Intelligent Traffic System for Ambulance Using Fuzzy Control System

Authors

Keywords:

Fuzzy Control System, RFID, Emergency Vehicle, Sensor Infrared, Traffic Light Control

Abstract

Congestion is a seemingly endless problem as vehicle increase is not followed by road width increase. One of the serious problems caused by congestion is ambulance delays in taking patients to the hospital, potentially causing dead on arrival. Therefore, an automatic traffic control system is needed to minimize the dead on arrival rate by prioritizing emergency vehicles, preventing them from being stuck in the traffic light congestion, and helping them to transport the patients faster to receive medical care. The present study designs an intelligent traffic light control system for ambulances using Fuzzy Control System. This traffic light control system was designed for a four-legged intersection using RFID to detect the ambulance load and an infrared sensor to detect the road condition based on the number of vehicles at the intersection. Values from RFID and infrared sensor are used as Fuzzy control system input to obtain the priority value of each lane. The priority value is then transmitted to ESP 32 server to turn the light green on the lane to be passed by the ambulance. If there is one line that has a priority value of 11 and line three has a priority value of 85, then the system will turn green on lane three. So it can be said that overall system performance is 100% optimally successful. This study proves that the fuzzy control system is the right method for determining priorities when a collision occurs between emergency vehicles.

Downloads

Download data is not yet available.

References

A. Khoirul, “128166-ID-faktor-faktor-yang-mempengaruhi-pertumbu,” Fakt. Fakt. Yang Mempengaruhi Pertumbuhan Kendaraan Bermotor Roda Du, vol. 4, pp. 1106–1120, 2017.

A. N. A. Yusuf, A. S. Arifin, and F. Y. Zulkifli, “Recent development of smart traffic lights,” IAES Int. J. Artif. Intell., vol. 10, no. 1, pp. 224–233, 2021, doi: 10.11591/ijai.v10.i1.pp224-233.

M. Maslim, B. Y. Dwiandiyanta, and N. Viany Susilo, “Implementasi Metode Logika Fuzzy dalam Pembangunan Sistem Optimalisasi Lampu Lalu Lintas,” J. Buana Inform., vol. 9, no. 1, pp. 11–20, 2018, doi: 10.24002/jbi.v9i1.1661.

R. P. Prasetya, “Implementasi Fuzzy Mamdani Pada Lampu Lalu Lintas Secara Adaptif Untuk Meminimalkan Waktu Tunggu Pengguna Jalan,” J. Mnemon., vol. 3, no. 1, pp. 24–29, 2020, doi: 10.36040/mnemonic.v3i1.2526.

O. Avatefipour and F. Sadry, “Traffic Management System Using IoT Technology - A Comparative Review,” IEEE Int. Conf. Electro Inf. Technol., vol. 2018-May, pp. 1041–1047, 2018, doi: 10.1109/EIT.2018.8500246.

Dewan Perwakilan Rakyat, “UNDANG-UNDANG REPUBLIK INDONESIA NOMOR 22 TAHUN 2009 TENTANG LALU LINTAS DAN ANGKUTAN JALAN,” Jakarta, 2009. [Online]. Available: ???

Skm. K.Priyadharshini, “Automatic Traffic Control System Based on the Vehicular Density,” Int. Res. J. Eng. Technol., vol. 06, no. 04, pp. 1–3, 2019.

S. Mohanaselvi and B. Shanpriya, “Application of fuzzy logic to control traffic signals,” AIP Conf. Proc., vol. 2112, no. June, 2019, doi: 10.1063/1.5112230.

J. ALAM, M. K. PANDEY, and H. AHMED, “Intellegent Traffic Light Control System for Isolated Intersection Using Fuzzy Logic,” Conf. Adv. Commun. Control Syst. 2013, vol. 2013, no. July 2015, pp. 209–215, 2013.

D. Karyaningsih and R. Rizky, “Implementation of Fuzzy Mamdani Method for Traffic Lights Smart City in Rangkasbitung, Lebak Regency, Banten Province (Case Study of the Traffic Light T-junction, Cibadak, By Pas Sukarno Hatta Street),” J. KomtekInfo, vol. 7, no. 3, pp. 176–185, 2020, doi: 10.35134/komtekinfo.v7i3.78.

A. Chabchoub, A. Hamouda, S. Al-Ahmadi, and A. Cherif, “Intelligent Traffic Light Controller using Fuzzy Logic and Image Processing,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 4, pp. 396–399, 2021, doi: 10.14569/IJACSA.2021.0120450.

M. Shelke, A. Malhotra, and P. N. Mahalle, “Fuzzy priority based intelligent traffic congestion control and emergency vehicle management using congestion-aware routing algorithm,” J. Ambient Intell. Humaniz. Comput., no. 0123456789, 2019, doi: 10.1007/s12652-019-01523-8.

R. Jimenez-Moreno, J. E. M. Baquero, and L. A. R. Umana, “Ambulance detection for smart traffic light applications with fuzzy controller,” Int. J. Electr. Comput. Eng., vol. 12, no. 5, pp. 4876–4882, 2022, doi: 10.11591/ijece.v12i5.pp4876-4882.

S. Antonov, “Smart traffic control system for ambulance,” no. March, pp. 457–460, 2017.

Kumar P, Priya L, and A. Sathya, “Smart Traffic Light System for Emergency Ambulance Using IoT,” vol. 25, no. 3, pp. 8655–8662, 2021, [Online]. Available: http://annalsofrscb.ro

P. Devi and S. Anila, “Intelligent Ambulance with Automatic Traffic Control,” 2020 Int. Conf. Comput. Inf. Technol. ICCIT 2020, pp. 374–377, 2020, doi: 10.1109/ICCIT-144147971.2020.9213796.

S. Parekh, N. Dhami, S. Patel, and J. Undavia, “Traffic signal automation through iot by sensing and detecting traffic intensity through ir sensors,” Smart Innov. Syst. Technol., vol. 106, pp. 53–65, 2019, doi: 10.1007/978-981-13-1742-2_6.

B. Ghazal, K. Elkhatib, K. Chahine, and M. Kherfan, “Smart traffic light control system,” 2016 3rd Int. Conf. Electr. Electron. Comput. Eng. their Appl. EECEA 2016, pp. 140–145, 2016, doi: 10.1109/EECEA.2016.7470780.

M. I. Mahali, B. Wulandari, E. Marpanaji, U. Rochayati, S. A. Dewanto, and N. Hasanah, “Smart traffic light based on IoT and mBaaS using high priority vehicles method,” Int. Conf. Electr. Eng. Comput. Sci. Informatics, vol. 2018-Octob, no. 22, pp. 703–707, 2018, doi: 10.1109/EECSI.2018.8752694.

K. K. Tan, M. Khalid, and R. Yusof, “Intelligent traffic lights control by fuzzy logic,” Malaysian J. Comput. Sci., vol. 9, no. 2, pp. 29–35, 1996.

System Design Prototype

Downloads

Published

16.12.2022

How to Cite

Nur Iksan, Eva Faza Sabela, Subiyanto, & Muhammad Harlanu. (2022). Intelligent Traffic System for Ambulance Using Fuzzy Control System. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 545–554. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2322

Issue

Vol. 10 No. 4 (2022)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.