Accelerating the O-D estimation process for micro simulation: An application of a logit path now estimator in Paramics

Jingtao Ma, Yu Nie, H. Michael Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Obtaining the time-dependent O-D demand is often a challenging and time consuming task in micro simulations such as Paramics [1]. In this paper, we develop a three-step procedure to expedite this process. The procedure first translates various features of road sections into nodes and links with known capacities to convert a micro simulation network into a network suitable for macroscopic models. A logit path flow estimation module is then used to obtain an initial time-dependent O-D demand pattern. This pattern is in turn used as a starting point by the O-D estimator embedded in a micro simulation model, Paramics in this case, to perform its internal O-D estimation. This procedure is applied to a network in southern California, and the initial results show that it can significantly speed up the O-D estimation process for micro simulation applications.

Original languageEnglish (US)
Title of host publicationProceedings of ITSC 2006
Subtitle of host publication2006 IEEE Intelligent Transportation Systems Conference
Number of pages6
StatePublished - 2006
EventITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada
Duration: Sep 17 2006Sep 20 2006

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC


OtherITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
CityToronto, ON

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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