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C.U. Driver - Outer UI for autonomous public transport

Renström, Petra (2020) In Diploma work IDEL01 20201
Industrial Design
Abstract
With the advent of autonomous vehicles (AV) comes a plethora of new parameters to take into consideration in automotive design.
Over the years, traffic signals and rules have developed in symbiosis, and are clear and easy to understand when the communication
is between drivers. It is less clear between driver and pedestrian, especially when a pedestrian intends to cross the street. A non-verbal
agreement is made as to who is allowed to proceed. With AVs, the driver will become obsolete, and pedestrians will have no means of
communicating with the vehicle.

This project explores the possibility of applying an outer User Interface (UI) for autonomous vehicles, by looking at past paradigm
shifts in technology, and analysing traffic... (More)
With the advent of autonomous vehicles (AV) comes a plethora of new parameters to take into consideration in automotive design.
Over the years, traffic signals and rules have developed in symbiosis, and are clear and easy to understand when the communication
is between drivers. It is less clear between driver and pedestrian, especially when a pedestrian intends to cross the street. A non-verbal
agreement is made as to who is allowed to proceed. With AVs, the driver will become obsolete, and pedestrians will have no means of
communicating with the vehicle.

This project explores the possibility of applying an outer User Interface (UI) for autonomous vehicles, by looking at past paradigm
shifts in technology, and analysing traffic signs and signals on a global scale. Limitations with this project lies in the local traffic signal
variations, as well as physical variations in vehicles, as these would affect the layout and final form of the UI. With this in mind, I have
chosen to focus this project on buses in public transportation.

The main objective of the project is to reassure the pedestrian of their safety. In summary, the core of this project explores the concept
of autonomous vehicle outer UI - one that can be adapted to situational and regional deviations, using both soft- and hardware. (Less)
Please use this url to cite or link to this publication:
author
Renström, Petra
supervisor
organization
course
IDEL01 20201
year
type
M2 - Bachelor Degree
subject
publication/series
Diploma work
report number
ISRN: LUT-DVIDE/ EX--18/50391-SE
other publication id
ISRN
language
English
id
9022951
date added to LUP
2020-06-26 16:14:37
date last changed
2020-06-26 16:14:37
@misc{9022951,
  abstract     = {{With the advent of autonomous vehicles (AV) comes a plethora of new parameters to take into consideration in automotive design.
Over the years, traffic signals and rules have developed in symbiosis, and are clear and easy to understand when the communication
is between drivers. It is less clear between driver and pedestrian, especially when a pedestrian intends to cross the street. A non-verbal
agreement is made as to who is allowed to proceed. With AVs, the driver will become obsolete, and pedestrians will have no means of
communicating with the vehicle.

This project explores the possibility of applying an outer User Interface (UI) for autonomous vehicles, by looking at past paradigm
shifts in technology, and analysing traffic signs and signals on a global scale. Limitations with this project lies in the local traffic signal
variations, as well as physical variations in vehicles, as these would affect the layout and final form of the UI. With this in mind, I have
chosen to focus this project on buses in public transportation.

The main objective of the project is to reassure the pedestrian of their safety. In summary, the core of this project explores the concept
of autonomous vehicle outer UI - one that can be adapted to situational and regional deviations, using both soft- and hardware.}},
  author       = {{Renström, Petra}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Diploma work}},
  title        = {{C.U. Driver - Outer UI for autonomous public transport}},
  year         = {{2020}},
}