Stability analysis of transportation networks with multiscale driver decisions
(2011) In Proceedings of the American Control Conference p.2436-2441- Abstract
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial scales. The considered model involves a continuum of indistinguishable drivers commuting between a common origin/destination pair in an acyclic transportation network. The drivers' route choices are affected by their, relatively infrequent, perturbed best responses to global information about the current network congestion levels, as well as their instantaneous local observation of the immediate surroundings as they transit through the network. A novel model is proposed for the drivers' route choice behavior, exhibiting local consistency with their preference... (More)
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial scales. The considered model involves a continuum of indistinguishable drivers commuting between a common origin/destination pair in an acyclic transportation network. The drivers' route choices are affected by their, relatively infrequent, perturbed best responses to global information about the current network congestion levels, as well as their instantaneous local observation of the immediate surroundings as they transit through the network. A novel model is proposed for the drivers' route choice behavior, exhibiting local consistency with their preference toward globally less congested paths as well as myopic decisions in favor of locally less congested paths. The simultaneous evolution of the traffic congestion on the network and of the aggregate path preference is modeled by a system of coupled ordinary differential equations. The main result shows that, if the frequency of updates of path preferences is sufficiently small as compared to the frequency of the traffic flow dynamics, then the state of the transportation network ultimately approaches a neighborhood of the Wardrop equilibrium. The proposed analysis combines techniques from singular perturbation theory, evolutionary game theory, and cooperative dynamical systems.
(Less)
- author
- Como, Giacomo LU ; Savla, Ketan ; Acemoglu, Daron ; Dahleh, Munther A. and Frazzoli, Emilio
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 2011 American Control Conference, ACC 2011
- series title
- Proceedings of the American Control Conference
- article number
- 5991560
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:80053163459
- ISSN
- 0743-1619
- ISBN
- 9781457700804
- DOI
- 10.1109/acc.2011.5991560
- project
- Modeling and Control of Large Scale Transportation Networks
- language
- English
- LU publication?
- no
- id
- 332fba88-386d-4e43-b9ee-7ed1aa044d0d
- date added to LUP
- 2022-03-22 13:14:29
- date last changed
- 2022-04-26 11:03:44
@inproceedings{332fba88-386d-4e43-b9ee-7ed1aa044d0d,
abstract = {{<p>Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial scales. The considered model involves a continuum of indistinguishable drivers commuting between a common origin/destination pair in an acyclic transportation network. The drivers' route choices are affected by their, relatively infrequent, perturbed best responses to global information about the current network congestion levels, as well as their instantaneous local observation of the immediate surroundings as they transit through the network. A novel model is proposed for the drivers' route choice behavior, exhibiting local consistency with their preference toward globally less congested paths as well as myopic decisions in favor of locally less congested paths. The simultaneous evolution of the traffic congestion on the network and of the aggregate path preference is modeled by a system of coupled ordinary differential equations. The main result shows that, if the frequency of updates of path preferences is sufficiently small as compared to the frequency of the traffic flow dynamics, then the state of the transportation network ultimately approaches a neighborhood of the Wardrop equilibrium. The proposed analysis combines techniques from singular perturbation theory, evolutionary game theory, and cooperative dynamical systems.</p>}},
author = {{Como, Giacomo and Savla, Ketan and Acemoglu, Daron and Dahleh, Munther A. and Frazzoli, Emilio}},
booktitle = {{Proceedings of the 2011 American Control Conference, ACC 2011}},
isbn = {{9781457700804}},
issn = {{0743-1619}},
language = {{eng}},
pages = {{2436--2441}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{Proceedings of the American Control Conference}},
title = {{Stability analysis of transportation networks with multiscale driver decisions}},
url = {{http://dx.doi.org/10.1109/acc.2011.5991560}},
doi = {{10.1109/acc.2011.5991560}},
year = {{2011}},
}