Traffic Light Control Prototype Using PIR Motion and Microcontroller-Based Ultrasonic Sensors

Gusairi Rahman, Nina Paramytha, Muhamad Ariandi

Abstract


Traffic lights at crossroads help regulate the flow of vehicles so they can run smoothly and avoid congestion. One of the causes of traffic congestion is a traffic control light system that is not optimal because it still uses a fixed timer system, so the lights' duration is less efficient in its application. When the green light is on, the streets are deserted. But there is a traffic jam on another road. Therefore the concept of traffic light timing needs to be developed to get efficient timing. This study aims to create a traffic light control system that uses a PIR (Passive Infrared) motion sensor and an ultrasonic sensor based on the Arduino Mega2560 microcontroller based on the congestion level. The method used in this traffic control prototype is an experimental method of reading vehicle objects mounted with PIR sensors and ultrasonic sensors. This system can detect the movement of vehicles approaching a traffic light, measure the distance between the car and the traffic light, and set the timing of the light signal according to the level of congestion detected. This system has been tested using vehicle movement simulations brought closer to the PIR and ultrasonic sensors at different distances. The test results show the system can work properly and produce the light signal according to the detected traffic conditions. For its application to traffic lights in the future, it is feasible to help the traffic unit.


Full Text:

PDF

References


T. Y. Li, "A supporting system for quick dementia screening using PIR motion sensor in smart home," 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, vol. 2017. pp. 1369–1374, 2017. doi: 10.1109/SMC.2017.8122804.

R. Ismail, "Obstacle-avoiding robot with IR and PIR motion sensors," IOP Conference Series: Materials Science and Engineering, vol. 152, no. 1. 2016. doi: 10.1088/1757-899X/152/1/012064.

S. A. Akinwumi, "Arduino Based Security System using Passive Infrared (PIR) Motion Sensor," IOP Conference Series: Earth and Environmental Science, vol. 655, no. 1. 2021. doi: 10.1088/1755-1315/655/1/012039.

M. Oljaca, "Enable machine learning with an advanced motion detector using PIR sensors," ECN Electron. Compon. News, vol. 61, no. 3, pp. 14–16, 2017, [Online]. Available: https://api.elsevier.com/content/abstract/scopus_id/85019193274

G. Feng, "Genetic algorithm based optimal placement of PIR sensors for human motion localization," Optim. Eng., vol. 15, no. 3, pp. 643–656, 2014, doi: 10.1007/s11081-012-9209-z.

E. Hunko, "Investigation and Development of Traffic Light Control System Prototype for Serious Game," 2020 IEEE European Technology and Engineering Management Summit, E-TEMS 2020. 2020. doi: 10.1109/E-TEMS46250.2020.9111763.

F. P. Kuzu, “Turna motion in Pir sultan Abdal,” Turk Kult. ve Haci Bektas Veli - Arastirma Derg., no. 88, pp. 111–122, 2018, doi: 10.31624/tkhbvd.2018.25.

A. Mohanty, "A Prototype of Density-Based Intelligent Traffic Light Control System Using Image Processing Technique and Arduino Microcontroller in Lab VIEW Environment," Lecture Notes in Electrical Engineering, vol. 665. pp. 749–763, 2020. doi: 10.1007/978-981-15-5262-5_56.

Z. Yu, "Spatio-temporal constrained human trajectory generation from the PIR motion detector sensor network data: A geometric algebra approach," Sensors (Switzerland), vol. 16, no. 1, 2016, doi: 10.3390/s16010043.

K. Srividhyasaradha, "RFID and PIR motion sensor based automated attendance system for educational institutions," Int. J. Recent Technol. Eng., vol. 8, no. 2, pp. 1275–1279, 2019, doi: 10.35940/ijrte.B1052.0882S819.

M. Verma, "Sensitivity enhancement of Passive Infrared (PIR) sensor for motion detection," Optik (Stuttg)., vol. 244, 2021, doi: 10.1016/j.ijleo.2021.167503.

J. Andrews, "A Motion Induced Passive Infrared (PIR) Sensor for Stationary Human Occupancy Detection," 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020. pp. 1295–1304, 2020. doi: 10.1109/PLANS46316.2020.9109909.

R. Raphael, "Human detecting and location mapping robot using PIR sensor and velocity motion model," Int. J. Appl. Eng. Res., vol. 10, no. 10, pp. 26115–26126, 2015, [Online]. Available: https://api.elsevier.com/content/abstract/scopus_id/84932081914

H. Sukmana, "Prototype utilization of PIR motion sensor for real time surveillance system and web-enabled lamp automation," APWiMob 2015 - IEEE Asia Pacific Conference on Wireless and Mobile. pp. 183–187, 2016. doi: 10.1109/APWiMob.2015.7374968.

J. Cunha, "Traffic lights control prototype using wireless technologies," Renew. Energy Power Qual. J., vol. 1, no. 14, pp. 1031–1036, 2016, doi: 10.24084/repqj14.562.

S. Damodaran, "PIR sensor based motion detection using fuzzy controller," Int. J. Recent Technol. Eng., vol. 8, no. 1, pp. 232–235, 2019, [Online]. Available: https://api.elsevier.com/content/abstract/scopus_id/85068453631

B. Alathari, "A framework implementation of surveillance tracking system based on pir motion sensors," Indones. J. Electr. Eng. Comput. Sci., vol. 13, no. 1, pp. 235–242, 2019, doi: 10.11591/ijeecs.v13.i1.pp235-242.




DOI: http://dx.doi.org/10.24014/sitekin.v20i2.22095

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 SITEKIN: Jurnal Sains, Teknologi dan Industri




Editorial Address:
FAKULTAS SAINS DAN TEKNOLOGI
UIN SULTAN SYARIF KASIM RIAU

Kampus Raja Ali Haji
Gedung Fakultas Sains & Teknologi UIN Suska Riau
Jl.H.R.Soebrantas No.155 KM 18 Simpang Baru Panam, Pekanbaru 28293
Email: sitekin@uin-suska.ac.id
© 2023 SITEKIN, ISSN 2407-0939

SITEKIN Journal Indexing:

Google Scholar | Garuda | Moraref | IndexCopernicus | SINTA


Creative Commons License
SITEKIN by http://ejournal.uin-suska.ac.id/index.php