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HỘI THẢO KHOA HỌC QUỐC TẾ ATiGB LẦN THỨ TÁM - The 8 ATiGB 2023 105
The test was conducted for a duration of 2 hours. The advantages of LoRa technology include wide
During the testing, the device managed to detect 70% signal reception, energy efficiency, low cost, the
of pedestrians. This lower detection rate can be ability to differentiate object movements, and good
attributed to the fact that pedestrians often walk very performance in different light conditions, making it
close to the sidewalk, which falls outside the sensor's easy to deploy. However, LoRa technology also has
scanning range. Similarly, with motorbikes, some limitations in terms of observation range, system
vehicles come close to adjacent lanes, resulting in the scalability, and troubleshooting mechanisms.
motorbikes being either outside the sensor's scanning In the future, the research team will continue to
range or within a low-scanning area that the device expand the range by adding devices, improve
cannot effectively detect. However, we can enhance accuracy through algorithms, and integrate additional
detection by adjusting the device's installation sensors. They will also develop monitoring and
position. However, the sensors successfully detected troubleshooting mechanisms to further develop and
100% of cars due to their larger size. apply LoRa technology in traffic monitoring and
C. Test detecting vehicles moving at different urban management.
speeds
REFERENCES
[1] Gubbi, J.; Buyya, R.; Marusic, S.; Palaniswamia, M.
Internet of Things (IoT): A vision, architectural
elements, and future directions. Future Gener.
Comput. Syst. 2013, 29, 1645–1660.
[2] Evans, D. The Internet of Things: How the Next
Evolution of the Internet is Changing Everything;
Cisco Internet Business Solutions Group: San Jose,
CA, USA, 2011.
[3] LoRa Alliance. White Paper: A Technical Overview
of Lora and Lorawan. The LoRa Alliance: San
Ramon, CA, USA, 2015.
Fig. 12. The testing location for [4] Bor, Martin, John Edward Vidler, and Utz Roedig.
detecting traffic vehicles. "LoRa for the Internet of Things". (2016): 361-366.
We conducted tests to assess the capability of the [5] Arduino UNO R3 manual. https://www.makershop.de/
device in detecting motorcycles and cars moving at download/uno-r3-manual.pdf.
different speeds. Specifically, we conducted tests at [6] E32-433T20D User Manual. https://www.cdebyte.com/
speeds of 20km/h, 40km/h, and 60km/h for motorcycles, pdf-down.aspx?id=1452.
and 80km/h for cars. At each of these speeds, we [7] Internet:https://www.instructables.com/LoRa-3Km-
conducted five test runs. Surprisingly, the device to-8Km-Wireless-Communication-With-Low-Co/.
successfully detected both motorcycles and cars in all [8] Kelemen, Michal, et al. "Distance measurement via
test runs. This demonstrates that the device has the using of ultrasonic sensor". Journal of Automation
ability to detect moving vehicles at different speeds. and Control. 3.3 (2015): 71-74.
V. CONCLUSION [9] HC-SR04 User's_Manual. https://pdf1.alldatasheet.com/
datasheet-pdf/view/1132204/ETC2/HCSR04.html.
In this article, we have designed and deployed a
traffic alert system using LoRa technology in areas
with limited line of sight. The system consists of
2 infrared cameras, 3 traffic sensors, and 1 LoRa
gateway. The system is capable of detecting and
alerting vehicles within a narrow range. Through
testing, the system operates stably with a detection
accuracy of 95% and an average delay time of only
0.5 seconds. The system maintains effectiveness
under varying light conditions. The application of
LoRa technology in traffic alert systems can
contribute to reducing accidents and increasing safety
for road users. One notable feature of this system is
its ability to operate reliably under different light
conditions. This is important to ensure the alert
system functions effectively in all situations.
ISBN: 978-604-80-9122-4