PMID- 19286165
OWN - NLM
STAT- MEDLINE
DCOM- 20100218
LR  - 20191210
IS  - 1872-9126 (Electronic)
IS  - 0003-6870 (Linking)
VI  - 41
IP  - 2
DP  - 2010 Mar
TI  - Field tests and machine learning approaches for refining algorithms and 
      correlations of driver's model parameters.
PG  - 211-24
LID - 10.1016/j.apergo.2009.01.010 [doi]
AB  - This paper describes the field tests on a driving simulator carried out to 
      validate the algorithms and the correlations of dynamic parameters, specifically 
      driving task demand and drivers' distraction, able to predict drivers' 
      intentions. These parameters belong to the driver's model developed by AIDE 
      (Adaptive Integrated Driver-vehicle InterfacE) European Integrated Project. 
      Drivers' behavioural data have been collected from the simulator tests to model 
      and validate these parameters using machine learning techniques, specifically the 
      adaptive neuro fuzzy inference systems (ANFIS) and the artificial neural network 
      (ANN). Two models of task demand and distraction have been developed, one for 
      each adopted technique. The paper provides an overview of the driver's model, the 
      description of the task demand and distraction modelling and the tests conducted 
      for the validation of these parameters. A test comparing predicted and expected 
      outcomes of the modelled parameters for each machine learning technique has been 
      carried out: for distraction, in particular, promising results (low prediction 
      errors) have been obtained by adopting an artificial neural network.
FAU - Tango, Fabio
AU  - Tango F
AD  - Centro Ricerche Fiat, Strada Torino, Orbassano (TO), Italy. fabio.tango@crf.it
FAU - Minin, Luca
AU  - Minin L
FAU - Tesauri, Francesco
AU  - Tesauri F
FAU - Montanari, Roberto
AU  - Montanari R
LA  - eng
PT  - Journal Article
PT  - Validation Study
DEP - 20090314
PL  - England
TA  - Appl Ergon
JT  - Applied ergonomics
JID - 0261412
SB  - IM
MH  - Adult
MH  - *Algorithms
MH  - *Artificial Intelligence
MH  - Attention
MH  - *Automobile Driving
MH  - Computer Simulation
MH  - Fuzzy Logic
MH  - Humans
MH  - *Models, Theoretical
MH  - *Research
EDAT- 2009/03/17 09:00
MHDA- 2010/02/19 06:00
CRDT- 2009/03/17 09:00
PHST- 2008/07/30 00:00 [received]
PHST- 2008/12/22 00:00 [revised]
PHST- 2009/01/06 00:00 [accepted]
PHST- 2009/03/17 09:00 [entrez]
PHST- 2009/03/17 09:00 [pubmed]
PHST- 2010/02/19 06:00 [medline]
AID - S0003-6870(09)00006-4 [pii]
AID - 10.1016/j.apergo.2009.01.010 [doi]
PST - ppublish
SO  - Appl Ergon. 2010 Mar;41(2):211-24. doi: 10.1016/j.apergo.2009.01.010. Epub 2009 
      Mar 14.