Abstract
This paper serves as a critical survey for automatic
driving style recognition approaches and presents "work
in progress" ideas that can be used for the development
of intelligent context-adaptive driving assistance
applications.Furthermore, a preliminary specification of
a context-adaptive application that can be described by
the following three steps is provided: at first, driving
style is automatically classified into one out of a set
of predefined classes that are learnt through historic
driving and trip data; secondly, based on the driving
style recognition a context-adaptive driving application
is proposed; thirdly, eco-safe and co-operative driving
behaviour can be rewarded by the system by introducing a
serious game theoretic approach. While the focus of this
paper lies on reviewing the state of the art for
implementing the first step, providing the high-level
specification of the two other steps offers valuable
insight on the requirements of such collaborative driving
application.
| Original language | English |
|---|---|
| Title of host publication | ADAPTIVE 2014 : The Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications |
| Publisher | International Academy, Research, and Industry Association IARIA |
| Pages | 73-78 |
| ISBN (Print) | 978-1-61208-341-4 |
| Publication status | Published - 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | The Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2014 - Venice, Italy Duration: 25 May 2014 → 29 May 2014 |
Conference
| Conference | The Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2014 |
|---|---|
| Abbreviated title | ADAPTIVE 2014 |
| Country/Territory | Italy |
| City | Venice |
| Period | 25/05/14 → 29/05/14 |
Keywords
- driving behaviour
- vehicle dynamics
- time-series analysis
- supervised learning
- classification
- co-operative system