Version 1
: Received: 27 January 2023 / Approved: 6 February 2023 / Online: 6 February 2023 (01:56:27 CET)
Version 2
: Received: 23 February 2023 / Approved: 24 February 2023 / Online: 24 February 2023 (09:05:57 CET)
How to cite:
Acerra, E. M.; Brasile, C.; Lantieri, C.; Vignali, V. Traffic Flow with the Adaptive Cruise Control: The Comparison between Autonomous and Manual Driving. Preprints2023, 2023020076. https://doi.org/10.20944/preprints202302.0076.v2
Acerra, E. M.; Brasile, C.; Lantieri, C.; Vignali, V. Traffic Flow with the Adaptive Cruise Control: The Comparison between Autonomous and Manual Driving. Preprints 2023, 2023020076. https://doi.org/10.20944/preprints202302.0076.v2
Acerra, E. M.; Brasile, C.; Lantieri, C.; Vignali, V. Traffic Flow with the Adaptive Cruise Control: The Comparison between Autonomous and Manual Driving. Preprints2023, 2023020076. https://doi.org/10.20944/preprints202302.0076.v2
APA Style
Acerra, E. M., Brasile, C., Lantieri, C., & Vignali, V. (2023). Traffic Flow with the Adaptive Cruise Control: The Comparison between Autonomous and Manual Driving. Preprints. https://doi.org/10.20944/preprints202302.0076.v2
Chicago/Turabian Style
Acerra, E. M., Claudio Lantieri and Valeria Vignali. 2023 "Traffic Flow with the Adaptive Cruise Control: The Comparison between Autonomous and Manual Driving" Preprints. https://doi.org/10.20944/preprints202302.0076.v2
Abstract
Adaptive Cruise Control (ACC) is useful in the most dangerous maneuvers such as braking and acceleration. This study assesses how ACC modifies traffic flows by analysing the differences be-tween manual and autonomous driving in connected and autonomous vehicles (CAVs). Using a platoon of 80 vehicles, tested in pairs on the road, it was possible to define the speed trends during braking and acceleration and the reaction times to the driving maneuvers (PRT, TH, TCC) with a kinematic data detector. The interactions between the CAV and the driver, have been studied in-novatively, i.e through gaze analysis. Situations of potential danger, characterized by the braking of the vehicle that precedes the car with the driver equipped with the eye tracker tool, have been recreated, considering the influence of the driver’s ACC experience. Results statistically confirmed that with the ACC switched on the reaction times are greater than manual driving (2.4/3.8 sec); this can lead to a reduction in road safety, further motivated by the rapid decrease in speed. The interpolation between automated and human data, finally, has allowed the detection of some criticalities of the system that are fundamental in order to reach the second level of automation.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
