Kajian Autonomous Car Untuk Mengatasi Kemacetan Dan Kecelakaan Lalu Lintas Di Jakarta
Abstract
Seiring dengan bertambahnya jumlah mobil yang ada dan mengingat banyaknya angka kecelakaan yang terjadi di Indonesia, maka tentu tidaklah mudah untuk menguranginya, karena kecelekaan yang terjadi memiliki beberapa faktor, yang diantaranya ada kelalaian pengemudi atas ketertiban lalu lintas, kendaraan yang bermasalah, ataupun faktor-faktor lainnya. Dengan angka kecelakaan sebesar itu, maka seharusnya sudah ada upaya untuk menguranginya, salah satu contohnya adalah Autonomous Car.(Fachrurazi,2020). Autonomous car merupakan salah satu dari Autonomous Agent yang merupakan system yang terletak di dalam dan bagian dari lingkungan yang merasakan lingkungan itu dan bertindak di atasnya, dari waktu ke waktu, dalam kegiatan sendiri sehingga dapat mempengaruhi apa yang dia rasakan berikutnya (Franklin & Graesser, 1996). Haar-Cascade Classifier atau yang sering disebut juga dengan Haar-Like Feature sangat umum digunakan untuk pendeteksian wajah atau yang dikenal sebagai face detection. Metodologi penelitian yang digunakan dalam penelitian ini adalah studi literatur atau penelitian kepustakaan yang berisi teori-teori yang relevan dengan masalah penelitian. Peran pemerintah sangat dibutuhkan dalam mewujudkan penggunaan autonomous car ini seperti adanya perubahan peraturan Undang-Undang terkait lalu lintas. Penerapan algoritma AI dapat digunakan untuk menyesuaikan kondisi lalu lintas dan cuaca, serta mengoptimalkan jadwal transportasi. Hal ini akan meningkatkan efisiensi dari sistem transportasi dan membantu dalam mengurangi dampak lingkungan. Namun, perlu diingat bahwa penerapan AI dalam sistem transportasi juga harus dilakukan dengan bijak dan memperhatikan aspek-aspek keamanan dan privasi
Kata kunci: Autonomous car, artifial intelligence, Haar-Cascade Classifier, face detection, , algoritma
References
Alagumuthukrishnan, S., Deepajothi, S., Vani, R., & Velliangiri, S. (2023). Reliable and Efficient Lane Changing Behaviour for Connected Autonomous Vehicle through Deep Reinforcement Learning. Procedia Computer Science, 218, 1112–1121. https://doi.org/10.1016/j.procs.2023.01.090
Chen, Z., Feng, X., & Zhang, S. (2022). Emotion detection and face recognition of drivers in autonomous vehicles in IoT platform. Image and Vision Computing, 128. https://doi.org/10.1016/j.imavis.2022.104569
Desfilova, Selfana, Prodi Manajemen Universitas Pembangunan Jaya, 14 Januari 2023, Penerapan AI (Artificial Intelligence) dalam Sistem Transportasi Masa Depan, Indonesiana. Id, diakses tanggal 26 mei 2023
Fachrurazi, Muhammad, 2020, Prototipe Autonomous Car Menggunakan HAAR Cascade Classifier Berbasis Raspberry PI, Yogyakarta
Gokasar, I., Pamucar, D., Deveci, M., Gupta, B. B., Martinez, L., & Castillo, O. (2023). Metaverse integration alternatives of connected autonomous vehicles with self-powered sensors using fuzzy decision making model. Information Sciences, 642. https://doi.org/10.1016/j.ins.2023.119192
Gokasar, I., Simic, V., Deveci, M., & Senapati, T. (2023). Alternative prioritization of freeway incident management using autonomous vehicles in mixed traffic using a type-2 neutrosophic number based decision support system. Engineering Applications of Artificial Intelligence, 123. https://doi.org/10.1016/j.engappai.2023.106183
Octavian, Rizki, 30 April 2022, Implementasi Kecerdasan Buatan (AI) Bidang Transportasi, geotimes. Id. Diakses tanggal 26 mei 2023
