New approach for real-time prediction of traffic demand-diversion in freeway corridors

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

Abstract

An adaptive method is developed for real-time prediction of demand and diversion of traffic flow at on-ramp areas of freeway corridors. The prediction method explicitly treats the time-variant effects of control on the traffic demand to be predicted by combining behavioral modeling with filtering. In particular, behavioral demand-diversion models and an Extended Kalman Filter are developed, with the filter continuously updating the model parameters with the most recent prediction error.

Original languageEnglish (US)
Title of host publicationProc 2 Int Conf Appl Adv Technol Transp Eng
EditorsYorgos J. Stephanedes, Kumares C. Sinha
PublisherPubl by ASCE
Pages398-402
Number of pages5
ISBN (Print)0872628183
StatePublished - Jan 1 1991
EventProceedings of the 2nd International Conference on Applications of Advanced Technologies in Transportation Engineering - Minneapolis, MN, USA
Duration: Aug 18 1991Aug 21 1991

Publication series

NameProc 2 Int Conf Appl Adv Technol Transp Eng

Other

OtherProceedings of the 2nd International Conference on Applications of Advanced Technologies in Transportation Engineering
CityMinneapolis, MN, USA
Period8/18/918/21/91

Fingerprint

Dive into the research topics of 'New approach for real-time prediction of traffic demand-diversion in freeway corridors'. Together they form a unique fingerprint.

Cite this