A multi lane Car Following Model for cooperative ADAS

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

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.

Original languageEnglish
Title of host publication2013 16th International IEEE Conference on Intelligent Transportation Systems
Subtitle of host publicationIntelligent Transportation Systems for All Modes, ITSC 2013
Pages1579-1586
Number of pages8
DOIs
StatePublished - 2013
Event2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013 - The Hague, Netherlands
Duration: 6 Oct 20139 Oct 2013

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013
Country/TerritoryNetherlands
CityThe Hague
Period6/10/139/10/13

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