Standard
Pricing toll roads under uncertainty. /
Dokka Venkata Satyanaraya, Trivikram; Alain, Zemkoho
; Sen Gupta, Sonali et al.
16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2016). ed. / Marc Goerigk; Renato Werneck. Vol. 54 Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2016. p. 4:1-4:14 (Open Access Series in Informatics (OASIcs)).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Harvard
Dokka Venkata Satyanaraya, T, Alain, Z
, Sen Gupta, S & Talla Nobibon, F 2016,
Pricing toll roads under uncertainty. in M Goerigk & R Werneck (eds),
16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2016). vol. 54, Open Access Series in Informatics (OASIcs), Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, pp. 4:1-4:14.
https://doi.org/10.4230/OASIcs.ATMOS.2016.4
APA
Dokka Venkata Satyanaraya, T., Alain, Z.
, Sen Gupta, S., & Talla Nobibon, F. (2016).
Pricing toll roads under uncertainty. In M. Goerigk, & R. Werneck (Eds.),
16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2016) (Vol. 54, pp. 4:1-4:14). (Open Access Series in Informatics (OASIcs)). Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik.
https://doi.org/10.4230/OASIcs.ATMOS.2016.4
Vancouver
Dokka Venkata Satyanaraya T, Alain Z
, Sen Gupta S, Talla Nobibon F.
Pricing toll roads under uncertainty. In Goerigk M, Werneck R, editors, 16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2016). Vol. 54. Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. 2016. p. 4:1-4:14. (Open Access Series in Informatics (OASIcs)). doi: 10.4230/OASIcs.ATMOS.2016.4
Author
Bibtex
@inbook{f9b25ff2663845308737beb472855fd8,
title = "Pricing toll roads under uncertainty",
abstract = "We study the toll pricing problem when the non-toll costs on the network are not fixed and can vary over time. We assume that users who take their decisions, after the tolls are fixed, have full information of all costs before making their decision. Toll-setter, on the other hand, do not have any information of the future costs on the network. The only information toll-setter have is historical information (sample) of the network costs. In this work we study this problem on parallel networks and networks with few number of paths in single origin-destination setting. We formulate toll-setting problem in this setting as a distributionally robust optimization problem and propose a method to solve to it. We illustrate the usefulness of our approach by doing numerical experiments using a parallel network.",
author = "{Dokka Venkata Satyanaraya}, Trivikram and Zemkoho Alain and {Sen Gupta}, Sonali and {Talla Nobibon}, Fabrice",
year = "2016",
doi = "10.4230/OASIcs.ATMOS.2016.4",
language = "English",
isbn = "9783959770217",
volume = "54",
series = "Open Access Series in Informatics (OASIcs)",
publisher = "Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik",
pages = "4:1--4:14",
editor = "Goerigk, {Marc } and Werneck, {Renato }",
booktitle = "16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2016)",
}
RIS
TY - CHAP
T1 - Pricing toll roads under uncertainty
AU - Dokka Venkata Satyanaraya, Trivikram
AU - Alain, Zemkoho
AU - Sen Gupta, Sonali
AU - Talla Nobibon, Fabrice
PY - 2016
Y1 - 2016
N2 - We study the toll pricing problem when the non-toll costs on the network are not fixed and can vary over time. We assume that users who take their decisions, after the tolls are fixed, have full information of all costs before making their decision. Toll-setter, on the other hand, do not have any information of the future costs on the network. The only information toll-setter have is historical information (sample) of the network costs. In this work we study this problem on parallel networks and networks with few number of paths in single origin-destination setting. We formulate toll-setting problem in this setting as a distributionally robust optimization problem and propose a method to solve to it. We illustrate the usefulness of our approach by doing numerical experiments using a parallel network.
AB - We study the toll pricing problem when the non-toll costs on the network are not fixed and can vary over time. We assume that users who take their decisions, after the tolls are fixed, have full information of all costs before making their decision. Toll-setter, on the other hand, do not have any information of the future costs on the network. The only information toll-setter have is historical information (sample) of the network costs. In this work we study this problem on parallel networks and networks with few number of paths in single origin-destination setting. We formulate toll-setting problem in this setting as a distributionally robust optimization problem and propose a method to solve to it. We illustrate the usefulness of our approach by doing numerical experiments using a parallel network.
U2 - 10.4230/OASIcs.ATMOS.2016.4
DO - 10.4230/OASIcs.ATMOS.2016.4
M3 - Chapter (peer-reviewed)
SN - 9783959770217
VL - 54
T3 - Open Access Series in Informatics (OASIcs)
SP - 4:1-4:14
BT - 16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2016)
A2 - Goerigk, Marc
A2 - Werneck, Renato
PB - Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
CY - Dagstuhl, Germany
ER -
