A Driver Model Using Optic Information for Longitudinal and Lateral Control of a Long Vehicle Combination
Paper i proceeding, 2014

High driver acceptance is believed to be an important aspect when introducing automated driving functionalities for prospective long vehicle combinations. The main hypothesis of this paper is that high driver acceptance can be realized by utilizing driver models inspired by human cognition as an integrated part of such functions. It is envisioned that the human driver will more easily understand, and trust, a system that behaves in a human-like manner. In the study of a combined retardation and lane-change scenario, a driver model based on optic information was used, together with a single track vehicle model, to control the steering and retardation of a simulated vehicle. The parameters of the driver model’s lateral behavior were estimated using driving data measured from an A-double combination during actual lane-changes. Numerical simulations showed that the driver model was able to generate safe and conservative deceleration and steering for the studied scenario. In future work for automated functionalities, the combined driver and vehicle model could be used when evaluating different tentative plans for lane changes, in real time.

steering behavior

automation

Long vehicle combinations

driver model

Författare

Peter Nilsson

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

Leo Laine

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

Ola Benderius

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

Bengt J H Jacobson

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), October 8-11, 2014. Qingdao, China

1456-1461

Styrkeområden

Transport

Ämneskategorier

Farkostteknik

DOI

10.1109/ITSC.2014.6957891

ISBN

978-1-4799-6077-4

Mer information

Skapat

2017-10-07