NDLI: Predicting drivers' direction sign reading reaction time using an integrated cognitive architecture

Content Provider	IET Digital Library
Author	Deng, Chao Cao, Shi Wu, Chaozhong Lyu, Nengchao
Abstract	Drivers' reaction time of reading signs on expressways is a fundamental component of sight distance design requirements, and reaction time is affected by many factors such as information volume and concurrent tasks. We built cognitive simulation models to predict drivers' direction sign reading reaction time. Models were built using the queueing network-adaptive control of thought rational (QN-ACTR) cognitive architecture. Drivers' task-specific knowledge and skills were programmed as production rules. Two assumptions about drivers' strategies were proposed and tested. The models were connected to a driving simulator program to produce prediction of reaction time. Model results were compared to human results in sign reading single-task and reading while driving dual-task conditions. The models were built using existing modelling methods without adjusting any parameter to fit the human data. The models' prediction was similar to the human data and could capture the different reaction time in different task conditions with different numbers of road names on the direction signs. Root mean square error (RMSE) was 0.3 s, and mean absolute percentage error (MAPE) was 12%. The results demonstrated the models' predictive power. The models provide a useful tool for the prediction of driver performance and the evaluation of direction sign design.
Starting Page	622
Ending Page	627
Page Count	6
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 4, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5160
Journal	IET Intelligent Transport Systems
Publisher Date	2018-11-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cognition Cognitive Simulation Model Concurrent Tasks Driver Information System Driver Performance Drivers Direction Sign Reading Reaction Time Prediction Driving Simulator Program Dual-task Condition Ergonomic Aspects of Computing Expressways Human Data Human Factors Information Volume Integrated Cognitive Architecture Interpolation And Function Approximation MAPE Mean Absolute Percentage Error Mean Square Error Method Modelling Method Numerical Analysis Production Rules QN-ACTR Queueing Network-adaptive Control of Thought Rational Cognitive Architecture Queueing Theory RMSE Road Names Root Mean Square Error Sight Distance Design Requirements Single Task Condition Social And Behavioural Sciences Computing Traffic Engineering Computing
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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