Integrating Intelligent Lighting and Traffic Control: A Logic-Based Embedded Framework for Smarter Cities
Authors
Bulacan State University (Philippines)
Bulacan State University (Philippines)
Bulacan State University (Philippines)
Bulacan State University (Philippines)
Article Information
DOI: 10.47772/IJRISS.2024.916SCO0028
Subject Category: Engineering & Technology
Volume/Issue: 9/16 | Page No: 294-304
Publication Timeline
Submitted: 2025-11-27
Accepted: 2025-12-04
Published: 2025-12-13
Abstract
This study is an Arduino-based traffic light controller implemented and simulated in Tinkercad. This project is an example of a logic- controlled embedded system that uses an Arduino Uno as a microcontroller to manage the timing and sequencing of a simulated traffic light. The Arduino acts as the central control unit that reads inputs (such as a mode switch) and activates outputs (red, yellow, and green LEDs) according to predefined timing intervals. Through this setup, the Arduino replicates the logic of a real-world intersection control system, managing state transitions (GO → CAUTION → STOP) and responding dynamically to pedestrian requests or emergency modes. This integration of hardware and software demonstrates the core principles of embedded systems — real-time control, signal sequencing, safety logic, and efficient resource utilization.
The system embodies the behavior of an actual traffic light intersection by using timing variables, control logic, and optional user inputs to simulate adaptive and safe traffic management. The inclusion of optional features like pedestrian control and emergency blinking modes enhances realism and shows how embedded logic can improve the versatility and safety of automated systems
Keywords
CpE 615 ,Microprocessors , Microcomputers ,Lighting
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References
1. Agrawal, S., & Paulus, S. (2020). Intelligent traffic light design and control in smart cities: A survey on techniques and methodologies. International Journal of Vehicle Information and Communication Systems, 5(2), 150–174.https://doi.org/10.1504/IJVICS.2020.111456 [Google Scholar] [Crossref]
2. Jin, J., Ma, X., & Kosonen, I. (2017). An intelligent control system for traffic lights with simulation-based evaluation. Control Engineering Practice, 58, 24–33. [Google Scholar] [Crossref]
3. https://doi.org/10.1016/j.conengprac.2016.1 0.013 [Google Scholar] [Crossref]
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