Price of anarchy for reliability-based traffic assignment and network design

Szeto, W.Y.; Wang, Anny B.

doi:10.1080/23249935.2015.1055525

Cited by 5 publications

(1 citation statement)

References 55 publications

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“…The second stage, after the future population has been determined, is a scenario-based stochastic location and route choice equilibrium problem. Szeto and Wang (2015) propose reliability-based system-optimal traffic assignment under supply uncertainty based on the concept of the total system travel time budget, and defines the price of anarchy for the corresponding user equilibrium traffic assignment. Nielsen, Kroon, and Maroti (2012), Cadarso, Mann,and Maroti (2013) and Cadarso, Maroti, and Marm (2015) study the railway recovery problem once a disruption has started.…”

Section: Literature Reviewmentioning

confidence: 99%

Combining robustness and recovery in rapid transit network design

Cadarso

Marı́n

2016

Transportmetrica A: Transport Science

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When designing a transport network, decisions are made according to an expected value for network state variables, such as infrastructure and vehicle conditions, which are uncertain at a planning horizon of up to decades. Because disruptions, such as infrastructure breakdowns, will arise and affect the network on the day of operations, actions must be taken from the network design. Robust network designs may be implemented but they are extremely expensive if disruptions do not realise. In this paper, we propose a novel approach to the network design problem where robustness and recovery are combined. We look for the trade-off between efficiency and robustness accounting for the possibility of recovering from disruptions: recoverable robust network design. Computational experiments drawn from fictitious and realistic networks show how the presented approach reduces the price of robustness and recovery costs as compared to traditional robust and non-robust rapid transit network design approaches.

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Section: Literature Reviewmentioning

confidence: 99%