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This study couples VISSIM and MOVES models to investigate how speed limits and traffic volume affect carbon emissions during highway expansions, proposing dynamic traffic control strategies. A three-factor crossed experiment is designed, taking speed limit methods, enforcement measures, and traffic volume as variables. Python enables cross-platform data integration, and key parameters cover climate conditions and vehicle profiles. Results show a nonlinear relationship between vehicle speed and emissions: acceleration reduces emissions below 60 km/h but increases them above 100 km/h. Uniform speed limits are optimal for low traffic volumes (≤1,200 vehicles/hour), while lane-specific limits perform better at high volumes (≥1,800 vehicles/hour). Combined enforcement measures reduce emissions by 12%–18% under heavy traffic. The study advocates real-time adjustment of speed thresholds and control strategies to balance safety and sustainability in highway projects.

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The Impact of Speed Limit Strategies and Traffic Volume on Carbon Emissions During Highway Reconstruction and Expansion

  • 会议论文

  • 发表日期：

    2026年

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  • Xiaofei Wang,
  • Haibin Guan,
  • Jiaxi Chen,
  • Xinwei Li,
  • Qiang Zeng

摘要

This study couples VISSIM and MOVES models to investigate how speed limits and traffic volume affect carbon emissions during highway expansions, proposing dynamic traffic control strategies. A three-factor crossed experiment is designed, taking speed limit methods, enforcement measures, and traffic volume as variables. Python enables cross-platform data integration, and key parameters cover climate conditions and vehicle profiles. Results show a nonlinear relationship between vehicle speed and emissions: acceleration reduces emissions below 60 km/h but increases them above 100 km/h. Uniform speed limits are optimal for low traffic volumes (≤1,200 vehicles/hour), while lane-specific limits perform better at high volumes (≥1,800 vehicles/hour). Combined enforcement measures reduce emissions by 12%–18% under heavy traffic. The study advocates real-time adjustment of speed thresholds and control strategies to balance safety and sustainability in highway projects.