Dual-Task Modeling of Driving Lateral Control with a Motor Distraction Task

Cuie Wang, Luzheng Bi*, Mingtao Wang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, we develop a dual-task model of driving with a motor distraction task using the driver lateral control model based on the Queuing Network (QN) and Neuromuscular System (NMS). The comparison between the model simulation and experimental data from a driving simulator suggests that this computational model can perform driving with a secondary motor task well, and its performance is in agreement with the driver data under the dual-task driving condition. This proposed computational dual-task model can compute, simulate, and predict driving behaviors in dual-task situations, and thus has potential to help develop the design of in-vehicle devices.

Original languageEnglish
Title of host publicationProceedings - 2014 7th International Symposium on Computational Intelligence and Design, ISCID 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages162-165
Number of pages4
ISBN (Electronic)9781479970056
DOIs
Publication statusPublished - 8 Apr 2015
Event7th International Symposium on Computational Intelligence and Design, ISCID 2014 - Hangzhou, China
Duration: 13 Dec 201414 Dec 2014

Publication series

NameProceedings - 2014 7th International Symposium on Computational Intelligence and Design, ISCID 2014
Volume2

Conference

Conference7th International Symposium on Computational Intelligence and Design, ISCID 2014
Country/TerritoryChina
CityHangzhou
Period13/12/1414/12/14

Keywords

  • driver lateral control
  • dual-task model
  • in-vehicle devices
  • motor distraction

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