Outay, F., Abbas-Turki, A., Galland, S., Lombard, A., & Gaud, N. (2022). Comparison of Reaction Time-based Collaborative Velocity Control and Intelligent Driver Model for Agent-based Simulation of Autonomous Car. Procedia Computer Science, 203, 189–196. https://doi.org/10.1016/j.procs.2022.07.026
Pandyaswargo, A. H., Maghfiroh, M. F. N., & Onoda, H. (2023). Global distribution and readiness status of artificial intelligence application on mobility projects. Energy Reports, 9, 720–727. https://doi.org/10.1016/j.egyr.2022.11.070
Potoglou, D., Whittle, C., Tsouros, I., & Whitmarsh, L. (2020). Consumer intentions for alternative fuelled and autonomous vehicles: A segmentation analysis across six countries. Transportation Research Part D: Transport and Environment, 79. https://doi.org/10.1016/j.trd.2020.102243
Richter, M. A., Hagenmaier, M., Bandte, O., Parida, V., & Wincent, J. (2022). Smart cities, urban mobility and autonomous vehicles: How different cities needs different sustainable investment strategies. Technological Forecasting and Social Change, 184. https://doi.org/10.1016/j.techfore.2022.121857
Sai Srinath, N. G. S., Joseph, A. Z., Umamaheswaran, S., Priyanka, C. L., Malavika Nair, M., & Sankaran, P. (2020). NITCAD - Developing an object detection, classification and stereo vision dataset for autonomous navigation in Indian roads. Procedia Computer Science, 171, 207–216. https://doi.org/10.1016/j.procs.2020.04.022
Shahedi, A., Dadashpour, I., & Rezaei, M. (2023). Barriers to the sustainable adoption of autonomous vehicles in developing countries: A multi-criteria decision-making approach. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e15975
Tan, H., Zhao, F., Liu, Z., & Song, H. (2023). Effects of nine typical technologies for primary autonomous vehicles on road safety in China. IScience, 26(3). https://doi.org/10.1016/j.isci.2023.106109
Afandi, A. (2021). MENTORING PROGRAM: Empowerment and Human Resources Development. AKADEMIK: Jurnal Mahasiswa Humanis, 1(3), 87-94.
Andreas, D. (2022). EMPLOYEE PERFORMANCE: The Effect Of Motivation And Job Satisfaction. PRODUKTIF: Jurnal Kepegawaian dan Organisasi, 1(1), 28-35.
Anggranei, F. N. (2020). Realitas Kompetensi Guru Pasca Sertifikasi. Scientific Journal of Reflection: Economic, Accounting, Management and Business, 3(4), 331-340.
Gunawan, I. (2022). CUSTOMER LOYALTY: The Effect Customer Satisfaction, Experiential Marketing and Product Quality. KINERJA: Jurnal Manajemen Organisasi dan Industri, 1(1), 35-50.
Indra, W. (2021). Detection of Gen C/EBPα Encodes the Meat Quality. AKADEMIK: Jurnal Mahasiswa Sain & Teknologi, 1(1), 24-32.
Iswardani, W. (2021). Hydroponic Vegetable Production Planning at Plantation Parung Farm Bogor. AKADEMIK: Jurnal Mahasiswa Sain & Teknologi, 1(1), 8-15.
Jayanti, L. (2022). Socialization Of Financial Literacy During The Covid-19 Pandemic In South Tanggerang MSME Gallery. Jurnal PKM Manajemen Bisnis, 2(1), 34-43.
Novitasari, A., & Yulizar, Y. (2023). Company Value Disclosure Based on Fundamental Analysis of Energy Companies in Indonesia. AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis, 3(2), 65-73.
Anggraini, F. N. (2022). PERFORMANCE: Self, Management, and Organizational Social Perspectives. PRODUKTIF: Jurnal Kepegawaian dan Organisasi, 1(1), 1-9.
Nurbaeti, S. (2022). Significance of the Influence of Leadership Model, Morale, and Satisfaction on Performance Consistency. PRODUKTIF: Jurnal Kepegawaian dan Organisasi, 1(1), 10-18.
