Design and Development of A Microcontroller-Based Driving Behavior Monitoring Device as A Form of Mass Transportation Oversight

Authors

  • Riz Rifai Oktavianus Sasue Politeknik Transportasi Darat Bali
  • Adrian Pradana Politeknik Transportasi Darat Bali
  • Surya Aji Ermanto Politeknik Transportasi Darat Bali

DOI:

https://doi.org/10.52920/jttl.v5i2.359

Keywords:

bus, driving behavior monitoring, transportation monitoring

Abstract

In this study, the design and development of a microcontroller-based driving behavior monitoring device has been carried out using a research and development method. The output is a prototype that functions as a data logger, capable of recording the activities and driving behaviors of mass transportation drivers utilizing an electronic system with sensor devices, a Global Positioning System (GPS), and a controller to monitor braking activities, speed, maneuvering forces in curves, and to provide signal indications through a mini display, buzzer, and indicator lights when certain standards are exceeded. This research demonstrates that the device is capable of displaying and storing values for speed (velocity), g-force acceleration, braking, and maneuvering in curves under various conditions, including straight roads, inclines/declines, and curves, with high accuracy ranging from 95.99% to 97.62%.

References

Sullman. M. J.. Stephens. A.. & Taylor. J. E. (2019). Dimensions of aberrant driving behaviour and their relation to crash involvement for drivers in New Zealand. Transportation Research Part F Traffic Psychology and Behaviour 66 . 111-121.

Silvano. A. P.. & Ohlin. M. (2019). Non-collision incidents on buses due to acceleration and braking manoeuvres leading to falling events among standing passengers. Journal of Transport & Health.

Elbanhawi. M.. Simic. M.. & Jazar. R. (2015). In the Passenger Seat: Investigating Ride Comfort Measures in Autonomous Cars. IEEE Intell. Transp. Syst. Mag. 4–17.

Turner. M.. & Gri?n. M. (1999). Motion sickness in public road transport: The e?ect of driver. route and vehicle. Ergonomics . 1646–1664.

Martin. D.. & Litwhiler. D. (2008). An Investigation of acceleration and jerk pro?les of public transportation vehicles. ASEE Annual Conference and Exposition. Pittsburgh.

Bosetti. P.. Da Lio. M.. & Saroldi. A. (2014). On the human control of vehicles: An experimental study of acceleration. Eur. Transp. Res. Rev.

Bae. I.. Moon. J.. & Seo. J. (2019). Toward a Comfortable Driving Experience for a Self-Driving Shuttle Bus. Electronics.

Enge. P. K. (1994). The Global Positioning System: Signals. Measurements. and Performance. lternational Journal of Wireless Information Networks. 83-105.

Kaplan. E. D.. & Hegarty. C. J. (2006). Understanding GPS Principles and Applications. Second Edition. London: Artech House.inc.

French. G. T. (1996). Understanding The GPS : An Introduction To The Global Positioning System. What it is. And How It Works. Maryland (MD. US): GeoResearch.inc.

Agnihotri. N. (n.d.). GPS : Working . Applications and History. Retrieved february 2023. from Engineers Garage: https://www.engineersgarage.com/gps-working-applications-and-history/

Beitian Co., Limited. (2015). BN-220 GPS Module + Antenna DataSheet.

Kirushanth, S., & Kabaso, B. (2020). Design and Development of Weigh-In-Motion Using Vehicular Telematics. Hindawi Journal of Sensors, 2020.

Casilari, E., Álvarez-Marco, M., & García-Lagos, F. (2020). A Study of the Use of Gyroscope Measurements in Wearable Fall Detection Systems. Symmetry Journal, 12(4).

Dadafshar. M. (2014). Application Note 5830: Accelerometer And Gyroscopes Sensors: Operation. Sensing. And Applications. Maxim Integrated Products. Inc.

Cameron, Neil. (2019). SD Card Module: Comprehensive Projects for Everyday Electronics. 10.1007/978-1-4842-3960-5_12.

Ibrahim, D. (2010). SD Card Projects Using the PIC Microcontroller. Elsevier Ltd.

Arduino.cc. (2024). Arduino® Mega 2560 Rev3 : Product Reference Manual SKU: A000067.

Purwowibowo, Wijonarko, S., & Maftukhah, T. (2019). GPS Logger Development Using an Atmega 2560 Microcontroller. Instrumentasi, 3(2).

Weitz, M., Morseth, B., Hopstock, L. A., & Horsch, A. (2024). Influence of Accelerometer Calibration on the Estimation of Objectively Measured Physical Activity: The Tromsø Study. Journal for the Measurement of Physical Behaviour, 7(1).

Downloads

Published

2024-12-30

How to Cite

Sasue, R. R. O. ., Pradana, A. ., & Ermanto, S. A. . (2024). Design and Development of A Microcontroller-Based Driving Behavior Monitoring Device as A Form of Mass Transportation Oversight. Jurnal Teknologi Transportasi Dan Logistik, 5(2), 203-212. https://doi.org/10.52920/jttl.v5i2.359

Most read articles by the same author(s)

1 2 > >>