On the effect of capacity drops in highways with service stations

Conference Paper (2023)
Author(s)

Carlo Cenedese (ETH Zürich)

Matteo Lucchini (Pavia University)

Michele Cucuzzella (Pavia University)

Antonella Ferrara (Pavia University)

John Lygeros (ETH Zürich)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/MED59994.2023.10185795
More Info
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Publication Year
2023
Language
English
Affiliation
External organisation
Pages (from-to)
478-483
ISBN (electronic)
9798350315431

Abstract

This paper studies the capacity drops phenomena on a macroscopic, first-order model for freeway traffic. In particular, we focus on the effect that a Service Station (ST) has on the mainstream traffic evolution. We propose a modified formulation of the Cell Transmission Model with service station (CTM-s) that considers this important phenomenon, and use a micro-simulation based on Aimsun Next to identify the model parameters via a structured identification procedure. Finally, we validate the ability of the CTM-s with capacity drops to better describe the traffic evolution with respect to the classical formulation.

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