Nuriadi, N. (2021). The Effectiveness Of Application Of Marketing Strategies In Private Higher Education. AKADEMIK: Jurnal Mahasiswa Humanis, 1(3), 104-113.
Nurlaila, P. (2022). PERFORMANCE MODEL: Satisfaction, Commitment and Reward Based. KINERJA: Jurnal Manajemen Organisasi dan Industri, 1(1), 19-26.
Pambudi, R. F., & Kustini, E. (2023). BUSINESS DIGITALIZATION TRAINING: Optimization of Digital Business Opportunities and Advantages. Jurnal PKM Manajemen Bisnis, 3(1), 14-22.
Rahman, A. (2023). Professional Work Model in Terms of Standard Operating Procedures, Intelligence, Rules and Ethics. AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis, 3(2), 74-85.
Sari, E. N. (2021). Concept Of Small And Medium Entrepreneurs In Customer Oriented Islam. AKADEMIK: Jurnal Mahasiswa Humanis, 1(3), 123-131.
Anggraeni, F. N. (2020). Survey Motivasi Kerja Driver Ojek Online Grab. Scientific Journal Of Reflection: Economic, Accounting, Management and Business, 3(3), 251-260.
Solahudin, M. (2022). PREDICTING THE INCREASE OF COMPANY VALUE BASED ON PROFIT AND DEBT GOVERNANCE POLICIES: A Case Study on Indonesian Automotive Companies. AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis, 2(3), 123-131.
Wulandari, D. (2022). Customer Satisfaction as a Priority in Excellent Banking Services. KINERJA: Jurnal Manajemen Organisasi dan Industri, 1(1), 27-34.
Thomas, A., & Trost, J. (2017). A Study on Implementing Autonomous Intra City Public Transport System in Developing Countries - India. Procedia Computer Science, 115, 375–382. https://doi.org/10.1016/j.procs.2017.09.093
Tsiktsiris, D., Vafeiadis, A., Lalas, A., Dasygenis, M., Votis, K., & Tzovaras, D. (2022). A Novel Image and Audio-based Artificial Intelligence Service for Security Applications in Autonomous Vehicles. Transportation Research Procedia, 62, 294–301. https://doi.org/10.1016/j.trpro.2022.02.037
Walambe, R., Patwardhan, N., & Joshi, V. (2020). Development of auto-parking and collision avoidance algorithms on car type autonomous mobile robots. IFAC-PapersOnLine, 53(1), 567–572. https://doi.org/10.1016/j.ifacol.2020.06.095
Yusuf, R. M., Muhammad, E., Jonemaro, A., & Arwani, I. (2018). Penerapan Autonomous Vehicle Behavior Pada Permainan Simulasi Ujian Berkendara 3D Menggunakan Metode Steering Behavior (Vol. 2, Issue 11). http://j-ptiik.ub.ac.id
Zavantis, D., Outay, F., El-Hansali, Y., Yasar, A., Shakshuki, E., & Malik, H. (2022). Autonomous Driving and Connected Mobility Modeling: Smart Dynamic Traffic Monitoring and Enforcement System for Connected and Autonomous Mobility. Procedia Computer Science, 203, 213–221. https://doi.org/10.1016/j.procs.2022.07.028
Downloads
Published
Issue
Section
License
Open Access
HUMANIS (Humanities, Management and Science Proceedings) is a national peer reviewed and open access journal that publishes significant and important research from all area of agroindustry.
This journal provides immediate open access to its content that making research publish in this journal freely available to the public that supports a greater exchange of knowledge.
Copyright
Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors. If and when the manuscript is accepted for publication, the author(s) still hold the copyright and retain publishing rights without restrictions. Authors or others are allowed to multiply article as long as not for commercial purposes. For the new invention, authors are suggested to manage its patent before published. The license type is CC-BY-SA 4.0.
Disclaimer
No responsibility is assumed by publisher and co-publishers, nor by the editors for any injury and/or damage to persons or property as a result of any actual or alleged libelous statements, infringement of intellectual property or privacy rights, or products liability, whether resulting from negligence or otherwise, or from any use or operation of any ideas, instructions, procedures, products or methods contained in the material therein.
