From Automated to Manual - Modeling Control Transitions with SUMO

21 pages•Published: August 13, 2019

Leonhard Lücken, Evangelos Mintsis, Kallirroi Porfyri, Robert Alms, Yun-Pang Flötteröd and Dimitrios Koutras

Abstract

Transitions of Control (ToC) play an important role in the simulative impact assessment of automated driving because they may represent major perturbations of smooth and safe traffic operation. The drivers' efforts to take back control from the automation are accompanied by a change of driving behavior and may lead to increased error rates, altered headways, safety critical situations, and, in the case of a failing takeover, even to minimum risk maneuvers. In this work we present modeling approaches for these processes, which have been introduced into SUMO recently in the framework of the TransAID project. Further, we discuss the results of an evaluation of some hierarchical traffic management (TM) procedures devised to ameliorate related disturbances in transition areas, i.e., zones of increased probability for the automation to request a ToC.

Keyphrases: automated vehicles, car following model, driving performance, takeover, transition of control

In: Melanie Weber, Laura Bieker-Walz, Robert Hilbrich and Michael Behrisch (editors). SUMO User Conference 2019, vol 62, pages 124-144.

Links:	https://easychair.org/publications/paper/NLJG
	https://doi.org/10.29007/sfgk

BibTeX entry

@inproceedings{SUMO2019:From_Automated_Manual_Modeling,
  author    = {Leonhard Lücken and Evangelos Mintsis and Kallirroi Porfyri and Robert Alms and Yun-Pang Flötteröd and Dimitrios Koutras},
  title     = {From Automated to Manual - Modeling Control Transitions with SUMO},
  booktitle = {SUMO User Conference 2019},
  editor    = {Melanie Weber and Laura Bieker-Walz and Robert Hilbrich and Michael Behrisch},
  series    = {EPiC Series in Computing},
  volume    = {62},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/NLJG},
  doi       = {10.29007/sfgk},
  pages     = {124-144},
  year      = {2019}}

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