EMDAS

12.69
From 2015 to 2017
Autonomous, automated and driver assisting vehicles are highly positioned on the international research agenda. Analysts predict a very large market potential in different sectors. With this project we enabled vehicle automation research in order to prepare for an expected market potential within the next 5 years. More specifically, we focused on operational traffic safety and investigated which potential road incidents would occur when an autonomous bus would be driving along Belgian roads.
The starting point for this project was a bus that was already being guided laterally (thus operated by automated steering), and which was supported by an extensive safety case for operation in the public space. During the project we learned from existing cases and explored new methods for the execution of an incremental safety case analysis when adding longitudinal guidance to this bus.
Within this project, we brought human driving notions into an automated vehicle. To this end, TML developed an objective framework for the assessment of safety impacts associated to the use of autonomous vehicles. In addition, TML developed an applicable HMI (human-machine interface) framework for optimal risk perception and action by a driver/observer in a (semi- or fully) autonomous mobile environment.

Period

From 2015 to 2017

Client

IWT

Partner

Flanders’ DRIVE/MAKE, University Ghent, Siemens Industry Software, TomTom Maps, Xenics, VDL Bus & Coach Roeselare
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