Facility Location for Congesting Commuters and Generalizing the Cost-Distance Problem

Authors

  • Thanasis Lianeas University of West Attica
  • Marios Mertzanidis Purdue University
  • Aikaterini Nikolidaki National Technical University of Athens

DOI:

https://doi.org/10.1609/aaai.v40i20.38758

Abstract

In Facility Location problems there are agents that should be connected to facilities and locations where facilities may be opened so that agents can connect to them. We depart from Uncapacitated Facility Location and by assuming that the connection costs of agents to facilities are congestion dependent, we define a novel problem, namely, Facility Location for Congesting (Selfish) Commuters. The connection costs of agents to facilities come as a result of how the agents commute to reach the facilities in an underlying network with cost functions on the edges. Inapproximability results follow from the related literature and thus approximate solutions is all we can hope for. For when the cost functions are nondecreasing we employ in a novel way an approximate version of Caratheodory’s Theorem to show how approximate solutions for different versions of the problem can be derived. For when the cost functions are nonincreasing we show how this problem generalizes the Cost-Distance problem and provide an algorithm that for this more general case achieves the same approximation guarantees.

Published

2026-03-14

How to Cite

Lianeas, T., Mertzanidis, M., & Nikolidaki, A. (2026). Facility Location for Congesting Commuters and Generalizing the Cost-Distance Problem. Proceedings of the AAAI Conference on Artificial Intelligence, 40(20), 17093–17101. https://doi.org/10.1609/aaai.v40i20.38758

Issue

Section

AAAI Technical Track on Game Theory and Economic Paradigms