NDLI: Conceptual design of a driving habit recognition framework

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Conceptual design of a driving habit recognition framework

Content Provider	IEEE Xplore Digital Library
Author	Papada, D. Jablokow, K.W.
Copyright Year	2011
Description	Author affiliation: The Pennsylvania State University, West Chester, USA (Papada, D.) \|\| The Pennsylvania State University, School of Graduate Professional Studies, Malvern, USA (Jablokow, K.W.)
Abstract	All drivers operate vehicles differently and demonstrate varying habits behind the wheel. Some drivers may execute vehicle maneuvers more cautiously than others, and some drivers may operate the vehicle with extreme inefficiencies. The habits developed by drivers can be viewed as a sequence or pattern of events that uniquely define the habitual behavior of the vehicle operator. In this paper, a conceptual design of a recognition system is discussed to classify sequences or patterns in vehicle data extracted from the Engine Control Unit in order to provide information about the vehicle operator's driving habits. Through an application of accepted pattern recognition techniques, Fuzzy Adaptive Resonance Theory, and Modern Control System Theory, a conceptual system framework was realized. To complement the conceptual design relationships between certain vehicle data parameters and certain human behaviors, models were developed to demonstrate these relationships created by this conceptual framework. These relationships were categorized and simulated in terms of vehicle safety and efficiency. Variables or factors were chosen to develop driving habit behavior models, such as wheel slippage, vehicle braking, fuel efficiency, and base or vehicle efficiency. The new conceptual framework was successfully validated through MATLAB simulations, consisting of 4 behavior models with a range of 11 variants. Evaluations of these behaviors provided the necessary feedback, via direct mapping of vehicle data points to a continuum of behavior types, to improve the vehicle operator's decision making.
Starting Page	59
Ending Page	66
File Size	607149
Page Count	8
File Format	PDF
ISBN	9781424499755
e-ISBN	9781424499762
DOI	10.1109/CIVTS.2011.5949531
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Classification algorithms Pattern recognition Vehicle behavior Fuels Engines Vehicles Clustering algorithms Driving habits Engine control unit Data models Mathematical model Artificial intelligence Adaptive resonsance theory
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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