Scipediacontent: Scipediacontent moved page Draft Content 137228642 to 238,295gb

2021-03-22T20:22:34Z

Scipediacontent moved page Draft Content 137228642 to 238,295gb

Scipediacontent: Created page with " == Abstract == Predicting driver rear-end risk-avoidance maneuvers in cut-in scenarios, especially dangerous precrash scenarios, benefits the customization of automatic driv..."

2021-03-22T20:21:48Z

Created page with " == Abstract == Predicting driver rear-end risk-avoidance maneuvers in cut-in scenarios, especially dangerous precrash scenarios, benefits the customization of automatic driv..."

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== Abstract ==

Predicting driver rear-end risk-avoidance maneuvers in cut-in scenarios, especially dangerous precrash scenarios, benefits the customization of automatic driving, particularly automatic steering. This paper studies driver rear-end risk-avoidance behaviors in cut-in scenarios on a straight three-lane highway. Data from 24 participants in 1326 valid trials were collected using a motion-based driving simulator. An Eysenck Personality Questionnaire (revised for Chinese participants) was used to obtain the personality traits of the participants. Based on a statistical analysis, the candidate features used in the driver maneuver prediction were determined as a combination of objective risk indicators and driver characteristics. A decision tree-based model was constructed for maneuver prediction in cut-in scenarios. The prediction accuracy of the extracted classification rules was 79.2% for the training data set and 80.3% for the test data set. The most powerful predictive variables were extracted, and their effects on maneuver decisions were analyzed. The results show that driver characteristics strongly influence the prediction of maneuver decisions.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_137228642-beopen1183-6734-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2017/7170358.pdf http://downloads.hindawi.com/journals/jat/2017/7170358.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2017/7170358 http://dx.doi.org/10.1155/2017/7170358] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2017/7170358.pdf http://downloads.hindawi.com/journals/jat/2017/7170358.pdf],
: [http://downloads.hindawi.com/journals/jat/2017/7170358.xml http://downloads.hindawi.com/journals/jat/2017/7170358.xml],
: [http://dx.doi.org/10.1155/2017/7170358 http://dx.doi.org/10.1155/2017/7170358]

* [http://downloads.hindawi.com/journals/jat/2017/7170358.pdf http://downloads.hindawi.com/journals/jat/2017/7170358.pdf],
: [https://www.hindawi.com/journals/jat/2017/7170358 https://www.hindawi.com/journals/jat/2017/7170358],
: [https://research.chalmers.se/en/publication/248895 https://research.chalmers.se/en/publication/248895],
: [http://publications.lib.chalmers.se/records/fulltext/248895/local_248895.pdf http://publications.lib.chalmers.se/records/fulltext/248895/local_248895.pdf],
: [https://doi.org/10.1155/2017/7170358 https://doi.org/10.1155/2017/7170358],
: [https://core.ac.uk/display/88193386 https://core.ac.uk/display/88193386],
: [https://academic.microsoft.com/#/detail/2587855335 https://academic.microsoft.com/#/detail/2587855335] under the license http://creativecommons.org/licenses/by/4.0/

* [http://dx.doi.org/10.1155/2017/7170358 http://dx.doi.org/10.1155/2017/7170358],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195]

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Scipediacontent: Scipediacontent moved page Draft Content 137228642 to 238,295gb

Scipediacontent: Created page with " == Abstract == Predicting driver rear-end risk-avoidance maneuvers in cut-in scenarios, especially dangerous precrash scenarios, benefits the customization of automatic driv..."