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<p>Road transport is a major source of CO<sub>2</sub> emissions, making traffic management important for environmental and economic policy. This study proposes a traffic management framework for jointly reducing travel time and carbon emissions through speed regulation in multiclass freeway networks with passenger and freight vehicles. The framework combines multiclass traffic assignment, carbon-abatement analysis, and Bounded Rationality User Equilibrium to represent near-optimal route-choice behaviour. We apply the method to a Tilburg freeway network and a large-scale Melbourne freeway test case. In Tilburg, combining speed control with bounded-rational route flexibility reduces modeled CO<sub>2</sub> emissions by 26% relative to User Equilibrium and by 27% relative to Bounded Rationality User Equilibrium, with limited passenger-cost increases and truck-cost savings. In Melbourne, targeting 12.5% of origin-destination demand and controlling 50.8% of links yields network-wide travel-time and cost reductions above 10%, with smaller emission reductions.</p>

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Sustainable freight and passenger transport with multiclass traffic assignment and speed regulation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月21日

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  • Negin Alisoltani,
  • Sarah Gasmi,
  • Xiao Lin,
  • Lorant A. Tavasszy,
  • Mostafa Ameli

摘要

Road transport is a major source of CO2 emissions, making traffic management important for environmental and economic policy. This study proposes a traffic management framework for jointly reducing travel time and carbon emissions through speed regulation in multiclass freeway networks with passenger and freight vehicles. The framework combines multiclass traffic assignment, carbon-abatement analysis, and Bounded Rationality User Equilibrium to represent near-optimal route-choice behaviour. We apply the method to a Tilburg freeway network and a large-scale Melbourne freeway test case. In Tilburg, combining speed control with bounded-rational route flexibility reduces modeled CO2 emissions by 26% relative to User Equilibrium and by 27% relative to Bounded Rationality User Equilibrium, with limited passenger-cost increases and truck-cost savings. In Melbourne, targeting 12.5% of origin-destination demand and controlling 50.8% of links yields network-wide travel-time and cost reductions above 10%, with smaller emission reductions.