Abstract
In the present paper, we formulate the network equilibrium problem with mixed demand containing the fixed and variable components. We present the equilibrium conditions and the conditions for existence of solution of this problem. In addition, we show that the network equilibrium problem with mixed demand generalizes the network equilibrium problems with fixed demand and elastic demand and establish the connection with the auction equilibrium problem. Preliminary computational experiments are also presented.
This work is supported by Russian Foundation for Basic Research, project No 16-01-00109.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dafermos, S.: Traffic equilibrium and variational inequalities. Transp. Sci. 14, 42–54 (1980)
Dafermos, S.: The general multimodal network equilibrium problem with elastic demand. Networks 12, 57–72 (1982)
Nagurney, A.: Network Economics: A Variational Inequality Approach. Kluwer, Dordrecht (1999)
Konnov, I.V.: On auction equilibrium models with network applications. Netnomics 16, 107–125 (2015)
Levitin, E.S., Polyak, B.T.: Constrained minimization methods. USSR Comput. Math. Math. Phys. 6(5), 1–50 (1966)
Konnov, I.V.: On an approach to the solution of flow equilibrium problems. Issledovaniya po Informatike (in Russian). 2, 125–132 (2000)
Bertsekas, D., Gafni, E.: Projection methods for variational inequalities with application to the traffic assignment problem. Math. Progr. Study. 17, 139–159 (1982)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Pinyagina, O. (2016). On a Network Equilibrium Problem with Mixed Demand. In: Kochetov, Y., Khachay, M., Beresnev, V., Nurminski, E., Pardalos, P. (eds) Discrete Optimization and Operations Research. DOOR 2016. Lecture Notes in Computer Science(), vol 9869. Springer, Cham. https://doi.org/10.1007/978-3-319-44914-2_46
Download citation
DOI: https://doi.org/10.1007/978-3-319-44914-2_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44913-5
Online ISBN: 978-3-319-44914-2
eBook Packages: Computer ScienceComputer Science (R0)