Modelling and experimental study for automated congestion driving

Joseph Urhahne; Patrick Piastowski; Mascha C. van der Voort

doi:10.1007/978-3-319-27857-5

Modelling and experimental study for automated congestion driving

Joseph Urhahne^*
, Patrick Piastowski
, Mascha C. van der Voort

^*Corresponding author for this work

Faculty of Engineering Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

22 Downloads (Pure)

Abstract

Taking a collaborative approach in automated congestion driving with a Traffic Jam Assist system requires the driver to take over control in certain traffic situations. In order to warn the driver appropriately, warnings are issued (“pay attention” vs. “take action”) due to a control transition strategy that reacts to lane change manoeuvres by surrounding traffic. This paper presents the outcome of a driving simulator study regarding the evaluation of a control transition strategy. The strategy was found to provide adequate support to drivers. However, driver acceptance can be increased. A refined model is proposed.

Original language	English
Title of host publication	Advances in Visual Computing
Subtitle of host publication	11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings
Editors	George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ioannis Pavlidis, Rogerio Feris, Tim McGraw, Mark Elendt, Regis Kopper, Eric Ragan, Zhao Ye, Gunther Weber
Publisher	Springer
Pages	784-794
Number of pages	11
Volume	1
ISBN (Electronic)	978-3-319-27857-5
ISBN (Print)	978-3-319-27856-8
DOIs	https://doi.org/10.1007/978-3-319-27857-5
Publication status	Published - 2015
Event	11th International Symposium on Visual Computing, ISVC 2015 - Las Vegas, United States Duration: 14 Dec 2015 → 16 Dec 2015 Conference number: 11

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9474
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Symposium on Visual Computing, ISVC 2015
Abbreviated title	ISVC
Country/Territory	United States
City	Las Vegas
Period	14/12/15 → 16/12/15

Keywords

Hybrid systems
Medical imaging
Optimization
Pattern recognition
Automated image analysis
Computer graphics
Computer vision
Health care
Image processing
Machine learning
Magnetic resonance imaging
Medical image software
Multi-agent
Ontology
Simulated annealing
SPARQL
Video games
Virtual reality
Warehouse network modeling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-27857-5

Cite this

Urhahne, J., Piastowski, P., & van der Voort, M. C. (2015). Modelling and experimental study for automated congestion driving. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, I. Pavlidis, R. Feris, T. McGraw, M. Elendt, R. Kopper, E. Ragan, Z. Ye, & G. Weber (Eds.), Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings (Vol. 1, pp. 784-794). (Lecture Notes in Computer Science; Vol. 9474). Springer. https://doi.org/10.1007/978-3-319-27857-5

Urhahne, Joseph ; Piastowski, Patrick ; van der Voort, Mascha C. / Modelling and experimental study for automated congestion driving. Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings. editor / George Bebis ; Richard Boyle ; Bahram Parvin ; Darko Koracin ; Ioannis Pavlidis ; Rogerio Feris ; Tim McGraw ; Mark Elendt ; Regis Kopper ; Eric Ragan ; Zhao Ye ; Gunther Weber. Vol. 1 Springer, 2015. pp. 784-794 (Lecture Notes in Computer Science).

@inbook{97b41589994e420b89f2de64528e2f25,

title = "Modelling and experimental study for automated congestion driving",

abstract = "Taking a collaborative approach in automated congestion driving with a Traffic Jam Assist system requires the driver to take over control in certain traffic situations. In order to warn the driver appropriately, warnings are issued (“pay attention” vs. “take action”) due to a control transition strategy that reacts to lane change manoeuvres by surrounding traffic. This paper presents the outcome of a driving simulator study regarding the evaluation of a control transition strategy. The strategy was found to provide adequate support to drivers. However, driver acceptance can be increased. A refined model is proposed.",

keywords = "Hybrid systems, Medical imaging, Optimization, Pattern recognition, Automated image analysis, Computer graphics, Computer vision, Health care, Image processing, Machine learning, Magnetic resonance imaging, Medical image software, Multi-agent, Ontology, Simulated annealing, SPARQL, Video games, Virtual reality, Warehouse network modeling",

author = "Joseph Urhahne and Patrick Piastowski and \{van der Voort\}, \{Mascha C.\}",

year = "2015",

doi = "10.1007/978-3-319-27857-5",

language = "English",

isbn = "978-3-319-27856-8",

volume = "1",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "784--794",

editor = "George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ioannis Pavlidis and Rogerio Feris and Tim McGraw and Mark Elendt and Regis Kopper and Eric Ragan and Zhao Ye and Gunther Weber",

booktitle = "Advances in Visual Computing",

address = "Germany",

note = "11th International Symposium on Visual Computing, ISVC 2015, ISVC ; Conference date: 14-12-2015 Through 16-12-2015",

