Highlights METANET extension to non-destination oriented multi-class version. Sigmoid functional dependence of model parameters on flow composition. Aggregation of multiple vehicle classes into generalized classes. Local scope emissions constraints for ramp metering control problem formulation. Differential Evolution algorithm for the coordinated ramp metering control problem.

    Abstract 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.


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    Title :

    A varying parameter multi-class second-order macroscopic traffic flow model for coordinated ramp metering with global and local environmental objectives


    Contributors:


    Publication date :

    2021-03-21




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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