city such as Chongqing, China, the correlation between VSP and vehicle carbon emissions rate will be significantly increased when the road gradient is coupled with the VSP formula. Moreover, the geospatial visualization of localized carbon emission during a real drive emission test was displayed based on a bubble map. As a result, the localized analysis of actual road carbon emissions of light vehicles based on the VSP method in this study facilitates the development of high-precision carbon accounting in traffic transportation.

Authors

Institutions

Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-05-15
DOI
https://doi.org/10.1177/03611981251332268
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Localized Analysis of Actual Road Carbon Emissions of Light Vehicles Based on Vehicle Specific Power

Kun Wang, Baoli Gong, Feiyang Zhao, Zongqiang Zhu et al.
Transportation Research Record Journal of the Transportation Research Board
Vehicle emissions and performance
article

Localized Analysis of Actual Road Carbon Emissions of Light Vehicles Based on Vehicle Specific Power

Kun Wang, Baoli Gong, Feiyang Zhao, Zongqiang Zhu, Hao Yu, Wenbin Yu, Jianan Chen, Qiang Lv, Jianxun Tan
article en

Abstract

Against the backdrop of global advocacy for energy conservation and emission reduction, an understanding of the characteristics of vehicle carbon emissions can help to better formulate emission control strategies and lead the development of powertrain systems. This article reports on an investigation of the feasibility of carbon emission assessment based on both engine operating conditions and vehicle driving conditions. It was found that engine operating parameters can adapt well to CO 2 emissions for fossil fuel powered vehicles. To modify a model of traditional vehicle specific power (VSP) correlated with CO 2 emissions, two alternative parameters, VSP_air and VSP_fuel, have been proposed, which provide better prediction accuracy in linking tailpipe emissions to vehicle activities and engine operation parameters. Conversely, considering the complex geographical terrain of a city such as Chongqing, China, the correlation between VSP and vehicle carbon emissions rate will be significantly increased when the road gradient is coupled with the VSP formula. Moreover, the geospatial visualization of localized carbon emission during a real drive emission test was displayed based on a bubble map. As a result, the localized analysis of actual road carbon emissions of light vehicles based on the VSP method in this study facilitates the development of high-precision carbon accounting in traffic transportation.

Transportation Research Record Journal of the Transportation Research BoardVol. 2679(8)
Shandong University (CN), China Automotive Engineering Research Institute (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 90%
Vehicle emissions and performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.