A comprehensive speed control model for human drivers with application to intersection left turns

Nobukawa, K., Gordon, T. J., Barnes, M. A. and Goodsell, R. J. (2011) A comprehensive speed control model for human drivers with application to intersection left turns. In: American Control Conference, 29 June 2011 through 1 July 2011, San Francisco, CA.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


This paper presents analysis and modeling of vehicle speed control as demonstrated by human drivers making left turns at intersections. The analysis is based on detailed measurements taken under naturalistic driving conditions. An important application is in the design of future driver assistance systems aimed to reduce intersection collision risk. The model uses the driver's assumed prior estimate of vehicle acceleration based on visual preview information, and unifies estimates of longitudinal acceleration (for braking to rest) and lateral acceleration for negotiating the turn. The relationship between prior acceleration estimates and resulting vehicle accelerations are studied for both stopping and turning events. Closed-loop implementation adopts a nonlinear controller with mode switching functionality. Example simulations show that the model is capable of accurately reproducing measured speed profiles. © 2011 AACC American Automatic Control Council.

Additional Information:Conference Code:86417 Article number:5991415
Keywords:Analysis and modeling, Closed-loop, Collision risks, Driving conditions, Future driver assistance systems, Human drivers, Lateral acceleration, Left turns, Longitudinal acceleration, Measured speed, Mode-switching, Non-linear controllers, Prior estimates, Vehicle acceleration, Vehicle speed, Automobile drivers, Computer simulation, Estimation, Speed control, Acceleration
Subjects:H Engineering > H100 General Engineering
H Engineering > H330 Automotive Engineering
Divisions:College of Science > School of Engineering
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ID Code:11655
Deposited On:03 Oct 2013 14:51

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