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Modeling of Queue Detector Location at Signalized Roundabouts via VISSIM Micro-Simulation Software in Amman City, Jordan

Author

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  • Amani Abdallah Assolie

    (School of Civil Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia)

  • Nur Sabahiah Abdul Sukor

    (School of Civil Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia)

  • Ibrahim Khliefat

    (Department of Civil Engineering, Faculty of Engineering, AL-Balqa Applied University, Salt 19117, Jordan)

  • Teh Sabariah Binti Abd Manan

    (School of Civil Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia)

Abstract

The growing number of vehicles in Jordan has contributed to traffic congestion, particularly at roundabouts. Roundabouts deflect high volumes of traffic flow. To improve the performance of roundabouts, it is necessary to consider the impact of all components on traffic conditions, especially delay, queue length, and level of service (LOS), to reduce congestion and enhance efficiency and sustainability, etc. This study aims to (a) identify the optimal queue detector locations on all approaches at two selected roundabouts in Amman, Jordan, using micro-simulation (VISSIM) supported by programming (Python) software, and (b) validate the simulated models with the best LOS. Traffic and geometric data of roundabouts (Prince Faisal Bin al-Hussein, fifth; and Prince Rashid Bin Hassan, sixth roundabouts) were used for simulation purposes. The queue detector (across 15 distinct scenarios at various distances) and standard (base scenario, 50 m from the stop line) locations were assessed for optimal placement. The model validation was made based on all scenarios including signalized and non-signalized roundabouts. The best-case scenario for queue detector location was determined based on the highway capacity manual (HCM) criteria for measurement of effectiveness (MOE) at roundabouts. The optimal location was measured based on the duration of traffic delay (seconds), average queue length (m), and LOS. The optimal queue detector’s location was observed to be 97 m from the roundabout stop line. It can reduce the traffic delay (or speed up the traffic flow) by 85.25%. The average queue length can be reduced up to 76.76%. The LOS F status on the selected roundabouts can be improved to LOS D. Overall, the application of adaptive signal and queue detectors in appropriate locations at all roundabout approaches is crucial to improve imbalanced traffic flow while reducing delays.

Suggested Citation

  • Amani Abdallah Assolie & Nur Sabahiah Abdul Sukor & Ibrahim Khliefat & Teh Sabariah Binti Abd Manan, 2023. "Modeling of Queue Detector Location at Signalized Roundabouts via VISSIM Micro-Simulation Software in Amman City, Jordan," Sustainability, MDPI, vol. 15(11), pages 1-33, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8451-:d:1153390
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    References listed on IDEAS

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    1. Othmane Boualam & Attila Borsos & Csaba Koren & Viktor Nagy, 2022. "Impact of Autonomous Vehicles on Roundabout Capacity," Sustainability, MDPI, vol. 14(4), pages 1-14, February.
    2. Slavko Davidović & Vuk Bogdanović & Nemanja Garunović & Zoran Papić & Dragan Pamučar, 2021. "Research on Speeds at Roundabouts for the Needs of Sustainable Traffic Management," Sustainability, MDPI, vol. 13(1), pages 1-20, January.
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    Cited by:

    1. Amani Abdallah Assolie & Rana Imam & Ibrahim Khliefat & Ala Alobeidyeen, 2024. "Modeling of Applying Road Pricing to Airport Highway Using VISUM Software in Jordan," Sustainability, MDPI, vol. 16(18), pages 1-49, September.

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