}

Urhahne, J, Piastowski, P & van der Voort, MC 2015, Modelling and experimental study for automated congestion driving. in G Bebis, R Boyle, B Parvin, D Koracin, I Pavlidis, R Feris, T McGraw, M Elendt, R Kopper, E Ragan, Z Ye & G Weber (eds), Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings. vol. 1, Lecture Notes in Computer Science, vol. 9474, Springer, pp. 784-794, 11th International Symposium on Visual Computing, ISVC 2015, Las Vegas, Nevada, United States, 14/12/15. https://doi.org/10.1007/978-3-319-27857-5

Modelling and experimental study for automated congestion driving. / Urhahne, Joseph; Piastowski, Patrick; van der Voort, Mascha C.
Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings. ed. / George Bebis; Richard Boyle; Bahram Parvin; Darko Koracin; Ioannis Pavlidis; Rogerio Feris; Tim McGraw; Mark Elendt; Regis Kopper; Eric Ragan; Zhao Ye; Gunther Weber. Vol. 1 Springer, 2015. p. 784-794 (Lecture Notes in Computer Science; Vol. 9474).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Modelling and experimental study for automated congestion driving

AU - Urhahne, Joseph

AU - Piastowski, Patrick

AU - van der Voort, Mascha C.

N1 - Conference code: 11

PY - 2015

Y1 - 2015

N2 - Taking a collaborative approach in automated congestion driving with a Traffic Jam Assist system requires the driver to take over control in certain traffic situations. In order to warn the driver appropriately, warnings are issued (“pay attention” vs. “take action”) due to a control transition strategy that reacts to lane change manoeuvres by surrounding traffic. This paper presents the outcome of a driving simulator study regarding the evaluation of a control transition strategy. The strategy was found to provide adequate support to drivers. However, driver acceptance can be increased. A refined model is proposed.

AB - Taking a collaborative approach in automated congestion driving with a Traffic Jam Assist system requires the driver to take over control in certain traffic situations. In order to warn the driver appropriately, warnings are issued (“pay attention” vs. “take action”) due to a control transition strategy that reacts to lane change manoeuvres by surrounding traffic. This paper presents the outcome of a driving simulator study regarding the evaluation of a control transition strategy. The strategy was found to provide adequate support to drivers. However, driver acceptance can be increased. A refined model is proposed.

KW - Hybrid systems

KW - Medical imaging

KW - Optimization

KW - Pattern recognition

KW - Automated image analysis

KW - Computer graphics

KW - Computer vision

KW - Health care

KW - Image processing

KW - Machine learning

KW - Magnetic resonance imaging

KW - Medical image software

KW - Multi-agent

KW - Ontology

KW - Simulated annealing

KW - SPARQL

KW - Video games

KW - Virtual reality

KW - Warehouse network modeling

U2 - 10.1007/978-3-319-27857-5

DO - 10.1007/978-3-319-27857-5

M3 - Chapter

SN - 978-3-319-27856-8

VL - 1

T3 - Lecture Notes in Computer Science

SP - 784

EP - 794

BT - Advances in Visual Computing

A2 - Bebis, George

A2 - Boyle, Richard

A2 - Parvin, Bahram

A2 - Koracin, Darko

A2 - Pavlidis, Ioannis

A2 - Feris, Rogerio

A2 - McGraw, Tim

A2 - Elendt, Mark

A2 - Kopper, Regis

A2 - Ragan, Eric

A2 - Ye, Zhao

A2 - Weber, Gunther

PB - Springer

T2 - 11th International Symposium on Visual Computing, ISVC 2015

Y2 - 14 December 2015 through 16 December 2015

ER -

Urhahne J, Piastowski P, van der Voort MC. Modelling and experimental study for automated congestion driving. In Bebis G, Boyle R, Parvin B, Koracin D, Pavlidis I, Feris R, McGraw T, Elendt M, Kopper R, Ragan E, Ye Z, Weber G, editors, Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings. Vol. 1. Springer. 2015. p. 784-794. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-27857-5

Modelling and experimental study for automated congestion driving

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this