Adaptive traffic control at motorway bottlenecks with time-varying Fundamental Diagram

Farzam Tajdari; Claudio Roncoli

doi:10.1016/j.ifacol.2021.06.051

Adaptive traffic control at motorway bottlenecks with time-varying Fundamental Diagram

Farzam Tajdari
, Claudio Roncoli

Research output: Contribution to journal › Conference article › Scientific › peer-review

21 Citations (Scopus)

243 Downloads (Pure)

Abstract

This paper deals with the problem of controlling traffic at motorways bottlenecks in presence of an unknown, time-varying, Fundamental Diagram (FD). The FD may change over time due to traffic composition or to the presence of Connected and Automated Vehicles (CAVs) with varying driving characteristics and penetration rates. A novel methodology, based on Model Reference Adaptive Control, is presented to robustly estimate the time-varying set-points that maximise the bottleneck throughput. The proposed approach is integrated in a control scheme that includes a linear quadratic integral regulator designed to control traffic which comprises a percentage of CAVs. Simulation experiments, based on a first-order multi-lane macroscopic traffic flow model that also considers for the capacity drop phenomenon, are presented to illustrate the effectiveness of the proposed approach. Copyright (C) 2021 The Authors

Original language	English
Pages (from-to)	271-277
Number of pages	7
Journal	IFAC-PapersOnLine
Volume	54
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2021.06.051
Publication status	Published - 2021
MoE publication type	A4 Conference publication
Event	IFAC Symposium on Control in Transportation Systems - Lille, France Duration: 8 Jun 2021 → 10 Jun 2021 Conference number: 16

Keywords

Adaptive control
automated vehicles
connected
robust estimation
time-varying Fundamental Diagram
traffic control

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10.1016/j.ifacol.2021.06.051Licence: CC BY-NC-ND

1-s2.0-S2405896321004997-mainFinal published version, 1.03 MBLicence: CC BY-NC-ND

Cite this

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title = "Adaptive traffic control at motorway bottlenecks with time-varying Fundamental Diagram",

abstract = "This paper deals with the problem of controlling traffic at motorways bottlenecks in presence of an unknown, time-varying, Fundamental Diagram (FD). The FD may change over time due to traffic composition or to the presence of Connected and Automated Vehicles (CAVs) with varying driving characteristics and penetration rates. A novel methodology, based on Model Reference Adaptive Control, is presented to robustly estimate the time-varying set-points that maximise the bottleneck throughput. The proposed approach is integrated in a control scheme that includes a linear quadratic integral regulator designed to control traffic which comprises a percentage of CAVs. Simulation experiments, based on a first-order multi-lane macroscopic traffic flow model that also considers for the capacity drop phenomenon, are presented to illustrate the effectiveness of the proposed approach. Copyright (C) 2021 The Authors",

keywords = "Adaptive control, automated vehicles, connected, robust estimation, time-varying Fundamental Diagram, traffic control",

author = "Farzam Tajdari and Claudio Roncoli",

note = "| openaire: EC/H2020/856602/EU//FINEST TWINS Publisher Copyright: {\textcopyright} 2021 The Authors.; IFAC Symposium on Control in Transportation Systems, CTS ; Conference date: 08-06-2021 Through 10-06-2021",

year = "2021",

doi = "10.1016/j.ifacol.2021.06.051",

language = "English",

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T1 - Adaptive traffic control at motorway bottlenecks with time-varying Fundamental Diagram

AU - Tajdari, Farzam

AU - Roncoli, Claudio

N1 - Conference code: 16

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N2 - This paper deals with the problem of controlling traffic at motorways bottlenecks in presence of an unknown, time-varying, Fundamental Diagram (FD). The FD may change over time due to traffic composition or to the presence of Connected and Automated Vehicles (CAVs) with varying driving characteristics and penetration rates. A novel methodology, based on Model Reference Adaptive Control, is presented to robustly estimate the time-varying set-points that maximise the bottleneck throughput. The proposed approach is integrated in a control scheme that includes a linear quadratic integral regulator designed to control traffic which comprises a percentage of CAVs. Simulation experiments, based on a first-order multi-lane macroscopic traffic flow model that also considers for the capacity drop phenomenon, are presented to illustrate the effectiveness of the proposed approach. Copyright (C) 2021 The Authors

AB - This paper deals with the problem of controlling traffic at motorways bottlenecks in presence of an unknown, time-varying, Fundamental Diagram (FD). The FD may change over time due to traffic composition or to the presence of Connected and Automated Vehicles (CAVs) with varying driving characteristics and penetration rates. A novel methodology, based on Model Reference Adaptive Control, is presented to robustly estimate the time-varying set-points that maximise the bottleneck throughput. The proposed approach is integrated in a control scheme that includes a linear quadratic integral regulator designed to control traffic which comprises a percentage of CAVs. Simulation experiments, based on a first-order multi-lane macroscopic traffic flow model that also considers for the capacity drop phenomenon, are presented to illustrate the effectiveness of the proposed approach. Copyright (C) 2021 The Authors

KW - Adaptive control

KW - automated vehicles

KW - connected

KW - robust estimation

KW - time-varying Fundamental Diagram

KW - traffic control

UR - https://www.scopus.com/pages/publications/85112711529

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DO - 10.1016/j.ifacol.2021.06.051

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AN - SCOPUS:85112711529

SN - 2405-8963

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IS - 2

T2 - IFAC Symposium on Control in Transportation Systems

Y2 - 8 June 2021 through 10 June 2021

ER -

Adaptive traffic control at motorway bottlenecks with time-varying Fundamental Diagram

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Keywords

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Adaptive traffic control at motorway bottlenecks with time-varying Fundamental Diagram

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Keywords

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-: FINEST TWINS GA856602Nieminen

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