Effects of Information Heterogeneity in Bayesian Routing Games
Jeffrey Liu, Saurabh Amin, Galina Schwartz

TL;DR
This paper analyzes how the distribution of high-accuracy traffic information among players in Bayesian routing games affects individual and social costs, revealing thresholds where additional information becomes ineffective or harmful.
Contribution
It introduces a Bayesian congestion game model with heterogeneous information and characterizes the equilibrium, highlighting the impact of information distribution on costs.
Findings
Below a certain threshold, more informed players reduce costs for all.
Above the threshold, additional informed players do not lower costs.
Wider dissemination of accurate info can be socially harmful beyond a point.
Abstract
This article studies the value of information in route choice decisions when a fraction of players have access to high accuracy information about traffic incidents relative to others. To model such environments, we introduce a Bayesian congestion game, in which players have private information about incidents, and each player chooses her route on a network of parallel links. The links are prone to incidents that occur with an ex-ante known probability. The demand is comprised of two player populations: one with access to high accuracy incident information and another with low accuracy information, i.e. the populations differ only by their access to information. The common knowledge includes: (i) the demand and route cost functions, (ii) the fraction of highly-informed players, (iii) the incident probability, and (iv) the marginal type distributions induced by the information structure…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Applications · Game Theory and Voting Systems · Auction Theory and Applications
