Title
Adaptive Virtual Tow Bar, research results 2016
Author
Willemsen, D.M.C.
Hueting, T.F.
Joosten, B.
Uittenbogaard, J.
Martens, M.H.
Publication year
2017
Abstract
This document reports the advances made in 2016 for the Early Research Program (ERP) Human Enhancement: Adaptive Automation, sub-project Adaptive Virtual Tow Bar. The ambition of the large scale TNO Early Research Program (ERP) Human Enhancement is to develop a transparent (human-in-the-loop) adaptive automation platform that substantially improves safety for manoeuvring and control tasks, based on a computational human model to assess current and predicted human task load. Adaptive Automation is one of the main foci in the Human Enhancement program. The idea is that the control of a vehicle (car/truck) shifts between humans and vehicles dynamically, depending on environmental factors, operator workload, and performance. The control may shift because of limitations in the automated system, due to system failures, system boundaries or because the human and/or the combination human/system can perform better than the automated system by itself. The use case of the Adaptive Virtual Tow Bar (A-VTB) describes a truck platooning situation in which two trucks are virtually connected through a communication channel (also referred to as 'platooning'). The first truck is manually driven by a professional truck driver (level 0 in the SAE definition of automated driving: manual driving). The second truck is driving behind the first truck in highly automated mode, using information gathered by means of cooperative technology and its own sensors. Because of the cooperative technology in both trucks, they can drive with a small time gap between the trucks and thereby save fuel due to better aerodynamics. Besides that, the driver of the second, automated, truck will be temporarily out of the loop, being able to relax or maybe do additional tasks. The main question that is currently being asked in A-VTB is: 'How long does it take for a driver to regain control after having used a platooning automation function (A-VTB)?'. An estimator named Driver Readiness Estimator (DRE) will be developed to answer this question.
Subject
Human & Operational Modelling
PCS - Perceptual and Cognitive Systems
ELSS - Earth, Life and Social Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:3c3ad7c6-436e-476b-bfdb-9c2dd0fa4825
TNO identifier
747140
Report number
TNO 2017 R10330
Publisher
TNO, Soesterberg
Document type
report