Latest revision as of 17:37, 28 January 2021

Abstract

ITS can play a significant role in the improvement of traffic flow, traffic safety and greenhouse gas emissions. However, the implementation of Advanced Driver Assistance Systems may lead to adaptation effects in longitudinal driving behavior following driver distraction. It was however not yet clear how to model these adaptation effects in driving behavior mathematically and on which theoretical framework this should be grounded. To this end in this contribution we introduce a theoretical framework based on the Task-Capability-Interface model by Fuller and integrate this model into the Intelligent Driver Model. Through a case study using simulations we show that this integration provides a relatively adequate description of the effects of driver distraction. The contribution finishes with conclusions and recommendations for future research.

Original document

The different versions of the original document can be found in:

• http://resolver.tudelft.nl/uuid:a489552c-1cf3-4596-b794-d64a23e4c657

• http://resolver.tudelft.nl/uuid:a489552c-1cf3-4596-b794-d64a23e4c657,

http://dx.doi.org/10.1109/itsc.2013.6728566

• http://xplorestaging.ieee.org/ielx7/6712176/6728201/06728566.pdf?arnumber=6728566,

http://dx.doi.org/10.1109/itsc.2013.6728566

• https://dblp.uni-trier.de/db/conf/itsc/itsc2013.html#HoogendoornAH13,

https://trid.trb.org/view/1352652,

https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3Aa489552c-1cf3-4596-b794-d64a23e4c657,

https://dx.doi.org/10.1109/ITSC.2013.6728566,

https://ieeexplore.ieee.org/document/6728566,

http://ieeexplore.ieee.org/document/6728566,

http://dx.doi.org/10.1109/ITSC.2013.6728566,

https://academic.microsoft.com/#/detail/2067129627