Paper Info
Title
Quantitative Evaluation of Distracted Driving by Using a PrARX Model
Abstract
This research develops a metric for the evaluation of an automobile driver's distraction based on a mathematical driving behavior model. Driving data was collected in a driving simulator. The primary task was to maintain a constant following distance behind a lead vehicle. The secondary task, which brings about the distraction, is to operate the in-car touch panel. A PrARX model is used to describe the vehicle-following behavior. In the PrARX model, the weighting parameter represents the driver's logical decision making and the auto-regressive exogenous models characterize the driver's continuous-time motion control behavior. By calculating the entropy of the PrARX model, the driver's distraction, which is considered a degradation of decision-making ability, is assessed in a quantitative manner.
Year
DOI
Venue
2013
10.1109/SMC.2013.329
SMC
Keywords
Field
DocType
prarx model,secondary task,motion control,auto-regressive exogenous model,quantitative evaluation,decision making,distraction estimation,primary task,automobile driver,driving simulator,constant following distance,autoregressive exogenous models,vehicle following behavior,in-car touch panel,driving behavior model,touch sensitive screens,continuous-time motion control behavior,driver continuous time motion control behavior,mathematical driving behavior model,automotive electronics,navigation,distracted driving data,automobile driver distraction,driver information systems,lead vehicle,entropy,vehicle-following behavior,driver logical decision making
Automotive electronics,Distraction,Motion control,Weighting,Driving simulator,Computer science,Simulation,Distracted driving
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
1
5
Name
Order
Citations
PageRank
Kazuma Kato100.34
Yuichi Tazaki27610.74
Tatsuya Suzuki317842.47
Blaine Levedahl452.64
Hiroyuki Okuda55713.90