Efficient real-time routing for autonomous vehicles through Bayes correlated equilibrium: An information design framework

Yixuan Liu and Andrew B. Whinston

Information Economics and Policy, 2019, vol. 47, issue C, 14-26

Abstract: In this paper, we propose an information-based approach to eliminate inefficiency in traffic systems in the era of autonomous vehicles. We build up theoretical models to coordinate vehicles through Waze, a pervasive crowdsourcing mapping app. We apply the idea of Bayesian persuasion (Kamenica and Gentzkow, 2011) in the basic model of a single vehicle and implement the unified information design framework (Bergemann and Morris, 2017) in the general model. Since the reliability of the information source (Waze) is crucial, we also incorporate queueing theory into the congestion model to obtain more accurate predictions of the traffic conditions. We demonstrate the significant efficiency improvement of implementing theoretical economic approach in the robotic area.

Keywords: Bayesian persuasion; Information design; Autonomous vehicles; Waze (search for similar items in EconPapers)
JEL-codes: C72 O35 R41 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:iepoli:v:47:y:2019:i:c:p:14-26

DOI: 10.1016/j.infoecopol.2019.05.005

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