Respon Pengendara Akibat Distraksi Melalui Perancangan Game Driving Simulator Berbasis VR
Sari
ABSTRAK
Ketika seseorang mengalami distraksi, maka proses penerimaan informasi akan terganggu. Faktor yang mempengaruhi proses berkendara yaitu faktor internal (kemampuan berkendara) dan faktor eksternal (kondisi lalu lintas). Pada penelitian ini dilakukan perancangan dan realisasi Game Driving Simulator untuk mengetahui respon pengendara akibat distraksi. Perancangan dilakukan menggunakan perangkat lunak Unity dan dengan menggunakan Virtual Reality (VR). Tahap perancangan dimulai dari melakukan import asset, perancangan environment, mobil player, MobilBot, UI, program level dan pengambilan data. Analisa dilakukan setelah pengambilan data dengan menggunakan Analysis of Variance (ANOVA). Hasil analisa ANOVA menunjukkan bahwa distraksi berpengaruh terhadap responden, namun responden akan terbiasa jika sering melewati distraksi yang sama. Perbedaan level berpengaruh pada tiap responden.
Kata kunci: Kognitif, Virtual Reality, Unity, ANOVA, Distraksi, Berkendara, Simulator
ABSTRACT
When a person experiences distraction, the process of receiving information will be disrupted. Factors that influence the driving process are internal factors (driving ability) and external factors (traffic conditions). In this research, the design and realization of the Driving Simulator Game was carried out to determine the driver’s response due to distraction. The design is done using Unity software and by using Virtual Reality (VR). The design stage starts from importing assets. Designing the environment, player car, bot car, UI, program level, and data retrieval. The analysis was carried out after data collection using Analysis of Variance (ANOVA). ANOVA is used to determine the driver’s response due to distraction in the Driving Simulator Game. The results of the ANOVA analysis show that distraction affects the respondents, but respondents will get used to it if they often pass through distractions. Different levels affect each respondent.
Keywords: Cognitive, Virtual Reality, Unity, ANOVA, Distraction, Driving, Simulator
Teks Lengkap:
PDFReferensi
Brawijaya, J. T. I. U. (2017). Simulation and Promodel Software.
Calvi, A., Benedetto, A., & D’Amico, F. (2018). Investigating driver reaction time and speed during mobile phone conversations with a lead vehicle in front: A driving simulator comprehensive study. Journal of Transportation Safety and Security, 10(1–2), 5–24. https://doi.org/10.1080/19439962.2017.1310161
Cao, C., Wang, J., & Luo, Y. (2015). Driving simulator validation for research on driving behavior at entrance of urban underground road. ICTIS 2015 - 3rd International Conference on Transportation Information and Safety, Proceedings, 147–150. https://doi.org/10.1109/ICTIS.2015.7232083
Herawati, H. (2019). Karakteristik Dan Penyebab Kecelakaan Lalu Lintas Di Indonesia Tahun 2012. Warta Penelitian Perhubungan, 26(3), 133. https://doi.org/10.25104/warlit.v26i3.875
Hidayati, S. N., Arif, M., Virdaus, V. V., & Arumsari, A. D. (2020). Simulasi Berkendara Lalu Lintas dengan Media Barang Bekas untuk Meningkatkan Disiplin Sejak Usia Dini di TK Qilpi Al Jihad Surabaya. Journal Politeknik Negeri Bengkalis, 5(3), 248–253.
Hsu, C. C., Chen, Y. L., Chou, W. C., Huang, S. H., & Chang, K. K. (2019). Motorcycle riding safety education with virtual reality. Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018, 216–218. https://doi.org/10.1109/AIVR.2018.00050
ISAR, C. (2018). A Glance into Virtual Reality Development Using Unity. Informatica Economica, 22(3/2018), 14–22. https://doi.org/10.12948/issn14531305/22.3.2018.02
Kamus Besar Bahasa Indonesia. (2022). https://kbbi.web.id/simulasi
Khan, R. (2020). Human Distraction Detection from Real Time Video Data using Artificial Intelligence and Deep Learning Techniques.
Kolarik, T., Maly, I., & Mikovec, Z. (2019). Suppressing external visual distractors from driver’s field of view. 9th IEEE International Conference on Cognitive
Infocommunications, CogInfoCom 2018 - Proceedings, CogInfoCom, 93–98. https://doi.org/10.1109/CogInfoCom.2018.8639951
Luo, Q., Chen, X., Yuan, J., Zang, X., Yang, J., & Chen, J. (2020). Study and Simulation Analysis of Vehicle Rear-End Collision Model considering Driver Types. Journal of Advanced Transportation, 2020. https://doi.org/10.1155/2020/7878656
Rauterberg, M. (1995). Human information processing in man-machine interaction. WWDU’94: Work with Display Units, 2, 221–226. citeulike-article-id:8697764
Setiawan, I., Muhammad, E., Jonemaro, A., & Wardhono, W. S. (2019). Implementasi Fitur-Fitur Interaksi Pengguna Pada Permainan Simulasi Ujian Berkendara 3D. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya, 3(1), 59–67.
Tsai, P. S., Wu, T. F., Hu, N. T., Tang, J. H., & Chen, J. Y. (2018). Virtual reality to implement driving simulation for combining CAN BUS and automotive sensors. Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017, 40–42. https://doi.org/10.1109/ICICE.2017.8479271
Weidner, F., Hoesch, A., Poeschl, S., & Broll, W. (2017). Comparing VR and non-VR driving simulations: An experimental user study. Proceedings - IEEE Virtual Reality, 281–282. https://doi.org/10.1109/VR.2017.7892286
Widyaiswara, B. (2020). Bahan Ajar ( Materi Pelengkap Modul ) Statistik Deskriptif. Statistik Inferensia.
Wimaladharma, S. T. C. I., Sampath, A. G. A., Sampath, J. D. B., & Sapumohotti, C. H. V. (2019). A game-based driving learning system for sri lankan driving learners to enrich the awareness of road rules. 2019 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2019, 195–199. https://doi.org/10.1109/HPBDIS.2019.8735443
DOI: https://doi.org/10.26760/mindjournal.v8i1.77-91
Refbacks
- Saat ini tidak ada refbacks.
____________________________________________________________
ISSN (cetak) : 2338-8323 | ISSN (elektronik) : 2528-0902
diterbitkan oleh:
Informatika Institut Teknologi Nasional Bandung
Alamat : Gedung 2 Jl. PHH. Mustofa 23 Bandung 40124
Kontak : Tel. 7272215 (ext. 181)Â Fax. 7202892
Email : mind.journal@itenas.ac.id
____________________________________________________________
Statistik Pengunjung :
Jurnal ini terlisensi oleh Creative Commons Attribution-ShareAlike 4.0 International License.