MULTI-CUE: A comparative study of motion, verbal and visual cues in automated driving systems (ADS)
Research Project , 2020

An automated driving system (ADS) will need to communicate its intended actions in order to avoid alarming or surprising drivers and other occupants of a vehicle. This communication can take different forms, e.g. motion or haptic cues (for example, sequences of haptic feedbacks in the form of vibrations), visual cues (projected on screen; for instance, pedestrian detection), and verbal cues (spoken voice from an intelligent agent). It is an open question which of these modes of communication provide the best information transfer (particularly with regards to safety) depending on the context and the individual characteristics of the driver (or occupants).

In this pre-study, we will study some combinations of cues in different contexts, assessing the relative merits regarding safety and other aspects such as riding comfort, fuel efficiency and acceptability. A specific use case is automated driving for fuel efficiency, a case that will involve cues that might not be easily understandable to the occupants of the vehicle.

Participants

Mattias Wahde (contact)

Full Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Mauro Bellone

Researcher at Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Pinar Boyraz Baykas

Associate Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety, Crash Analysis and Prevention

Marco Dozza

Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety, Crash Analysis and Prevention

Krister Wolff

Associate Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Funding

Chalmers

Funding Chalmers participation during 2020

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

Transport

Areas of Advance

Basic sciences

Roots

Innovation and entrepreneurship

Driving Forces

More information

Latest update

2020-05-22