Dynamic car following data collection and noise cancellation based on the Kalman smoothing
2005 (English)In: 2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings, 2005, 35-41 p.Conference paper (Refereed)
This paper will introduce a data collection method that we used in a project on modeling driver behavior in microscopic traffic simulation. A modern instrumented vehicle was employed to study a crucial element of driver behavior, that of car following, on Swedish roads. The collected car following data shows noisy patterns. To eliminate the measurement noise, Kalman smoothing algorithm is applied to the state-space formulation of the physical states (acceleration, speed and position) of tracked vehicles. The smoothed data shows clear car following patterns and has been further applied in our car following model calibration and validation study.
Place, publisher, year, edition, pages
2005. 35-41 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-43366DOI: 10.1109/ICVES.2005.1563610ISI: 000235933000007ScopusID: 2-s2.0-33846019639ISBN: 0-7803-9435-6OAI: oai:DiVA.org:kth-43366DiVA: diva2:448187
IEEE International Conference on Vehicular Electronics and Safety (ICVES 2005) Location: Xian, PEOPLES R CHINA Date: OCT 14-16, 2005
QC 201110142011-10-142011-10-142011-10-14Bibliographically approved