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Information design for congestion minimization in transportation networks

Ambrogio, Alexia ; Cianfanelli, Leonardo and Como, Giacomo LU (2024) 5th IFAC Workshop on Cyber-Physical Human Systems, CPHS 2024 In IFAC-PapersOnLine 58(30). p.181-185
Abstract

We study an information design problem to reduce congestion in transportation networks. In presence of an uncertain network state, the central planner may sends private signals to the users, with the goal of steering the user equilibrium towards the system optimum flow. We consider private signals and provide sufficient conditions under which optimality may be achieved by information provision in networks with arbitrary number of parallel links and affine delay functions. Our results imply that optimality is more easily achieved in presence of large uncertainty of the random variables of the delay functions of the links of the network.

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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bayesian methods, Control of networks, decision support, game theory, Information processing, Multi-agent systems, Stochastic control, Urban Mobility
in
IFAC-PapersOnLine
volume
58
issue
30
pages
5 pages
publisher
IFAC Secretariat
conference name
5th IFAC Workshop on Cyber-Physical Human Systems, CPHS 2024
conference location
Antalya, Turkey
conference dates
2024-12-12 - 2024-12-13
external identifiers
  • scopus:85218069886
ISSN
2405-8971
DOI
10.1016/j.ifacol.2025.01.177
language
English
LU publication?
yes
id
6324a5dd-ae31-4d0b-8fea-72c3837f7b37
date added to LUP
2025-06-04 09:08:14
date last changed
2025-06-04 09:09:09
@article{6324a5dd-ae31-4d0b-8fea-72c3837f7b37,
  abstract     = {{<p>We study an information design problem to reduce congestion in transportation networks. In presence of an uncertain network state, the central planner may sends private signals to the users, with the goal of steering the user equilibrium towards the system optimum flow. We consider private signals and provide sufficient conditions under which optimality may be achieved by information provision in networks with arbitrary number of parallel links and affine delay functions. Our results imply that optimality is more easily achieved in presence of large uncertainty of the random variables of the delay functions of the links of the network.</p>}},
  author       = {{Ambrogio, Alexia and Cianfanelli, Leonardo and Como, Giacomo}},
  issn         = {{2405-8971}},
  keywords     = {{Bayesian methods; Control of networks; decision support; game theory; Information processing; Multi-agent systems; Stochastic control; Urban Mobility}},
  language     = {{eng}},
  number       = {{30}},
  pages        = {{181--185}},
  publisher    = {{IFAC Secretariat}},
  series       = {{IFAC-PapersOnLine}},
  title        = {{Information design for congestion minimization in transportation networks}},
  url          = {{http://dx.doi.org/10.1016/j.ifacol.2025.01.177}},
  doi          = {{10.1016/j.ifacol.2025.01.177}},
  volume       = {{58}},
  year         = {{2024}},
}