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Model-based traffic control for balanced reduction of fuel consumption, emissions, and travel time

机译:基于模型的流量控制,均衡减少燃料消耗,排放和旅行时间

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In this paper we integrate the macroscopic traffic flow model METANET with the microscopic dynamic emission and fuel consumption model VT-Micro. We use the integrated models in the model predictive control (MPC) framework to reduce exhaust emissions, fuel consumption, and travel time using dynamic speed limit control. With simulation experiments we demonstrate the countereffects and conflicting nature of the different traffic control objectives. Our simulation results indicate that a model-based traffic control approach, particularly MPC, can be used to obtain a balanced trade-off between the conflicting traffic control objectives.
机译:在本文中,我们将宏观交通流量模型元数与微观动态发射和燃料消耗模型VT-Micro集成。我们使用模型预测控制(MPC)框架中的集成模型来减少使用动态速度限制控制的排气排放,燃料消耗和旅行时间。利用仿真实验,我们展示了不同交通管制目标的反效应和冲突性质。我们的仿真结果表明,基于模型的流量控制方法,特别是MPC,可用于在冲突的交通控制目标之间获得平衡的权衡。

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