Project Description
HF Auto wants to study human behaviour in highly automated driving (HAD) - highly automated driving - using simulator studies with a newly developed driver status monitor. Knowledge and behaviour of the driver are included in mathematical driver and traffic flow models. We will use this methodology to improve the benefits of HAD in safety, traffic efficiency and eco-driving before the system is introduced. A roadmap is proposed for the market introduction of HAD, considering legal, human and technical needs.
Inputs
Main INPUT of the project is:
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Data from various members who work on different scenarios related to HAD driving are collected.
Outputs
Main OUTPUT of the project is:
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Data collected is used for developing Systems which help in automated driving.
Project Assets
It generates knowledge on Human Factors of automated driving towards safer road transportation.
Project Struggles
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Gathering data is a difficult and time-consuming task.
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Creating a virtual driving environment is an expensive and a time consuming task.
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There is a chance of many practical driving difficulties getting ignored.
Project objective
The main objective is to develop a multimodal human-machine interface (HMI) that supports the driver at HAD and during transitions between automated and manual driving.
Project Status
It is implemented and is functional. Predicted advantages of HAD in terms of improved safety, traffic efficiency and eco-driving before the system is introduced. (Netherlands)
Project Consortium member(s)
Project Consortium members:
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TNO
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TU Southampton
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Toyota Motor Europe
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IFSTTAR
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Volvo Cars Netherlands
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SWOV
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TU Delft
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Jaguar
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TU Twente
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TU München
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TU Chalmers
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Swedish National Road and Transport Research Institute
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Continental AG
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Volvo Trucks Netherlands
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BMW Group
Contact
Dr. Riender Happee, Project Manager
R.Happee@tudelft.nl
Nancy Kouters, Project Administrator
N.Kouters@tudelft.nl