Operating Times and Users’ Behavior at Urban Road Intersections

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...

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Main Authors: Laura Moretti, Fabio Palazzi, Giuseppe Cantisani
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/10/4120
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spelling doaj-55e31191e9d0433d9e2275492ee7b7ca2020-11-25T02:37:13ZengMDPI AGSustainability2071-10502020-05-01124120412010.3390/su12104120Operating Times and Users’ Behavior at Urban Road IntersectionsLaura Moretti0Fabio Palazzi1Giuseppe Cantisani2Department of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome, ItalyThe 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.https://www.mdpi.com/2071-1050/12/10/4120intersection operation time4-leg intersection3-leg intersectiondriver’s behavior
collection DOAJ
language English
format Article
sources DOAJ
author Laura Moretti
Fabio Palazzi
Giuseppe Cantisani
spellingShingle Laura Moretti
Fabio Palazzi
Giuseppe Cantisani
Operating Times and Users’ Behavior at Urban Road Intersections
Sustainability
intersection operation time
4-leg intersection
3-leg intersection
driver’s behavior
author_facet Laura Moretti
Fabio Palazzi
Giuseppe Cantisani
author_sort Laura Moretti
title Operating Times and Users’ Behavior at Urban Road Intersections
title_short Operating Times and Users’ Behavior at Urban Road Intersections
title_full Operating Times and Users’ Behavior at Urban Road Intersections
title_fullStr Operating Times and Users’ Behavior at Urban Road Intersections
title_full_unstemmed Operating Times and Users’ Behavior at Urban Road Intersections
title_sort operating times and users’ behavior at urban road intersections
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-05-01
description 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.
topic intersection operation time
4-leg intersection
3-leg intersection
driver’s behavior
url https://www.mdpi.com/2071-1050/12/10/4120
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AT fabiopalazzi operatingtimesandusersbehavioraturbanroadintersections
AT giuseppecantisani operatingtimesandusersbehavioraturbanroadintersections
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