Title
Active deceleration support in car following
Author
Mulder, M.
Pauwelussen, J.J.A.
van Paassen, M.M.
Mulder, M.
Abbink, D.A.
TNO Defensie en Veiligheid
Publication year
2010
Abstract
A haptic gas pedal feedback system is developed that provides car-following information via haptic cues from the gas pedal. During normal car-following situations, the haptic feedback (HF) cues were sufficient to reduce control activity and improve car-following performance. However, in more critical following situations, drivers use the brake pedal to maintain separation with the lead vehicle. A deceleration control (DC) algorithm is designed that, in addition to the HF, provided increased deceleration upon release of the gas pedal during car-following situations that required faster deceleration than releasing the gas pedal alone would do. For the design, a driver model for car following in different situations was estimated from driving simulator data. A Monte Carlo analysis with the driver model yielded subjective decision points, where drivers released the gas pedal to start pressing the brakes. This enabled the definition of a reaction field, which determined the needed deceleration input for the DC algorithm. The tuned DC algorithm was tested in a fixed-base driving simulator experiment. It was shown that the active deceleration support improved the car-following performance while reducing the driver brake pedal input magnitude in the conditions tested. © 2006 IEEE.
Subject
Traffic
Car following
deceleration control (DC) algorithm
driver model
driver support system
haptic feedback (HF)
Brake pedals
Car following
Control activities
DC algorithm
Decision points
Driver models
Driver support system
Driving simulator
Gas pedals
Haptic feedbacks
Haptic gas pedal feedback
Lead vehicles
Monte carlo analysis
Reaction fields
Algorithms
Automobile drivers
Automobile simulators
Automobiles
Brakes
Deceleration
Friction materials
Gases
Haptic interfaces
Mathematical models
To reference this document use:
http://resolver.tudelft.nl/uuid:841d4c0e-3b0f-4273-b461-0a46d4d26ce5
DOI
https://doi.org/10.1109/tsmca.2010.2044998
TNO identifier
425145
ISSN
1083-4427
Source
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 40 (6), 1271-1284
Article number
No.: 5451062
Document type
article