Smartphone-based extendable telematic data collection app

Thompson Iniakpokeikiye Peter; Ehud Reiter; Dewei Yi

doi:10.1016/j.simpa.2023.100601

Smartphone-based extendable telematic data collection app

Thompson Iniakpokeikiye Peter^*, Ehud Reiter, Dewei Yi

^*Corresponding author for this work

University of Aberdeen

Research output: Contribution to journal › Article › peer-review

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Abstract

There are three research objectives we set out to achieve in this work: to conceive and execute a dedicated smartphone-based driving data collection application that is carefully tailored for the acquisition of driving data from Nigerian drivers, add a layer that enables drivers to report external influences that affected each trip of their driving period, and to enhance its versatility by openly sharing the associated source code to facilitate adaptation for diverse driving data collection endeavours by researchers. This is very pertinent in the rapidly evolving landscape of transportation and road safety, where the need for comprehensive and accurate data on driving behaviours have become increasingly evident. Understanding how drivers behave on the road is essential for improving road safety, optimizing traffic management, and devising effective transportation policies. However, collecting real-world driving Behaviour data, especially in developing countries such as Nigeria, presents numerous challenges. Our innovative system not only efficiently collects invaluable driving data but also sets a new precedent for adaptability and collaboration within the research community.

Original language	English
Article number	100601
Number of pages	7
Journal	Software Impacts
Volume	19
Early online date	1 Dec 2023
DOIs	https://doi.org/10.1016/j.simpa.2023.100601
Publication status	Published - Mar 2024

Bibliographical note

Funding Information:
We extend our heartfelt gratitude to the individuals and organizations that made this research endeavour possible. First and foremost, we would like to acknowledge the voluntary efforts of the drivers at De-prize Motors and others at Etegwe Roundabout Motor Park, Yenagoa Bayelsa State Nigeria. We also extend our sincere appreciation to Mr. Kabiru Momodu, a key collaborator in this research project. His tireless efforts in mobilizing and coordinating drivers, as well as his commitment to the project's success, played a pivotal role in data collection and use of the software in a real world scenario. Furthermore, we would like to express our gratitude to the Tertiary Education Trust Fund (TetFund) for their generous sponsorship of this research. Their support made it possible to undertake the bigger PhD research project, focusing on the use of AI/NLG-enabled mobile apps for driving Behaviour change and the promotion of safe driving practices in Nigeria.

Keywords

Driving behaviour
Driving data
Road safety
Smart phone applications

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10.1016/j.simpa.2023.100601Licence: CC BY

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This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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Cite this

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abstract = "There are three research objectives we set out to achieve in this work: to conceive and execute a dedicated smartphone-based driving data collection application that is carefully tailored for the acquisition of driving data from Nigerian drivers, add a layer that enables drivers to report external influences that affected each trip of their driving period, and to enhance its versatility by openly sharing the associated source code to facilitate adaptation for diverse driving data collection endeavours by researchers. This is very pertinent in the rapidly evolving landscape of transportation and road safety, where the need for comprehensive and accurate data on driving behaviours have become increasingly evident. Understanding how drivers behave on the road is essential for improving road safety, optimizing traffic management, and devising effective transportation policies. However, collecting real-world driving Behaviour data, especially in developing countries such as Nigeria, presents numerous challenges. Our innovative system not only efficiently collects invaluable driving data but also sets a new precedent for adaptability and collaboration within the research community.",

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Smartphone-based extendable telematic data collection app

Abstract

Bibliographical note

Keywords

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