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dc.contributor.authorWu, Manxi
dc.contributor.authorAmin, Saurabh
dc.date.accessioned2020-05-12T20:23:50Z
dc.date.available2020-05-12T20:23:50Z
dc.date.issued2019-09
dc.identifier.isbn9781728131511
dc.identifier.urihttps://hdl.handle.net/1721.1/125191
dc.description.abstractTraffic navigation services have gained widespread adoption in recent years. The route recommendations generated by these services often leads to severe congestion on urban streets, raising concerns from neighboring residents and city authorities. This paper is motivated by the question: How can a transportation authority design an information structure to induce a preferred equilibrium traffic flow pattern in uncertain network conditions? We approach this question from a Bayesian persuasion viewpoint. We consider a basic routing game with two parallel routes and an uncertain state that affects the travel cost on one of the routes. The authority sends a noisy signal of the state to a given fraction of travelers. The information structure (i.e. distribution of signals in each state) chosen by the authority creates a heterogeneous information environment for the routing game. The solution concept governing the travelers' route choices is Bayesian Wardrop Equilibrium. We design an information structure to minimize the average traffic spillover - the amount of equilibrium route flow exceeding a preferred limit - on one of the routes. We provide an analytical characterization of the optimal information structure for any fraction of travelers receiving the signal. We find that the optimal information structure can achieve the minimum spillover so long as the fraction of travelers receiving the signal is larger than a threshold (smaller than 1).en_US
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/allerton.2019.8919906en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleInformation Design for Regulating Traffic Flows under Uncertain Network Stateen_US
dc.typeArticleen_US
dc.identifier.citationWu, Manxi, and Saurabh Amin. "Information Design for Regulating Traffic Flows under Uncertain Network State." 57th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, September 2019, IEEE, 2019.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.relation.journal2019 57th Annual Allerton Conference on Communication, Control, and Computingen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2020-05-12T19:05:51Z
dspace.date.submission2020-05-12T19:05:53Z
mit.licenseOPEN_ACCESS_POLICY


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