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A varying parameter multi-class second-order macroscopic traffic flow model for coordinated ramp metering with global and local environmental objectives
Transportation Research Part C: Emerging Technologies ( IF 7.6 ) Pub Date : 2021-05-24 , DOI: 10.1016/j.trc.2021.103106
Apostolos Kotsialos

This paper presents the design of a coordinated ramp metering strategy based on a newly developed multi-class second-order macroscopic traffic flow model coupled with a pollutant emissions model. The approach followed for obtaining the parameters of the multi-class model is based on sigmoid surfaces spanning over traffic density and composition. An optimal control problem is formulated for designing an environmentally sustainable, efficient and equitable coordinated ramp metering strategy. In addition to the global network-wide objective of total emissions minimisation, two different types of environmental constraints are introduced for addressing local requirements. The resulting static large-scale optimisation problem is solved using the Differential Evolution algorithm. A small case study is provided analysing the multi-class flow model and the strategy’s application.



中文翻译:

具有全局和局部环境目标的可变参数多类二阶宏观交通流量模型,用于协调匝道计量

本文提出了一种基于新开发的多类二阶宏观交通流量模型和污染物排放模型的协调匝道计量策略的设计。获取多类模型参数所遵循的方法基于跨越交通密度和组成的S形曲面。为设计一种环境可持续,有效和公平的协调匝道计量策略,提出了一个最佳控制问题。除了在全球范围内实现总排放量最小化的目标外,还引入了两种不同类型的环境约束来满足本地需求。由此产生的静态大规模优化问题可以使用差分进化算法解决。

更新日期:2021-05-24
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