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Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis

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  • Nihat Can Karabulut

    (Department of Civil Engineering, Faculty of Civil Engineering, Yıldız Technical University, Istanbul 34420, Türkiye)

  • Murat Ozen

    (Department of Civil Engineering, Faculty of Engineering, Mersin University, Mersin 33343, Türkiye)

  • Oruc Altintasi

    (Department of Civil Engineering, Faculty of Engineering and Architecture, Izmir Kâtip Celebi University, Izmir 35620, Türkiye)

Abstract

As urban traffic challenges intensify, the growing interest for fully actuated control systems in intersection management is on the rise due to their capacity to adapt to dynamic traffic demands. These systems play a crucial role in sustainable traffic solutions, significantly reducing delays and emissions and enhancing overall system efficiency. The optimal performance of these systems relies on effectively facilitating vehicle discharge at the saturation flow rate throughout the green period. This study introduces a new parameter, lane inefficiency, evaluating vehicle discharge effectiveness by comparing saturation flow rate with instantaneous discharge for each green period. It provides a comprehensive assessment of green utilization for specific lanes. This study also explores the impact of signal control system parameters and traffic flow characteristics on lane inefficiency using principal component analysis (PCA) and multiple linear regression models. This approach holistically evaluates how both signal control system and traffic flow parameters collectively influence efficient green period utilization. The findings emphasize the impact of critical factors on lane inefficiency, including green time, the proportion of total unused green time to green time, total unused green time, the percentage of heavy vehicles in departing traffic, the ratio of effective green time to cycle time, the total time headways of the first four vehicles, and queue length. Decision makers need to pay due attention to these parameters to enhance intersection performance and foster a more sustainable urban transportation network.

Suggested Citation

  • Nihat Can Karabulut & Murat Ozen & Oruc Altintasi, 2024. "Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis," Sustainability, MDPI, vol. 16(2), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:722-:d:1319027
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    References listed on IDEAS

    as
    1. Xing Gao & Jing Zhao & Meng Wang, 2020. "Modelling the saturation flow rate for continuous flow intersections based on field collected data," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
    2. Li Song & Wei (David) Fan, 2023. "Intersection capacity adjustments considering different market penetration rates of connected and automated vehicles," Transportation Planning and Technology, Taylor & Francis Journals, vol. 46(3), pages 286-303, April.
    3. Cipriani, Ernesto & Mannini, Livia & Montemarani, Barbara & Nigro, Marialisa & Petrelli, Marco, 2019. "Congestion pricing policies: Design and assessment for the city of Rome, Italy," Transport Policy, Elsevier, vol. 80(C), pages 127-135.
    4. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
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