Optimization of Vehicular Trajectories under Gaussian Noise Disturbances

Juan-Bautista Tomas-Gabarron, Esteban Egea-Lopez and Joan Garcia-Haro
Additional contact information
Juan-Bautista Tomas-Gabarron: Department of Information and Communication Technologies, Technical University of Cartagena (UPCT), Plaza del Hospital, 1, 30202 Cartagena, Spain
Esteban Egea-Lopez: Department of Information and Communication Technologies, Technical University of Cartagena (UPCT), Plaza del Hospital, 1, 30202 Cartagena, Spain
Joan Garcia-Haro: Department of Information and Communication Technologies, Technical University of Cartagena (UPCT), Plaza del Hospital, 1, 30202 Cartagena, Spain

Future Internet, 2012, vol. 5, issue 1, 1-20

Abstract: Nowadays, research on Vehicular Technology aims at automating every single mechanical element of vehicles, in order to increase passengers’ safety, reduce human driving intervention and provide entertainment services on board. Automatic trajectory tracing for vehicles under especially risky circumstances is a field of research that is currently gaining enormous attention. In this paper, we show some results on how to develop useful policies to execute maneuvers by a vehicle at high speeds with the mathematical optimization of some already established mobility conditions of the car. We also study how the presence of Gaussian noise on measurement sensors while maneuvering can disturb motion and affect the final trajectories. Different performance criteria for the optimization of such maneuvers are presented, and an analysis is shown on how path deviations can be minimized by using trajectory smoothing techniques like the Kalman Filter. We finalize the paper with a discussion on how communications can be used to implement these schemes.

Keywords: vehicle safety; optimum control; optimum maneuvering (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/5/1/1/pdf (application/pdf)
https://www.mdpi.com/1999-5903/5/1/1/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:5:y:2012:i:1:p:1-20:d:22508

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().