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Fig 1.

Road geometry.

(a) Road alignment. (b) Road superelevation.

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Fig 1 Expand

Fig 2.

Distribution of road alignment indicators.

(a) Radius (R) of circular curve (m). (b) Grade (t), vertical rise/slope length (%).

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Fig 2 Expand

Table 1.

Simulation parameters of vehicle.

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Table 1 Expand

Table 2.

Classification standards for expressway alignment analysis units.

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Table 2 Expand

Fig 3.

Target curves and actual value of the vehicle operating speed.

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Fig 3 Expand

Table 3.

Model parameter of MOVES.

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Table 3 Expand

Fig 4.

VSP variation curve.

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Fig 4 Expand

Fig 5.

VSP distribution patterns.

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Fig 5 Expand

Fig 6.

Spatial distribution of VSP from the (a) LDV and (b) HDV. HC, horizontal curve; CS, curve–slope combination; S, straight; SS, short straight; LS, longitudinal slope.

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Fig 6 Expand

Table 4.

Normality test for VSP mean value distribution of different alignment units.

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Table 4 Expand

Fig 7.

Box plots of VSP spatial distribution of the (a) LDV and (b) HDV.

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Fig 7 Expand

Table 5.

Carbon emission equivalent value per second.

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Table 5 Expand

Fig 8.

Correlation between VSP and carbon emissions from the (a) LDV and (b) HDV.

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Fig 8 Expand

Table 6.

Total carbon emissions.

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Table 6 Expand

Table 7.

Relevant real-vehicle emission test data.

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Table 7 Expand

Fig 9.

Carbon emission per kilometer at each alignment unit of the (a) LDV and (b) HDV.

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Fig 9 Expand

Table 8.

Correlation degree between carbon emissions per kilometer and various factors.

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Table 8 Expand

Fig 10.

Monthly average temperature and humidity at different altitudes.

Data are the average monthly temperature and humidity values for each month in recent 10 years and were obtained from the China Weather website, http://www.weather.com.cn/.

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Fig 10 Expand

Table 9.

Average speed distribution conditions of MOVES county scale model.

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Table 9 Expand

Fig 11.

Monthly carbon emission change curve at different altitudes of the (a) LDV and (b) HDV. st, average number of vehicle starts.

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Fig 11 Expand