Accelerated on-line calibration of dynamic traffic assignment using distributed stochastic gradient approximation

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dc.contributor.author Huang, E en
dc.contributor.author Antoniou, C en
dc.contributor.author Lopes, J en
dc.contributor.author Wen, Y en
dc.contributor.author Ben-Akiva, M en
dc.date.accessioned 2014-03-01T02:46:40Z
dc.date.available 2014-03-01T02:46:40Z
dc.date.issued 2010 en
dc.identifier.uri http://hdl.handle.net/123456789/32767
dc.subject Case Study en
dc.subject Dynamic Traffic Assignment en
dc.subject extended kalman filter en
dc.subject Stochastic Gradient Descent en
dc.subject Real Time en
dc.subject Stochastic Gradient en
dc.subject.other Computational time en
dc.subject.other Dynamic traffic assignments en
dc.subject.other Gradient calculations en
dc.subject.other Network information en
dc.subject.other On-line calibration en
dc.subject.other Portugal en
dc.subject.other Real-time models en
dc.subject.other Route guidance en
dc.subject.other Speed-ups en
dc.subject.other Stochastic gradient approximations en
dc.subject.other Stochastic gradient descent en
dc.subject.other Calibration en
dc.subject.other Differential thermal analysis en
dc.subject.other Intelligent systems en
dc.subject.other Online systems en
dc.subject.other Real time systems en
dc.subject.other Stochastic systems en
dc.subject.other Traffic control en
dc.subject.other Distributed computer systems en
dc.title Accelerated on-line calibration of dynamic traffic assignment using distributed stochastic gradient approximation en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ITSC.2010.5625109 en
heal.identifier.secondary http://dx.doi.org/10.1109/ITSC.2010.5625109 en
heal.identifier.secondary 5625109 en
heal.publicationDate 2010 en
heal.abstract Dynamic Traffic Assignment (DTA) system [Ben-Akiva et al., 1991] [Mahmassani, 2001] benefits travelers by providing accurate estimate of current traf-fic conditions, consistent anticipatory network information as well as reliable route guidance. Over the years, two types of model adjustment schemes have been studied - DTA off-line calibration [Balakrishna, 2006] [Toledo et al., 2003] [van der Zijpp, 1997] and DTA online calibration [Antoniou et al., 2007] [Wang et al., 2007] [Ashok and Ben-Akiva, 2000]. The on-line calibration of DTA system allows real-time model self-corrections and has proven to be a useful complement to off-line calibration. In this paper, we explore distributed gradient calculations for the speed-up of on-line calibration of Dynamic Traffic Assignment (DTA) systems. Extended Kalman Filter (EKF) and Stochastic Gradient Descent (GD) are examined and their corresponding distributed versions (Para-EKF and Para-GD) are proposed. A case study is performed on a 25-km expressway in Western Portugal. We empirically show that the application of distributed gradient calculation significantly reduce the computational time of online calibration and thus provide attractive alternatives for speed-critical real-time DTA systems. ©2010 IEEE. en
heal.journalName IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC en
dc.identifier.doi 10.1109/ITSC.2010.5625109 en
dc.identifier.spage 1166 en
dc.identifier.epage 1171 en

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