In this paper we investigate a typical phenomenon of congested traffic: the stop-and-go waves. Since modelling properly this phenomenon is crucial for developing techniques aimed at reducing it, we present two different models: a microscopic and a macroscopic one, both of them able to reproduce stop-and-go waves. In the former, vehicles’ dynamics are described by a second-order microscopic Follow-the-Leader model, which is calibrated and validated by real measurements. Data are analysed and compared with the numerical solutions computed by the microscopic model. The latter provides a description of traffic dynamic via the macroscopic second-order CGARZ model. With the numerical implementation, by means of the 2CTM scheme, we test the ability of the model of capturing stop-and-go waves. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Stop & Go waves: a microscopic and a macroscopic description

Iacomini E
Ultimo
2021

Abstract

In this paper we investigate a typical phenomenon of congested traffic: the stop-and-go waves. Since modelling properly this phenomenon is crucial for developing techniques aimed at reducing it, we present two different models: a microscopic and a macroscopic one, both of them able to reproduce stop-and-go waves. In the former, vehicles’ dynamics are described by a second-order microscopic Follow-the-Leader model, which is calibrated and validated by real measurements. Data are analysed and compared with the numerical solutions computed by the microscopic model. The latter provides a description of traffic dynamic via the macroscopic second-order CGARZ model. With the numerical implementation, by means of the 2CTM scheme, we test the ability of the model of capturing stop-and-go waves. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
2021
978-3-030-66560-9
978-3-030-66559-3
Follow-the-leader models,, Fundamental diagram Second-order models, Stop-and-go waves, Traffic models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2500661
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