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Application of area traffic control using the max-pressure algorithm
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Application of area traffic control using the max-pressure algorithm

Author

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  • S. A. Ramadhan
  • H. Y. Sutarto
  • G. S. Kuswana
  • E. Joelianto

Abstract

This paper proposes an application of max-pressure control for network-wide signal control at Bandung, Indonesia. The max-pressure approach is employed for a specific disturbed network system synthetic scenario, created with the aim to simulate spillback conditions which causing long congestion across road segments in real traffic conditions. The max-pressure controller is implemented for a network of six signalized intersections in PTV Vissim, a traffic micro-simulation platform. The validated model is generated before implementing in the Vissim traffic simulation. Three types of controller are studied: the currently implemented controller (fixed time controller), cycle-based max-pressure and slotted-based max-pressure. The simulation results show that max-pressure control is more powerful than the currently implemented technique in terms of the capability to avoid congestion by spreading vehicles to other road segments with respect to some events that can be seen as a disturbance.

Suggested Citation

  • S. A. Ramadhan & H. Y. Sutarto & G. S. Kuswana & E. Joelianto, 2020. "Application of area traffic control using the max-pressure algorithm," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(8), pages 783-802, November.
    • Handle: RePEc:taf:transp:v:43:y:2020:i:8:p:783-802
    DOI: 10.1080/03081060.2020.1828934
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    Cited by:

    1. Muhammad Riza Tanwirul Fuad & Eric Okto Fernandez & Faqihza Mukhlish & Adiyana Putri & Herman Yoseph Sutarto & Yosi Agustina Hidayat & Endra Joelianto, 2022. "Adaptive Deep Q-Network Algorithm with Exponential Reward Mechanism for Traffic Control in Urban Intersection Networks," Sustainability, MDPI, vol. 14(21), pages 1-20, November.

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