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Traffic Light System With Embedded GPS (Global Positioning System) and GSM (Global System for Mobile Communications) Shield

Author

Listed:
  • Ford Lumban Gaol

    (Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia)

  • Pramasiwo Alam

    (Computer Science Department, School of Computer Science Bina Nusantara University, Jakarta, Indonesia)

  • Muhammad Bio Franklyn

    (Computer Science Department, School of Computer Science Bina Nusantara University, Jakarta, Indonesia)

  • Kevins Angke

    (Computer Science Department, School of Computer Science Bina Nusantara University, Jakarta, Indonesia)

  • Tokuro Matsuo

    (Advanced Institute of Industrial Technology, Edogawa, Japan)

Abstract

Artificial intelligence traffic controllers are being designed with the primary goal of enabling them to adapt to the most recent sensor data in order to perform ongoing optimizations on the signal timing plan for intersections in a network in order to reduce traffic congestions, the most pressing issue in traffic flow control at present. The authors are employing an intelligent traffic redirection technology to reduce traffic and road congestion. This would operate utilizing sensors to determine weight, with the result communicated to a traffic light PLC to control the detour. The result of experiments reduced the number of automobiles in a given time interval by 51%. There is improvement as well as on the average speed of automobiles that increase within the system by 49%. The authors also found a reduction of the average time a vehicle must wait in a system by 58%. Moreover, the implementation shows that the average wait times at junctions have been reduced by 34%.

Suggested Citation

  • Ford Lumban Gaol & Pramasiwo Alam & Muhammad Bio Franklyn & Kevins Angke & Tokuro Matsuo, 2023. "Traffic Light System With Embedded GPS (Global Positioning System) and GSM (Global System for Mobile Communications) Shield," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 14(1), pages 1-13, January.
    • Handle: RePEc:igg:jaci00:v:14:y:2023:i:1:p:1-13
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