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Modelling driver distraction effects due to mobile phone use on reaction time
- Source :
- IndraStra Global.
- Publication Year :
- 2017
- Publisher :
- PERGAMON-ELSEVIER SCIENCE LTD, 2017.
-
Abstract
- Phone use during driving causes decrease in situation awareness and delays response to the events happening in driving environment which may lead to accidents. Reaction time is one of the most suitable parameters to measure the effect of distraction on event detection performance. Therefore, this paper reports the results of a simulator study which analysed and modelled the effects of mobile phone distraction upon reaction time of the Indian drivers belonging to three different age groups. Two different types of hazardous events: (1) pedestrian crossing event and (2) road, crossing event by parked vehicles were included for measuring drivers' reaction times. Four types of mobile phone distraction tasks: simple conversation, complex conversation, simple texting and complex texting were included in the experiment. Two Weibull AFT (Accelerated Failure Time) models were developed for the reaction times against both the events separately, by taking all the phone use conditions and various other factors (such as age, gender, and phone use habits during driving) as explanatory variables. The developed models showed that in case of pedestrian crossing event, the phone use tasks: simple conversation, complex conversation, simple texting and complex texting caused 40%, 95%, 137% and 204% increment in the reaction times and in case of road crossing event by parked vehicles, the tasks caused 48%, 65%, 121% and 171% increment in reaction times respectively. Thus all the phone use conditions proved to be the most significant factors in degrading the driving performance. (C) 2017 Elsevier Ltd. All rights reserved.
- Subjects :
- Engineering
Roadside
Situation awareness
Texting
media_common.quotation_subject
Transportation
Accelerated failure time model
Pedestrian crossing
Driving Performance
Phone
Distraction
0502 economics and business
Vehicle Information-Systems
Reaction Time
Conversation
0501 psychology and cognitive sciences
Attention
050107 human factors
Simulation
Civil and Structural Engineering
media_common
Mental Workload
050210 logistics & transportation
Behavior
Event (computing)
business.industry
05 social sciences
Driver Distraction
Survival Analysis
Computer Science Applications
Impact
Mobile phone
Automotive Engineering
Cell Phones
business
Cognitive Load
Conversations
Subjects
Details
- Language :
- English
- ISSN :
- 23813652
- Database :
- OpenAIRE
- Journal :
- IndraStra Global
- Accession number :
- edsair.doi.dedup.....c496998dcdc1903e0fcdd8b074ab3d4a
- Full Text :
- https://doi.org/10.1016/j.trc.2017.02.007