A perceptually inspired Driver Model for Speed Control in curves

Virgilio Gruppelaar; Rene van Paassen; Max Mulder; David Abbink

doi:10.1109/SMC.2018.00220

A perceptually inspired Driver Model for Speed Control in curves

Virgilio Gruppelaar, Rene van Paassen, Max Mulder, David Abbink

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

9 Citations (Scopus)

173 Downloads (Pure)

Abstract

Understanding speed control in driving is important for analysis of road geometry and for the development of driver support assistance devices. Current models for speed selection are primarily based on the relation between road geometry and observed speeds. This study proposes a more detailed model that relates individual speed control to accelerator and brake pedal, based on perception of the visual scene as captured by the Extended Tangent Point (ETP). We investigated the potential of the the Time to ETP (TETP) as input for accelerator and brake pedal control. Based on observations from driving studies, we propose a model, and tuning rules to adjust the model parameters to observed behavior. A simulator experiment showed that, after individualization of the thresholds using a binary classification method, the model is capable of accurately capturing individual speed adaptation of 15 drivers on single lane roads with multiple curves.

Original language	English
Title of host publication	Proceedings 2018 IEEE International Conference on Systems, Man, and Cybernetics
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	1253–1258
DOIs	https://doi.org/10.1109/SMC.2018.00220
Publication status	Published - 2018
Event	SMC 2018: IEEE International Conference on Systems, Man, and Cybernetics - Myazaki, Japan Duration: 7 Oct 2018 → 10 Oct 2018 http://www.smc2018.org/

Conference

Conference	SMC 2018: IEEE International Conference on Systems, Man, and Cybernetics
Abbreviated title	SMC 2108
Country/Territory	Japan
City	Myazaki
Period	7/10/18 → 10/10/18
Internet address	http://www.smc2018.org/

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10.1109/SMC.2018.00220

IEEESMC2018-VirgilioAccepted author manuscript, 1.86 MB

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@inproceedings{671702ccbd114548827fabe113f37826,

title = "A perceptually inspired Driver Model for Speed Control in curves",

abstract = "Understanding speed control in driving is important for analysis of road geometry and for the development of driver support assistance devices. Current models for speed selection are primarily based on the relation between road geometry and observed speeds. This study proposes a more detailed model that relates individual speed control to accelerator and brake pedal, based on perception of the visual scene as captured by the Extended Tangent Point (ETP). We investigated the potential of the the Time to ETP (TETP) as input for accelerator and brake pedal control. Based on observations from driving studies, we propose a model, and tuning rules to adjust the model parameters to observed behavior. A simulator experiment showed that, after individualization of the thresholds using a binary classification method, the model is capable of accurately capturing individual speed adaptation of 15 drivers on single lane roads with multiple curves. ",

author = "Virgilio Gruppelaar and {van Paassen}, Rene and Max Mulder and David Abbink",

year = "2018",

doi = "10.1109/SMC.2018.00220",

language = "English",

pages = "1253–1258",

booktitle = "Proceedings 2018 IEEE International Conference on Systems, Man, and Cybernetics",

publisher = "IEEE",

address = "United States",

note = "SMC 2018: IEEE International Conference on Systems, Man, and Cybernetics, SMC 2108 ; Conference date: 07-10-2018 Through 10-10-2018",

url = "http://www.smc2018.org/",

}

Gruppelaar, V, van Paassen, R , Mulder, M & Abbink, D 2018, A perceptually inspired Driver Model for Speed Control in curves. in Proceedings 2018 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, Piscataway, NJ, USA, pp. 1253–1258, SMC 2018: IEEE International Conference on Systems, Man, and Cybernetics, Myazaki, Japan, 7/10/18. https://doi.org/10.1109/SMC.2018.00220

A perceptually inspired Driver Model for Speed Control in curves. / Gruppelaar, Virgilio; van Paassen, Rene ; Mulder, Max et al.
Proceedings 2018 IEEE International Conference on Systems, Man, and Cybernetics. Piscataway, NJ, USA: IEEE, 2018. p. 1253–1258.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A perceptually inspired Driver Model for Speed Control in curves

AU - Gruppelaar, Virgilio

AU - van Paassen, Rene

AU - Mulder, Max

AU - Abbink, David

PY - 2018

Y1 - 2018

N2 - Understanding speed control in driving is important for analysis of road geometry and for the development of driver support assistance devices. Current models for speed selection are primarily based on the relation between road geometry and observed speeds. This study proposes a more detailed model that relates individual speed control to accelerator and brake pedal, based on perception of the visual scene as captured by the Extended Tangent Point (ETP). We investigated the potential of the the Time to ETP (TETP) as input for accelerator and brake pedal control. Based on observations from driving studies, we propose a model, and tuning rules to adjust the model parameters to observed behavior. A simulator experiment showed that, after individualization of the thresholds using a binary classification method, the model is capable of accurately capturing individual speed adaptation of 15 drivers on single lane roads with multiple curves.

AB - Understanding speed control in driving is important for analysis of road geometry and for the development of driver support assistance devices. Current models for speed selection are primarily based on the relation between road geometry and observed speeds. This study proposes a more detailed model that relates individual speed control to accelerator and brake pedal, based on perception of the visual scene as captured by the Extended Tangent Point (ETP). We investigated the potential of the the Time to ETP (TETP) as input for accelerator and brake pedal control. Based on observations from driving studies, we propose a model, and tuning rules to adjust the model parameters to observed behavior. A simulator experiment showed that, after individualization of the thresholds using a binary classification method, the model is capable of accurately capturing individual speed adaptation of 15 drivers on single lane roads with multiple curves.

U2 - 10.1109/SMC.2018.00220

DO - 10.1109/SMC.2018.00220

M3 - Conference contribution

SP - 1253

EP - 1258

BT - Proceedings 2018 IEEE International Conference on Systems, Man, and Cybernetics

PB - IEEE

CY - Piscataway, NJ, USA

T2 - SMC 2018: IEEE International Conference on Systems, Man, and Cybernetics

Y2 - 7 October 2018 through 10 October 2018

ER -

A perceptually inspired Driver Model for Speed Control in curves

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