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dc.contributor.authorPhan, Thao
dc.contributor.authorAnnaswamy, Anuradha
dc.contributor.authorYanakiev, Diana
dc.contributor.authorTseng, Eric
dc.date.accessioned2015-10-07T20:41:16Z
dc.date.available2015-10-07T20:41:16Z
dc.date.issued2015-10-07
dc.identifier.urihttp://hdl.handle.net/1721.1/99197
dc.description.abstractA model-based approach to dynamic toll pricing has been developed to provide a systematic method for determining optimal freeway pricing schemes. A novel approach is suggested for alleviating congestion, which utilizes identified models of driver behavior and traffic flow, as well as optimization of the target density to maximize throughput. Real-time traffic information from on-road sensors is integrated with historical information to provide feedback and preview for the dynamic toll price controller. The algorithm developed here provides an opportunity to improve on existing toll policy by guaranteeing minimum speeds for toll lane drivers, maintaining consistent traffic flow for the other drivers, and optimizing the overall traffic throughputen_US
dc.description.sponsorshipthe Ford-MIT Allianceen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesIEEE ACC;2016
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectDynamic Tollen_US
dc.subjectHighway Trafficen_US
dc.subjectAlleviating Congestionen_US
dc.titleA Model-based Dynamic Toll Pricing Strategy for Controlling Highway Trafficen_US
dc.typePreprinten_US


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