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Prediction of CO2 Emissions from Light-Duty Vehicles Based on Highway Alignment Sichuan Communication Surveying and Design Institute Company,
- Format:
- Book
- Conference/Event
- Author/Creator:
- Liang, W. Y., author.
- Wang, Yixuan, author.
- Zhao, Xiaoyan, author.
- Cheng, Shenzhen, author.
- Wu, Bing, author.
- Zeng, Weiyi, author.
- Conference Name:
- 2025 2nd International Conference on Sustainable Development and Energy Resources (SDER 2025) (2025-08-01 : Shenzhen, China)
- Language:
- English
- Subjects (All):
- Carbon dioxide.
- Emissions measurement.
- Statistical analysis.
- Roads and highways.
- Emissions.
- Local Subjects:
- Carbon dioxide.
- Emissions measurement.
- Statistical analysis.
- Roads and highways.
- Emissions.
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2026
- Summary:
- In order to allow for the precise prediction of the CO2 emissions of light-duty vehicles during the road design phase and to methodically examine the effect of road alignment on CO2 emissions, this paper classifies the operating conditions of light-duty vehicles according to Vehicle Specific Power (VSP) and the design speed of different road levels. The test vehicle's environmental data and operational parameters under various road conditions were gathered using a Portable Emission Measurement System (PEMS). The CO2 emissions of the test vehicle under different operating conditions were statistically analyzed. Based on the road's horizontal and vertical alignment, the road was separated into analytical units, including straight sections, longitudinal slope sections, horizontal curve sections, and curve-slope combination sections. The indicators of each analysis unit were used to anticipate the speed and acceleration of light-duty vehicles in each unit, and a model for forecasting light-duty vehicle CO2 emissions based on road alignment was developed. The results show that the predicted CO2 emissions based on road alignment have a relatively small error compared to actual emissions, indicating high model accuracy. This model enables relatively accurate predictions of CO2 emissions for light-duty vehicles on target road sections during the road design phase. Among the various road alignment indicators, slope has a greater effect on the test vehicle's CO2 emissions
- Notes:
- Vendor supplied data
- Access Restriction:
- Restricted for use by site license
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