Carbon emission model of vehicles driving at fluctuating speed on highway

Dong, Yaping; Xu, Jinliang; Ni, Jie

doi:10.1007/s11356-022-23064-y

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…(1) Test vehicles Two types of passenger cars and three types of trucks are selected as typical vehicles, which are referenced from the results of the authors' survey (Dong et al, 2023) (2) Test road sections To measure the direct effect of road plane alignment on vehicle carbon emissions and exclude the effect of route longitudinal section alignment on carbon emissions, the Chang'an University automobile test site was chosen as the test site. By measuring and setting up 13 circular curve test sections in the automobile test site, the radii of the circular curves are 100 m, 150 m, 200 m, 250 m, 300 m, 350 m, 400 m, 450 m, 500 m, 550 m, 600 m, 800 m, and 1500 m, respectively, and the automobile test site is a flat cement concrete pavement, the longitudinal slopes slope ranges from −1~1%, and there is no set road cross slope.…”

Section: Field Test Methodologymentioning

confidence: 99%

“…n co2 is the conversion factor between the driving energy and the carbon emission. Based on the positive correlation between the energy and carbon emissions of vehicle fuels, the authors' previous research literature (Dong et al, 2023) used the IPCC. ( 2006) to obtain carbon emission rates of 0.296 kgCO 2 /MJ and 0.213 kgCO 2 /MJ for gasoline and diesel engines, respectively.…”

Section: Theoretical Modeling Of Carbon Emissions From Traveling Vehi...mentioning

confidence: 99%

“…W t ′ denotes the work done by the engine counter drag force at idle coasting (N m). Q h indicates the mechanical energy consumed by the braking force (N m) (Dong et al, 2023).…”

Section: Indirect Effects Of Horizontal Curve Alignment On Vehicle Ca...mentioning

confidence: 99%

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Modeling of vehicle carbon emissions on horizontal curve road sections

Dong,

Li,

2024

Front. Energy Res.

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The high carbon emissions of vehicles traveling on horizontal curve road sections cannot be ignored. Facing the difficulty of accurately quantifying the carbon emission of driving on horizontal curves and the unknown causes of high carbon emission, this study proposes to construct a carbon emission prediction model applicable to road sections with different planar geometries. The direct and indirect effects of horizontal curve alignment on vehicle carbon emissions are represented in the model in terms of travel stabilization and speed changes, respectively. A lateral force coefficient parameter was introduced into the model to integrate the carbon emission quantification problem for different planar geometry sections. Meanwhile, field tests were conducted to assess the reliability of the model and the research findings. The model reveals that the geometric parameters of horizontal curves that affect carbon emissions are the radius of the circular curve, the superelevation, and the length of the gentle curve. The root causes of high carbon emissions on horizontal curve road sections are curve driving resistance and speed fluctuations. Under the free-flow driving condition of the highway, the maximum curve radius affecting the carbon emissions of passenger cars and trucks is 400 m and 550 m, respectively. The research results can realize the carbon emission quantification of vehicles on the road sections with different plane geometries. Also, it is helpful to control the high carbon emission of vehicles traveling on horizontal curve road sections.

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Section: Field Test Methodologymentioning

confidence: 99%

Section: Theoretical Modeling Of Carbon Emissions From Traveling Vehi...mentioning

confidence: 99%

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Modeling of vehicle carbon emissions on horizontal curve road sections

Dong,

Li,

2024

Front. Energy Res.

Self Cite

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“…Many scholars have conducted research on this issue. When characterizing the emission characteristics of different operating conditions, instantaneous operating parameters such as speed [7,8], acceleration [9,10], fuel consumption [11,12], and driving distance [13] are used while the vehicle specific power (VSP) is a newly proposed alternative parameter in correlation with speed and acceleration. Jimenez et al [14] found that the VSP could capture the majority of the dependence of light vehicle emissions on driving conditions when combined with traffic flow data, thus improving the accuracy of the predicted emissions.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Traffic Carbon Emission Factor Based on Sensitivity and Uncertainty Analysis

Chen,

Yu,

et al. 2024

Energies

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The premise for formulating effective emission control strategies is to accurately and reasonably evaluate the actual emission level of vehicles. Firstly, the active subspace method is applied to set up a low-dimensional model of the relationship between CO2 emission and multivariate vehicle driving data, in which the vehicle specific power (VSP) is identified as the most significant factor on the CO2 emission factor, followed by speed. Additionally, acceleration and exhaust temperature had the least impact. It is inferred that the changes in data sampling transform the establishment of subspace matrices, affecting the calculation of eigenvector components and the fitting of the final quadratic response surface, so that the emission sensitivity and final fitting accuracy are impressionable by the data distribution form. For the VSP, the best fitting result can be obtained when the VSP conforms to a uniform distribution. Moreover, the Bayesian linear regression method accounts for fitting parameters between the VSP and CO2 emission factor with uncertainties derived from heteroscedastic measurement errors, and the values and distributions of the intercept and slope α and β are obtained. In general, the high-resolution inventory of the carbon emission factor of the tested vehicle is set up via systematically analyzing it, which brings a bright view of data processing in further counting the carbon footprint.

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Research on Carbon Emission Characteristics of Large Vehicles and Vertical Slope Optimization Design

Wang,

Chen,

et al. 2024

Lecture Notes in Electrical Engineering

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Carbon emission model of vehicles driving at fluctuating speed on highway

Cited by 8 publications

References 29 publications

Modeling of vehicle carbon emissions on horizontal curve road sections

Modeling of vehicle carbon emissions on horizontal curve road sections

Investigation on Traffic Carbon Emission Factor Based on Sensitivity and Uncertainty Analysis

Research on Carbon Emission Characteristics of Large Vehicles and Vertical Slope Optimization Design

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