Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43059
Title: On the Interest of Extending Internet of Behaviors to Internet of Habits: A Preliminary Exploration
Authors: AL ABRI, Khalid 
Mastouri, Mahmoud
Bouyahia, Zied
Haddad, Hedi
YASAR, Ansar 
Shakshuki, Elhadi
Issue Date: 2023
Publisher: ELSEVIER SCIENCE BV
Source: 18TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS, FNC 2023/20TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING, MOBISPC 2023/13TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY, SEIT 2023, ELSEVIER SCIENCE BV, p. 122 -130
Series/Report: Procedia Computer Science
Abstract: We are investigating in this paper the issue of managing driving behaviors. In spite of the intensive research works that have addressed this issue, there is still a need for further investigations concerning the changing magnitude of the behaviors, their impact, as well as their inter-relations. Within this context, we are proposing in this paper a new approach for driving behavior management via the concepts of the Internet of Driving Behaviors (IoDB) and the Internet of the Driving Habits (IoDH). We are particularly aiming to inspect driving behavior scores and identify those repetitive aggressive conducts that are becoming long-lasting habits. In order to prevent and/or heal any driving habits that would increase road traffic risks and crashes, we are proposing the Invest-Prevent-Heal-Accompany process that uses the concepts of Confusion Driving Matrix and Confusion Behavior Matrix to investigate the reasons and causes of traffic homogeneity and driving scores. We explore the interest of the proposed approach using a dataset of 942 trips of 252 drivers collected from a governmental organization at Muscat city, Oman. (c) 2023 The Authors. Published by Elsevier B.V.
Notes: Al Abri, KAS (corresponding author), Hasselt Univ, Transportat Res Inst IMOB, Hasselt, Belgium.
khalid.alabri@uhasselt.be
Document URI: http://hdl.handle.net/1942/43059
ISSN: 1877-0509
DOI: 10.1016/j.procs.2023.09.019
ISI #: 001196890200015
Rights: 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Conference Program Chair
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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