Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)

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Smart EV Navigation and Data Collection System for Tree Based Data Modeling Using IoT

Authors
Wirarama Wedashwara1, *, Heri Wijayanto1, Andy Hidayat Jatmika1, I Wayan Agus Arimbawa2
1Department of Informatics Engineering, University of Mataram, Mataram, Indonesia
2Department of Technology Management, Economic, and Policy, Seoul National University, Seoul, Republic of Korea
*Corresponding author. Email: wirarama@unram.ac.id
Corresponding Author
Wirarama Wedashwara
Available Online 26 December 2022.
DOI
10.2991/978-94-6463-084-8_13How to use a DOI?
Keywords
Internet of Things; Smart Electrical Vehicle; Genetic Programming
Abstract

Machine learning for autonomous can be done by recording the displacement and condition of the vehicle through manual control by humans and modeling the data. The research proposes designing a data collection system for tree-based data modeling on Internet of Things (IoT) based autonomous electrical vehicles (EV). The system consists of four ESP32 cameras with servos mounted on the left, right side of the car mirror, front (dashcam), and rear. The system is also equipped with an Arduino Nano connected to GPS, a gyroscope, and four proximity sensors. Arduino nano is connected via serial software to the Wemos D1 mini, which is connected to a relay module to control lights and wipers and is equipped with an LDR sensor. Data collected via the internet (wifi) will be formed in tree-based data modeling for future genetic programming machine learning algorithms. System evaluation includes Quality of Service (QoS) data communication, statistical data collected, and electrical IoT devices built. Based on testing using an intelligent car chassis in an environment still affordable by wifi, it produces an average delay of 0.02 s and a PDR of 99.87%. The highest correlation matrix archived as 0.872 for longitude, latitude, and gyro data in detecting vehicle turns. The electricity evaluation result consists of average power consumption of 0.344 W for the ESP32 camera, 0.663 W for the Arduino nano, and 0.291 W for the Wemos d1 mini. In the future, testing will be carried out using an actual EV on a real track and in data communication outside of wifi.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
Series
Advances in Computer Science Research
Publication Date
26 December 2022
ISBN
978-94-6463-084-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-084-8_13How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wirarama Wedashwara
AU  - Heri Wijayanto
AU  - Andy Hidayat Jatmika
AU  - I Wayan Agus Arimbawa
PY  - 2022
DA  - 2022/12/26
TI  - Smart EV Navigation and Data Collection System for Tree Based Data Modeling Using IoT
BT  - Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
PB  - Atlantis Press
SP  - 130
EP  - 141
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-084-8_13
DO  - 10.2991/978-94-6463-084-8_13
ID  - Wedashwara2022
ER  -