Intelligent Traffic Management System Using VLSI and Python GUI

References

[1] R. Kumar and T. Das, “Design of Traffic Light Controller Using FSM,” International Journal of VLSI Design, vol. 11, no. 3, pp. 145–150, 2018.

[2] S. Patel and V. Sharma, “Intelligent Traffic Control System Using Verilog HDL,” in Proceedings of the IEEE International Conference on Smart Electronics, pp. 78–83, 2019.

[3] M. Singh and P. Rao, “VLSI-Based Smart Traffic Light Controller for Urban Intersections,” Journal of Embedded Systems, vol. 7, no. 4, pp. 210–218, 2020.

[4] A. Sharma and K. Gupta, “Simulation of Traffic Signal Control Using FSM and Waveform Analysis,” International Journal of Engineering Research, vol. 10, no. 4, pp. 65–72, 2021.

[5] N. Weste and D. Harris, CMOS VLSI Design: A Circuits and Systems Perspective, 4th ed., Boston, MA: Addison-Wesley, 2011.

[6] A. Brown and D. Wilson, “Python-based visualization for embedded logic systems,” Embedded Systems Letters, vol. 13, no. 1, pp. 25–28, 2022.

[7] P. Mehta and S. Iyer, “Low-power embedded system design for smart city applications,” in Proceedings of the International Conference on Smart Computing Systems, pp. 112–118, 2021.

[8] T. Anderson and K. Lee, “Advanced Verilog HDL Simulation Techniques Using ModelSim,” Journal of Digital Logic Design, vol. 14, no. 2, pp. 88–95, 2020.

[9] L. Zhang and N. Verma, “Scalable traffic intersection models using Hardware Description Languages,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 6, pp. 3450–3459, 2021.

[10] R. Gupta and M. Patel, “Real-time Graphical User Interfaces for VLSI Verification using Python,” Journal of Hardware-Software Co-Design, vol. 9, no. 3, pp. 210–217, 2023.

[11] P. Karthik and V. Natarajan, “FPGA Implementation of an Adaptive Traffic Light Controller using Verilog,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 8, pp. 2341–2349, 2021.

[12] M. S. Kumar and R. Baskar, “Optimization of Traffic Signal Control using Finite State Machine,” International Journal of Computer Applications, vol. 182, no. 41, pp. 12–18, 2020.

[13] D. Anand and S. Ramesh, “Developing Real-Time Interactive Dashboards for Hardware Simulations using Python,” Journal of Open Source Software, vol. 6, no. 60, pp. 3021–3027, 2022.

[14] K. J. Priya and A. L. N. Rao, “Functional Verification of Complex Digital Systems using ModelSim,” International Journal of Electronics and Communication Engineering, vol. 14, no. 2, pp. 45–53, 2019.

[15] V. S. Rajan and T. R. Prasad, “Smart City Infrastructure: Low-Power Embedded Architectures for Urban Traffic Management,” Journal of Sustainable Transportation Systems, vol. 8, no. 1, pp. 104–112, 2023.

@article{1714537,
      author = {S. Lalitha, S. A. Siva, K. K. Tharun, G. Yohendra Prakash},
      title = {Intelligent Traffic Management System Using VLSI and Python GUI},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {1700-1706},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714537.pdf},
      abstract = {This invention concerns the development of an intelligent traffic management system utilizing Very Large Scale Integration (VLSI) concepts to replace traditional hardware-dependent controllers. The traffic control logic is developed using a Finite State Machine (FSM) architecture and implemented in Verilog HDL, providing precise signal timing and reliable state transitions. An embedded simulation environment built on ModelSim ensures real-time logic verification and waveform analysis without the need for expensive physical hardware. The system integrates advanced visualization through a Python-based Graphical User Interface (GUI), which continuously monitors and displays the simulated traffic signal status in real-time. Power consumption and hardware complexities are significantly reduced by utilizing a simulation-first approach. Firmware logic handles sequential state transitions, timer limits, and safety interlocks between conflicting traffic lanes. A modular software design supports scalable traffic intersection layouts and ensures safe, conflict-free signal operation. This invention demonstrates a highly reliable, low-cost, and scalable embedded electronics platform for modern smart city traffic control applications.},
      keywords = {VLSI design, Finite State Machine (FSM), Verilog HDL, ModelSim Simulation, Python GUI, Smart Traffic Control, Embedded Logic, Waveform Analysis.},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714537}
  }