Home
  • English
  • ÄŒeÅ¡tina
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • LatvieÅ¡u
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Log In
    New user? Click here to register. Have you forgotten your password?
Home
  • Browse Our Collections
  • Publications
  • Researchers
  • Research Data
  • Institutions
  • Statistics
    • English
    • ÄŒeÅ¡tina
    • Deutsch
    • Español
    • Français
    • Gàidhlig
    • LatvieÅ¡u
    • Magyar
    • Nederlands
    • Português
    • Português do Brasil
    • Suomi
    • Log In
      New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Resources
  3. Journals
  4. Applied Mathematics and Computational Intelligence (AMCI)
  5. Smart Traffic Light Prototype Implementation using LoRa Technology
 
Options

Smart Traffic Light Prototype Implementation using LoRa Technology

Journal
Applied Mathematics and Computational Intelligence (AMCI)
ISSN
2289-1315
Date Issued
2023-11-10
Author(s)
Lutfi Hadi Azizul Adry
Universiti Teknologi MARA
Muhammad Alif Najmi Ahmad Tarmizi
Universiti Teknologi MARA
Rafiza Ruslan
Universiti Teknologi MARA
Ahmad Yusri Dak
Universiti Teknologi MARA
Rashidah Ramle
Universiti Teknologi MARA
DOI
https://doi.org/10.58915/amci.v12i4.350
Handle (URI)
https://ejournal.unimap.edu.my/index.php/amci/article/view/350/230
https://hdl.handle.net/20.500.14170/15085
Abstract
Smart traffic light systems have the potential to significantly improve traffic flow and safety in both urban and suburban areas. Most smart traffic lights were deployed in a city with adequate infrastructure. However, building a smart traffic light in suburban areas can be challenging due to the limited availability of communication infrastructure. This paper aims to build and implement a smart traffic light system in a suburban area by incorporating LoRa (Long Range) technology for communication. LoRa is a low-power wireless technology that allows long-distance communication between devices and has low data rates and power consumption. It was created especially for Internet of Things (IoT) devices that run on batteries. The peer-to-peer method was used, which utilized three LoRa nodes for enabling the communication between traffic lights. Usability testing was conducted to determine the impact of the smart traffic light system on traffic flow and safety. The result of the testing shows that the system is necessary to improve traffic management in suburban areas, and the respondents were positive about its potential benefits. Received Signal Strength (RSS) was measured in two different environments: paddy field and residential areas in Kampung Alor Ara, Arau, Perlis. Results show a slight difference in RSS indicator versus distance for the placement of traffic lights in three-junction lanes. The optimum distance between any two traffic lights is 100m in the paddy field area. While for residential areas, the optimum distance is only 50m. The successful implementation of this prototype demonstrates the potential of LoRa technology in enhancing traffic management in suburban areas. Further research such as implementing artificial intelligence (AI) and utilizing advanced LoRa devices and antennas is needed to explore the scalability and long-term sustainability of the system.
Subjects
  • LoRa

  • Traffic light

  • Arduino

  • LoRa Shield

File(s)
66-75+Smart+Traffic+Light+Prototype+Implementation+using+LoRa+Technology.pdf (409.85 KB)
google-scholar
Views
Downloads
  • About Us
  • Contact Us
  • Policies