Longitudinal Dynamics during Lane Changes: Assessment of Automated Driving Styles under Real-World Conditions

Johannes Ossig, Simone Hinkofer, Stephanie Cramer, Klaus Bengler

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

1 Scopus citations

Abstract

Lane changes represent key driving maneuvers on highways and are characterized by the combination of lateral and longitudinal dynamics. This article addresses the fundamental research question of how longitudinal dynamics should be designed for automated highway driving. In doing so, the focus is on lane changes to initiate passing maneuvers and resulting driving comfort. To investigate this issue, a study was conducted on a German highway with two automated driving styles and two non-driving related tasks. In the context of a situational evaluation of nearly 250 automated lane changes, a significant correlation between the existence of a rearward vehicle in the target lane and assessment of the respective driving maneuver was identified. However, this negative influence of rearward vehicles in the target lane tends to be counteracted by increased longitudinal dynamics during automated lane changes.

Original languageEnglish
Title of host publication2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1240-1247
Number of pages8
ISBN (Electronic)9781665468800
DOIs
StatePublished - 2022
Event25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 - Macau, China
Duration: 8 Oct 202212 Oct 2022

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2022-October

Conference

Conference25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Country/TerritoryChina
CityMacau
Period8/10/2212/10/22

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