Advanced Transport Engineering Techniques for Monitoring Driving Habits Through In-vehicle Telematics Systems

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2024 | Volume : 11 | Issue : 03 | Page : 33-42
    By

    Shahin Mirbakhsh,

Abstract

Global road traffic fatalities are on the rise, largely due to preventable driving behaviors. In-vehicle telematics has emerged as a technology capable of enhancing driving behavior, widely adopted by insurance companies to monitor their clients’ behaviors. This systematic synthesizes how in-vehicle telematics has been modeled and analyzed. The paper conducted electronic searches on Scopus and Web of Science, selecting studies with a sample size of at least 10 participants, data collected over multiple days, and publication dates from 2010 onwards. Forty-five relevant papers were included, with 27 rated as “good” in quality assessment. The literature showed a split in focus regarding in-vehicle telematics. Some studies explored its utility for insurance purposes, while others investigated its impact on driving behavior. Machine learning analyses were prevalent, particularly in studies focusing on insurance outcomes. Acceleration, braking, and speed were the most frequently analyzed variables. Future research should include demographic information to understand how in-vehicle telematics influences driving behaviors across different demographic groups. Additionally, employing multi-level models would better capture the hierarchical nature of telematics data, which includes individual trip data for each driver.

Keywords: Advanced transport engineering, in-vehicle telematics, driving habits monitoring, road traffic fatalities, driving behavior analysis

[This article belongs to Trends in Transport Engineering and Applications ]

How to cite this article:
Shahin Mirbakhsh. Advanced Transport Engineering Techniques for Monitoring Driving Habits Through In-vehicle Telematics Systems. Trends in Transport Engineering and Applications. 2024; 11(03):33-42.
How to cite this URL:
Shahin Mirbakhsh. Advanced Transport Engineering Techniques for Monitoring Driving Habits Through In-vehicle Telematics Systems. Trends in Transport Engineering and Applications. 2024; 11(03):33-42. Available from: https://journals.stmjournals.com/ttea/article=2024/view=196989


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Regular Issue Subscription Original Research
Volume 11
Issue 03
Received 05/09/2024
Accepted 12/09/2024
Published 16/09/2024
Retracted 13/05/2025
Publication Time 11 Days
Total Visits: 100


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