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On Robustness of the Generalized Proportional Controller for Traffic Signal Control

Nilsson, Gustav LU and Como, Giacomo LU (2020) 2020 American Control Conference, ACC 2020 In Proceedings of the American Control Conference 2020-July. p.1191-1196
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... (More)

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.

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author
and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Decentralized Control, Traffic Signal Control, Transportation Networks
host publication
2020 American Control Conference, ACC 2020
series title
Proceedings of the American Control Conference
volume
2020-July
article number
9147471
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2020 American Control Conference, ACC 2020
conference location
Denver, United States
conference dates
2020-07-01 - 2020-07-03
external identifiers
  • scopus:85089590507
ISSN
0743-1619
ISBN
9781538682661
DOI
10.23919/ACC45564.2020.9147471
project
Modeling and Control of Large Scale Transportation Networks
language
English
LU publication?
no
id
aa519dce-9a5b-4b67-825f-219a89f440ea
date added to LUP
2021-02-08 22:49:07
date last changed
2022-04-27 00:06:38
@inproceedings{aa519dce-9a5b-4b67-825f-219a89f440ea,
  abstract     = {{<p>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.</p>}},
  author       = {{Nilsson, Gustav and Como, Giacomo}},
  booktitle    = {{2020 American Control Conference, ACC 2020}},
  isbn         = {{9781538682661}},
  issn         = {{0743-1619}},
  keywords     = {{Decentralized Control; Traffic Signal Control; Transportation Networks}},
  language     = {{eng}},
  pages        = {{1191--1196}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Proceedings of the American Control Conference}},
  title        = {{On Robustness of the Generalized Proportional Controller for Traffic Signal Control}},
  url          = {{http://dx.doi.org/10.23919/ACC45564.2020.9147471}},
  doi          = {{10.23919/ACC45564.2020.9147471}},
  volume       = {{2020-July}},
  year         = {{2020}},
}