| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10140714 | Transportation Research Part B: Methodological | 2018 | 24 Pages |
Abstract
The model was estimated using a dataset collected in an on-road experiment with full-range ACC. The results reveal that driver decisions to resume manual control and to regulate the target speed in full-range ACC can be interpreted based on the RAT. The model can be used to forecast driver response to a driving assistance system that adapts its settings to prevent control transitions while guaranteeing safety and comfort. The model can also be implemented into a microscopic traffic flow simulation to evaluate the impact of ACC on traffic flow efficiency and safety accounting for control transitions and target speed regulations.
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Social Sciences and Humanities
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Management Science and Operations Research
Authors
Silvia F. Varotto, Haneen Farah, Tomer Toledo, Bart van Arem, Serge P. Hoogendoorn,