On Robustness of the Generalized Proportional Controller for Traffic Signal Control
(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
- Nilsson, Gustav LU and Como, Giacomo LU
- publishing date
- 2020-07
- 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}}, }