Considering knowledge gaps for automated driving in conventional traffic

Conference paper (2016)

Authors

S.C. Calvert Transport and Planning - CEG
B. van Arem Transport and Planning
Research Group
Transport and Planning (CEG) (TU Delft)
Automated driving Traffic flow Vehicle automation
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Published Date

16-12-2016

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

With increasing numbers of vehicles using low level automation and higher level automation expected in the future, significant effects are expected on traffic flow. Despite much simulation and driving simulator research on SAE level 1 vehicles, there remain many questions in regard to the effects of the systems on traffic flow. The effects of higher levels of automation are even more difficult to estimate, as these vehicles are not even present on roads at this time, let alone in sufficient numbers to analyze. In this research, we propose a methodology for a-priori analysis of potential conflictsituations: Method for Explorative TRaffic scenario Observation and Analysis (METRO-A). It is applied to the case of automated driving in conventional traffic to analyzepotential difficulties that SAE level 3and 4and higher vehicles may encounterin mixed traffic conditions, for a weaving section case-study. Furthermore, a set of important research questions are constructed that are relevant forthe automotive industry, and road agencies and authorities.