Investigating the use of kalman filtering approaches for dynamic origin-destination trip table estimation

Pushkin Kachroo, Kaan Ozbay, Arvind Narayanan

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper studies the applicability of kalman filtering approaches for network wide traveler Origin Destination estimation from link traffic volumes. The paper evaluates the modeling assumptions of the Kalman filters and examines the implications of such assumptions.

Original languageEnglish (US)
Pages (from-to)138-142
Number of pages5
JournalConference Proceedings - IEEE SOUTHEASTCON
StatePublished - 1997
EventProceedings of the 1997 IEEE SOUTHEASTCON - Blacksburg, VA, USA
Duration: Apr 12 1997Apr 14 1997

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Investigating the use of kalman filtering approaches for dynamic origin-destination trip table estimation'. Together they form a unique fingerprint.

Cite this