TINJAUAN LITERATUR TENTANG KECERDASAN BUATAN SEBAGAI PENDEKATAN DALAM PENGENDALIAN SISTEM LALU LINTAS

  • Jouvan Chandra Putra Pratama Departemen Teknik Sipil, Universitas Bakrie
  • Safrilah Departemen Teknik Sipil, Universitas Bakrie
DOI: https://doi.org/10.35814/infrastruktur.v7i1.2154
Abstract views: 1024 | pdf downloads: 1212
Keywords: Artificial Intelligence, Fuzzy Logic, Neural Network, Q-learning

Abstract

In an effort to provide solutions to traffic problems in urban areas, several methods such as fuzzy logic, Q-learning, neural networks, internet of things, and genetic algorithms are widely applied in answering this. In addition, these approaches emphasize the optimization function which will produce a traffic signal control design that can optimize the number of vehicles in a system which has implications for reducing waiting times and the volume of the number of vehicles in waiting conditions. The next impact of this is the possibility of achieving a reduction in the level of noise and pollution caused by motorized vehicles. Based on these things, a number of the methods mentioned earlier can be categorized as an approach in preparing a design or design oriented towards the built environment and in line with the goals of sustainable development. This study is an approach to review the mechanisms that can be developed by artificial intelligence in the traffic system so that it can adapt in real time towards the conditions around it.

References

Acharya, Swagatika, Kshitish K. Dash, and Rajeswari Chaini. (2019). “Fuzzy Logic: An Advanced Approach to Traffic Control.” In International Conference on Robotics and Its Industrial Applications, 176–86. Springer. https://doi.org/10.1007/978-3-030-30271-9_17.

AlNaser, Nada B., and Yaser E. Hawas. (2019). “A Traffic Signal Controller for an Isolated Intersection Using Fuzzy Logic Model.” In VEHITS 2019 - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 396–403. https://doi.org/10.5220/0007709603960403.

Araghi, Sahar, Abbas Khosravi, and Douglas Creighton. (2014). “Expert Systems with Applications A Review on Machine Learning Methods for Controlling Traffic Signal Timing.” EXPERT SYSTEMS WITH APPLICATIONS, no. September. https://doi.org/10.1016/j.eswa.2014.09.003.

Baglietto, Marco, Thomas Parisini, and Riccardo Zoppoli. (2001). “Distributed-Information Neural Control: The Case of Dynamic Routing in Traffic Networks.” IEEE Transactions on Neural Networks 12 (3): 485–502. https://doi.org/10.1109/72.925553.

Castro, Guilherme B, André R Hirakawa, and José S C Martini. (2017). “Adaptive Traffic Signal Control Based on Bio-Neural Network.” Procedia Computer Science 109 (2016): 1182–87. https://doi.org/10.1016/j.procs.2017.05.394.

Chedjou, J C, and K Kyamakya. (2012). Cellular Neural Networks Based Local Traffic Signals Control at a Junction / Intersection. IFAC Proceedings Volumes. Vol. 45. IFAC. https://doi.org/10.3182/20120403-3-DE-3010.00059.

Genders, Wade, and Saiedeh Razavi. (2019). “Asynchronous n -Step Q-Learning Adaptive Traffic Signal Control.” Journal of Intelligent Transportation Systems 0 (0): 13. https://doi.org/10.1080/15472450.2018.1491003.

Kuppusamy, P., P. Kamarajapandian, M. S. Sabari, and J. Nithya. (2018). Design of Smart Traffic Signal System Using Internet of Things and Genetic Algorithm. Advances in Intelligent Systems and Computing. Vol. 645. Springer Singapore. https://doi.org/10.1007/978-981-10-7200-0_36.

Liu, Ms Ying, Lei Liu, and Wei-peng Chen. (2017). “Intelligent Traffic Light Control Using Distributed Multi-Agent Q Learning.” In IEEE 20th International Conference on Intelligent Transportation Systems.

Maleki, M J Shirvani Shiri H R. (2016). “Maximum Green Time Settings for Traffic-Actuated Signal Control at Isolated Intersections Using Fuzzy Logic.” International Journal of Fuzzy Systems. https://doi.org/10.1007/s40815-016-0143-7.

Mohanaselvi, S, and B Shanpriya. (2019). “Application of Fuzzy Logic to Control Traffic Signals.” In AIP Conference Proceedings. Vol. 020045.

Motawej, Fadi, Rachid Bouyekhf, and Abdellah E L Moudni. (2011). A Note on Artificial Intelligence Techniques and Dissipativity-Based Approach in Traffic Signal Control For an Over-Saturated Intersection. IFAC Proceedings Volumes. Vol. 44. IFAC. https://doi.org/10.3182/20110828-6-IT-1002.01901.

Richard S. Sutton and Andrew G, Barto. (2014). An Introduction to Reinforcement Learning. The MIT Press Cambridge, Massachusetts London, England. https://doi.org/10.4018/978-1-60960-165-2.ch004.

Slimani, Ilham, Ilhame El Farissi, and Said Achchab. (2017). “Configuration and Implementation of a Daily Artificial Neural Network-Based Forecasting System Using Real Supermarket Data.” International Journal of Logistics Systems and Management 28 (2): 144–63. https://doi.org/10.1504/IJLSM.2017.086345.

Slimani, Nadia, Ilham Slimani, Nawal Sbiti, and Mustapha Amghar. (2019). “Traffic Forecasting in Morocco Using Artificial Neural Networks.” Procedia Computer Science 151 (2018): 471–76. https://doi.org/10.1016/j.procs.2019.04.064.

Srinivasan, Dipti, Min Chee Choy, and Ruey Long Cheu. (2006). “Neural Networks for Real-Time Traffic Signal Control.” IEEE Transactions on Intelligent Transportation Systems 7 (3): 261–72. https://doi.org/10.1109/TITS.2006.874716.

Tahilyani, Shailendra, Manuj Darbari, and Praveen Kumar. (2013). “Soft Computing Approaches in Traffic Control Systems : A Review.” AASRI Procedia 4: 206–11. https://doi.org/10.1016/j.aasri.2013.10.032.

Tamimi, Abdelfatah, Maha Abunaser, Ayat Atawalbeh, and Kholoud Saleh. (2019). “Intelligent Traffic Light Based on Genetic Algorithm.” 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Proceedings, 851–54. https://doi.org/10.1109/JEEIT.2019.8717401.

Zeng, Jinghong, Jianming Hu, Ieee Member, Yi Zhang, and Ieee Member. (2018). “Adaptive Traffic Signal Control with Deep Recurrent Q-Learning.” 2018 IEEE Intelligent Vehicles Symposium (IV), no. Iv: 1215–20.

Published
2021-04-26
How to Cite
Chandra Putra Pratama, J., & Safrilah. (2021). TINJAUAN LITERATUR TENTANG KECERDASAN BUATAN SEBAGAI PENDEKATAN DALAM PENGENDALIAN SISTEM LALU LINTAS . Jurnal Infrastruktur , 7(1), 61 - 69. https://doi.org/10.35814/infrastruktur.v7i1.2154