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Operating Times and Users’ Behavior at Urban Road Intersections

Author

Listed:
  • Laura Moretti

    (Department of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Fabio Palazzi

    (Department of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Giuseppe Cantisani

    (Department of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome, Italy)

Abstract

The safety of at grade road intersections is a relevant issue with social, economic, and environmental implications. It is related to the behavior of a driver approaching an intersection that, in its turn, is affected by kinematic and physiological variables. This study proposes a model to calculate the intersection operation time (IOT) for typical non-signalized 4-leg and 3-leg (or T-leg) urban intersections. Data available in the literature have been considered in order to identify the points of interest and assess the number and the time of a driver’s eye fixation on them. When approaching an intersection, the probability of glancing in a particular area changes with the distance to the yield or stop line; for this reason, a probabilistic approach was used to model the phenomenon. All possible maneuvers have been considered: left turning, right turning, and through-movement. The proposed model allowed an objective comparison between time spent by drivers for various maneuvers and layout conditions, and identification of the critical conditions. Indeed, significant differences in terms of IOT were found: they could lead to modification of the traffic management considering different needs of road users, traffic demand, and geometrical and functional constraints.

Suggested Citation

  • Laura Moretti & Fabio Palazzi & Giuseppe Cantisani, 2020. "Operating Times and Users’ Behavior at Urban Road Intersections," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4120-:d:359572
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    References listed on IDEAS

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    1. Ragland, David R & Arroyo, Sofia & Shladover, Steven E. & Misener, James A. & Chan, Ching-Yao, 2006. "Gap acceptance for vehicles turning left across on-coming traffic: Implications for Intersection Decision Support design," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8455h5gq, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Qian Cheng & Xiaobei Jiang & Haodong Zhang & Wuhong Wang & Chunwen Sun, 2020. "Data-Driven Detection Methods on Driver’s Pedal Action Intensity Using Triboelectric Nano-Generators," Sustainability, MDPI, vol. 12(21), pages 1-17, October.

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