ABSTRACT:
Efficient toll collection is a critical component of modern transportation systems, directly impacting congestion reduction and revenue accuracy. Conventional manual toll collection methods cause delays, human errors, and inefficiencies. To address these challenges, this paper presents an Arduino-based automatic toll gate system integrating RFID technology, infrared (IR) sensing, and servo motor actuation. The system detects a vehicle using an IR sensor, authenticates it via RFID, and automatically controls the gate mechanism. Experimental results demonstrate reduced waiting time, minimal human intervention, and high reliability. The proposed system is cost-effective, scalable, and suitable for smart transportation infrastructure. Furthermore, this paper includes a comparative analysis with existing systems, a security discussion, and future integration with IoT and cloud-based toll management.
Cite this article:
Automatic Toll Gate System Using Arduino-Based RFID Authentication, Automatic Toll Gate System Using Arduino-Based RFID Authentication, Spectrum of Emerging Sciences, 6 (1)1-6 10.55878/SES2026-6-1-1, DOI: https://doi.org/10.55878/SES2026-6-1-6
References
[1].
K. S.
Reddy and R. K. Mishra, “Traffic congestion and fuel wastage at toll plazas in
India,” Int. J. Transp. Eng., vol. 8, no. 2, pp. 112–125, 2021.
[2].
A.
Mukherjee and S. Roy, “Automated toll collection system using Arduino and RFID
technology,” Int. J. Eng. Res. Technol. (IJERT), vol. 7, no. 5, pp.
234–238, 2018.
[3].
M. A.
Hoque, M. R. Islam, and S. A. Chowdhury, “RFID based automatic toll collection
system for developing countries,” in Proc. IEEE ICISET, 2020, pp. 1–6,
doi: 10.1109/ICISET.2020.00015.
[4].
P. K.
Sharma and N. Singh, “IoT enabled smart toll plaza using RFID and cloud
computing,” J. Adv. Res. Dynam. Control Syst., vol. 12, no. 7, pp.
567–575, 2020.
[5].
R.
Shrivastava and P. Kumar, “Smart toll gate automation using sensors and
microcontrollers,” Int. J. Adv. Res. Electr. Electron. Instrum. Eng.
(IJAREEIE), vol. 8, no. 4, pp. 1122–1128, 2019.
[6].
Arduino,
“Arduino Uno Rev3 technical specifications,” 2024. [Online]. Available: https://docs.arduino.cc/hardware/uno-rev3
[7].
M. A.
Mazidi, S. Naimi, and S. Naimi, AVR Microcontroller and Embedded Systems:
Using Assembly and C, 2nd ed. Pearson, 2018.
[8].
L. F.
Crespo, P. M. Santos, and J. M. L. R. de Almeida, “Low-cost automation of
access control using RFID and Arduino,” IEEE Latin Amer. Trans., vol.
19, no. 3, pp. 456–463, Mar. 2021, doi: 10.1109/TLA.2021.00000.
[9].
HC‑SR04
Ultrasonic Sensor Datasheet, ElecFreaks, 2019.
[10].
P.
Ramesh and S. Karthik, “Automatic toll gate control using Arduino,” in Proc.
Int. Conf. Smart Electron. Syst., Chennai, India, 2020, pp. 78–82.
[11].
S.
Gupta and A. Verma, “Environmental impact of manual toll plazas: A case study
of Delhi‑NCR,” Environ. Sci. Pollut. Res., vol. 30, pp. 11220–11232,
2023.
[12].
T.
Ahmed and M. H. Kabir, “Cloud‑based real‑time toll management system using
ESP32,” in Proc. IEEE CCWC, Las Vegas, NV, USA, 2022, pp. 521–526,
doi: 10.1109/CCWC.2022.00098.
[13].
D.
Bhatt and S. Patel, “Machine learning for traffic flow prediction at toll
plazas,” J. Intell. Transp. Syst., vol. 26, no. 5, pp. 601–614, 2022.