Comfort Adjustment in Longitudinal Vehicle Guidance using Neural Networks
- Resource Type
- Conference
- Authors
- Tahirovic, A.; Meier, G.; Konjicija, S.; Avdagic, Z.; Wurmthaler, C.
- Source
- EUROCON 2005 - The International Conference on "Computer as a Tool" Computer as a Tool, 2005. EUROCON 2005.The International Conference on. 1:326-329 2005
- Subject
- Computing and Processing
Intelligent networks
Navigation
Neural networks
Traffic control
Telecommunication traffic
Vehicle dynamics
Testing
Acceleration
Automatic generation control
Communication system traffic control
longitudinal
vehicle guidance
modelling
simulation
comfort adjustment
- Language
The purpose of this paper is to show a simple ability of a neural network usage in longitudinal vehicle guidance for the comfort adjustment. It gives a short overview of a trajectory generation algorithm as well as comfort adjustment for longitudinal movement using neural networks. The algorithm for longitudinal trajectory generation was implemented in AUDI test vehicle and the results have been shown. Also, two concepts of comfort adjustment using neural networks were also presented. The comfort adjustment was associated with the certain driver tracking style ranging from extremely comfort to extremely sportive ones.