Integrated traffic flow and emission control based on FASTLANE and the multi-class VT-macro model

Shuai Liu, B. Schutter, H. Hellendoorn
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引用次数: 9

Abstract

The main goal of this paper is to develop a multi-class traffic flow and emission model that is suited for on-line model-based control. Multi-class traffic flow and emission models take into account the heterogeneous nature of traffic networks. In comparison with single-class models, these models are more accurate. Using more accurate model results in better description of the traffic network. However, this also leads to lower a computation speed when the model is used for on-line model-based control. FASTLANE is a first-order multi-class traffic flow model that is faster than second-order models (such as METANET). However, FASTLANE does not yet describe emission and fuel consumption. Therefore, we propose to integrate FASTLANE with the VT-macro emission model. This results in a combined FASTLANE and multi-class VT-macro model that describes multi-class traffic flows and emissions and that yields a balanced trade-off between the accuracy and the computation speed. On-line model predictive control is used to obtain a balanced optimization of the total time spent and the total emissions. A case study is implemented to validate the efficiency of the new integrated FASTLANE and multi-class VT-macro model. The simulation results indicate that considering the heterogeneous nature of multi-class traffic leads to a better control performance than single-class models.
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基于FASTLANE和多级VT-macro模型的交通流与排放综合控制
本文的主要目标是建立一个适合于基于模型的在线控制的多类别交通流和排放模型。多层次交通流和排放模型考虑交通网络的异构特性。与单类模型相比,这些模型精度更高。使用更精确的模型可以更好地描述交通网络。然而,当将该模型用于基于模型的在线控制时,也会导致计算速度降低。FASTLANE是一阶多类交通流模型,比二阶模型(如METANET)更快。然而,FASTLANE还没有描述排放和燃料消耗。因此,我们建议将FASTLANE与VT-macro排放模型相结合。这就产生了一个结合了FASTLANE和多级VT-macro模型的模型,该模型可以描述多级交通流量和排放,并在准确性和计算速度之间取得了平衡。采用在线模型预测控制实现了总耗时和总排放的平衡优化。通过实例验证了新型集成FASTLANE和多级VT-macro模型的有效性。仿真结果表明,与单类模型相比,考虑多类流量的异构特性可以获得更好的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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