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March 29, 2026Atmosphere0 citationsOpen Access

Investigating the Influence of Horizontal and Vertical Alignments on Vehicle CO2 Emissions Based on Real-World Testing

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YLYongquan LiLPLing PanYWYunchu Wu

Key Points

  • The research aims to quantify the impact of road geometry on CO2 emissions from gasoline vehicles during real-world driving.
  • Used Portable Emissions Measurement System data along a 62.4 km highway section
  • Analyzed six geometric parameters including longitudinal grade and horizontal curve radius
  • Examined relationships with vehicle dynamics on a second-by-second basis
  • Employed nonlinear polynomial regression to model emission variability
  • Transient emissions showed significant variability with rates exceeding 7.0 g/s at high loads
  • Strongest correlation found between longitudinal slope gradient and emission rate (r = 0.63)
  • Vehicle Specific Power had a stronger association with CO2 emissions than kinematic variables
  • Model performance improved modestly with the nonlinear approach (R2 = 0.21)

Abstract

Road transportation is a major contributor to global CO2 emissions, yet the influence of road geometry on vehicular emissions remains insufficiently quantified under real-world conditions. This study investigates the effects of horizontal and vertical alignments on CO2 emissions of a light-duty gasoline passenger vehicle using Portable Emissions Measurement System (PEMS) data collected along a 62.4 km highway section. Six geometric parameters longitudinal grade, cross slope, horizontal curve radius, horizontal curve length, vertical curve radius, and vertical curve length were analyzed in combination with second-by-second vehicle dynamics. The results indicate that transient CO2 emissions exhibit substantial variability, with instantaneous emission rates exceeding 7.0 g/s under high-load conditions. Longitudinal slope gradient shows the strongest linear association with emission rate (r = 0.63), while speed and acceleration exhibit weaker but statistically significant correlations (r = 0.21 and r = 0.28, respectively). Vehicle Specific Power (VSP), representing integrated tractive power demand, demonstrates stronger association with instantaneous CO2 emissions than individual kinematic variables. In contrast, cross slope and horizontal curvature parameters display minimal direct correlations under the tested highway conditions. A nonlinear polynomial regression model modestly improves explanatory performance relative to a linear formulation (R2 = 0.21 versus 0.15; RMSE approximately 56 g/km), although a substantial portion of variability remains unexplained, reflecting the complexity of transient real-world processes. Overall, vertical alignment and transient driving conditions dominate CO2 emission variability, while horizontal parameters play supplementary roles. These findings provide empirical evidence for refining emission models and highlight the importance of incorporating vertical alignment into sustainable roadway design and carbon reduction strategies.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69c8c28cde0f0f753b39ce80https://doi.org/10.3390/atmos17040338
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