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Lean Traffic Control (LTC) for Emergency Vehicles Applied in Developing Countries: Tehran Transport Planning

Author

Listed:
  • Farzad Tahriri

    (School of Industrial and System Engineering, College of Engineering, University of Tehran, Tehran, Iran)

  • Ali Azadeh

    (School of Industrial and System Engineering, College of Engineering, University of Tehran, Tehran, Iran)

Abstract

Quick arrival of emergency assistance to the troubled area is immensely essential for ambulances, and other vehicles like police, fire engines, etc. For the distance between the departure and the final troubled points, the consumed traveling time is the most critical issue to be considered. Utmost attention should be taken into consideration at traffic lights and other congested intersections. This paper is advantageous and ideal in proposing, innovating, and developing a model, namely server-centric, which is a great asset in reducing the cost and producing better performance by applying an Internet of Things (IOT), by considering a central controller web server, and a microcontroller system by applying Global Positioning System (GPS) and Fuzzy Controller System (FCS) approach. This Lean Traffic Control (LTC) can dynamically and automatically control traffic signals in order to open the path to get the destination as soon as possible. It can be performed by considering three main steps to design: 1- Central controller web server, 2- Communications software application, and 3- Communications hardware application. The primary prototype of this project is ready and the future work will need the LTC system to be tested in real-world performance.

Suggested Citation

  • Farzad Tahriri & Ali Azadeh, 2018. "Lean Traffic Control (LTC) for Emergency Vehicles Applied in Developing Countries: Tehran Transport Planning," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 4(2), pages 57-63.
    • Handle: RePEc:apa:ijtess:2018:p:57-63
    DOI: 10.20469/ijtes.4.10003-2
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    References listed on IDEAS

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    1. Aaron Sharpe & Byoung Ryoun Koh & Simon McLernon, 2016. "Over-speeding warning system using wireless communications for road signs and vehicles," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(5), pages 140-155.
    2. Savkovic B. & Kovac P. & Mankova I. & Gostimirovic M. & Rokosz K. & Rodic D., 2017. "Surface roughness modeling of semi solid aluminum milling by fuzzy logic," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 3(2), pages 34-46.
    3. Sutartip Wittayapiyanon & Sathaporn Chuepeng, 2017. "Sport utility vehicle seat structure simulation of frontal oblique crash," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 3(3), pages 69-78.
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    Cited by:

    1. Afifa Nawaz & Nazir Ahmad Zafar & Eman H. Alkhammash, 2021. "Formal Modeling of Responsive Traffic Signaling System Using Graph Theory and VDM-SL," Sustainability, MDPI, vol. 13(21), pages 1-29, October.

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    Keywords

    LTC; GPS; FCS;
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