On Robustness of the Generalized Proportional Controller for Traffic Signal Control

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

We investigate robustness properties of the Generalized Proportional Allocation (GPA) policy that has been recently proposed for traffic signal control in urban networks. The GPA policy is fully decentralized, relies only on local information on the current congestion state, and requires no knowledge of the routing, the exogenous inflows, or the network structure. In previous work, we proved throughput optimality of the GPA policy, by showing that it is able to stabilize the traffic network dynamics whenever any controller is able to do so. In this paper, we first extend these results by showing that even when the measurements have offsets, the GPA policy maintains the same stability properties as with exact measurements. A comparison between the GPA and the MaxPressure traffic signal controllers with respect to robustness is also performed in a microscopic traffic simulator, where it is shown that while the GPA can handle offsets in the measurements, the MaxPressure controller may make vehicles wait forever.

Detaljer

Författare
Externa organisationer
  • School of Electrical and Computer Engineering
  • Polytechnic University of Turin
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik

Nyckelord

Originalspråkengelska
Titel på värdpublikation2020 American Control Conference, ACC 2020
FörlagInstitute of Electrical and Electronics Engineers Inc.
Sidor1191-1196
Antal sidor6
ISBN (elektroniskt)9781538682661
StatusPublished - 2020 jul
PublikationskategoriForskning
Peer review utfördJa
Externt publiceradJa
Evenemang2020 American Control Conference, ACC 2020 - Denver, USA
Varaktighet: 2020 jul 12020 jul 3

Publikationsserier

NamnProceedings of the American Control Conference
Volym2020-July
ISSN (tryckt)0743-1619

Konferens

Konferens2020 American Control Conference, ACC 2020
LandUSA
OrtDenver
Period2020/07/012020/07/03

Related projects

Gustav Nilsson, Giacomo Como, Anders Rantzer & Enrico Lovisari

2013/09/202019/05/31

Projekt: Forskning

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