Publication:
Value of Traveler Information for Adaptive Routing in Stochastic Time-Dependent Networks

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dc.contributor.advisorSong Gao
dc.contributor.authorHuang, He
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.contributor.departmentCivil Engineering
dc.date2023-09-22T19:50:06.000
dc.date.accessioned2024-04-26T20:52:26Z
dc.date.available2024-04-26T20:52:26Z
dc.date.issued2009-01-01
dc.date.submitted2009-February
dc.description.abstractReal-time information plays an important role in travelers’ routing choices in an uncertain network by enabling online adaptation to revealed traffic conditions. The quality of the information affects its effectiveness. Usually there are some limitations in the information provided to the travelers, spatially, temporally or both. In this thesis, three variants of an optimal adaptive routing problem with partial online information problem are introduced: global information with time lag, global pre-trip information and radio information on a subset of links without time lag. A generic description of online information is provided. An algorithm is designed for the optimal routing problem in stochastic time-dependent networks with partial online information and specializations required for each of the three variants are given. A test example is conducted and computationally verifies the non-negative value of information. The work in this thesis is potentially of interest to traveler information systems evaluation and design.
dc.description.degreeMaster of Science in Civil Engineering (M.S.C.E.)
dc.identifier.doihttps://doi.org/10.7275/691777
dc.identifier.urihttps://hdl.handle.net/20.500.14394/45893
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1307&context=theses&unstamped=1
dc.source.statuspublished
dc.subjectTransportation
dc.titleValue of Traveler Information for Adaptive Routing in Stochastic Time-Dependent Networks
dc.typeopen
dc.typearticle
dc.typethesis
digcom.contributor.authorisAuthorOfPublication|email:huang@ecs.umass.edu|institution:University of Massachusetts Amherst|Huang, He
digcom.identifiertheses/233
digcom.identifier.contextkey691777
digcom.identifier.submissionpaththeses/233
dspace.entity.typePublication
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