Multi-objective platoon maneuvering using artificial potential fields

E. Semsar-Kazerooni, K. Elferink, J. Ploeg, H. Nijmeijer

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review

5 Citaten (Scopus)

Samenvatting

Nowadays, there is an increasing societal demand for smart mobility solutions which can increase the throughput, comfort, and safety of driving on a road. As one of these solutions, vehicle following technologies like cooperative adaptive cruise control (CACC) are introduced. with the help of vehicle-to-vehicle (V2V) communication, CACC can reduce the safe minimal inter-vehicular distance. Additionally, sharing the vehicle intentions through V2V, enables multi-vehicle maneuvers to be cooperatively executable. In this paper, using the concept of artificial potential fields, a longitudinal control scheme for performing a cooperative merging maneuver will be suggested. Artificial potential fields are powerful enough for modeling and solving such a complex problem, where in addition to vehicle following other objectives such as merging should be addressed. The designed algorithms for vehicle cooperative maneuvering are verified through simulations.

Originele taal-2Engels
Pagina's (van-tot)15006-15011
Aantal pagina's6
TijdschriftIFAC-PapersOnLine
Volume50
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 1 jul 2017
Evenement20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk
Duur: 9 jul 201714 jul 2017
Congresnummer: 20
https://www.ifac2017.org/

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