A multi lane Car Following Model for cooperative ADAS

Florian Laquai, Claudio Gusmini, Marcus Tonnis, Gerhard Rigoll, Gudrun Klinker

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

11 Zitate (Scopus)

Abstract

This contribution presents a procedure to obtain a multi - lane car following model in order to simulate larger traffic scenes with different percentages of vehicles equipped with a certain assistance system. We introduce a way how to extend the Intelligent Driver Model (IDM) to support multiple lanes and model driver imperfections. The required parameters are obtained from an experiment in a 3D stereoscopic driving simulator in a CAVE and then transferred to an implementation of the Car Following Model in the traffic simulator SUMO. Promising results regarding the overall effect of the presented Advanced Driver Assistance Systems (ADAS) are obtained executing several hundred simulation runs of various scenarios.

OriginalspracheEnglisch
Titel2013 16th International IEEE Conference on Intelligent Transportation Systems
UntertitelIntelligent Transportation Systems for All Modes, ITSC 2013
Seiten1579-1586
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 2013
Veranstaltung2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013 - The Hague, Niederlande
Dauer: 6 Okt. 20139 Okt. 2013

Publikationsreihe

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Konferenz

Konferenz2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013
Land/GebietNiederlande
OrtThe Hague
Zeitraum6/10/139/10/13

Fingerprint

Untersuchen Sie die Forschungsthemen von „A multi lane Car Following Model for cooperative ADAS“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren