On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.

Recent studies have proposed using well-defined relationships between network productivity and accumulation-otherwise known as Network or Macroscopic Fundamental Diagrams (network MFDs)-to model the dynamics of large-scale urban traffic networks. Network MFDs have been used to develop a variety of n...

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Main Authors: Raed Alsalhi, Vinayak V Dixit, Vikash V Gayah
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6080770?pdf=render
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spelling doaj-5b9b2541aeab41bab07ba5b382048b1b2020-11-25T00:48:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01138e020054110.1371/journal.pone.0200541On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.Raed AlsalhiVinayak V DixitVikash V GayahRecent studies have proposed using well-defined relationships between network productivity and accumulation-otherwise known as Network or Macroscopic Fundamental Diagrams (network MFDs)-to model the dynamics of large-scale urban traffic networks. Network MFDs have been used to develop a variety of network-wide traffic control policies to improve a network's operational efficiency. However, the relationship between a network's MFD and its safety performance has not been well explored. This study proposes the existence of a Macroscopic Safety Diagram (MSD) that relates safety performance (e.g., likelihood of a crash occurring or number of vehicle conflicts observed) with the current network state (i.e., average density) in an urban traffic network. We theoretically posit a relationship between a network's MSD and its MFD based on the average maneuver envelop of vehicles traveling within the network. Based on this model, we show that the density associated with maximum crash propensity is always expected to be larger than the density associated with maximum network productivity. This finding suggests that congested states are not only inefficient, but they might also be associated with more crashes, which can be both more unsafe and lead to decreased network reliability. These theoretical results are validated using surrogate safety assessment metrics in microsimulation and limited field empirical data from a small arterial network in Riyadh, Kingdom of Saudi Arabia. The existence of such MSDs can be used to develop more comprehensive network-wide control policies that can ensure both safe, efficient and reliable network operations.http://europepmc.org/articles/PMC6080770?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Raed Alsalhi
Vinayak V Dixit
Vikash V Gayah
spellingShingle Raed Alsalhi
Vinayak V Dixit
Vikash V Gayah
On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.
PLoS ONE
author_facet Raed Alsalhi
Vinayak V Dixit
Vikash V Gayah
author_sort Raed Alsalhi
title On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.
title_short On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.
title_full On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.
title_fullStr On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.
title_full_unstemmed On the existence of network Macroscopic Safety Diagrams: Theory, simulation and empirical evidence.
title_sort on the existence of network macroscopic safety diagrams: theory, simulation and empirical evidence.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description Recent studies have proposed using well-defined relationships between network productivity and accumulation-otherwise known as Network or Macroscopic Fundamental Diagrams (network MFDs)-to model the dynamics of large-scale urban traffic networks. Network MFDs have been used to develop a variety of network-wide traffic control policies to improve a network's operational efficiency. However, the relationship between a network's MFD and its safety performance has not been well explored. This study proposes the existence of a Macroscopic Safety Diagram (MSD) that relates safety performance (e.g., likelihood of a crash occurring or number of vehicle conflicts observed) with the current network state (i.e., average density) in an urban traffic network. We theoretically posit a relationship between a network's MSD and its MFD based on the average maneuver envelop of vehicles traveling within the network. Based on this model, we show that the density associated with maximum crash propensity is always expected to be larger than the density associated with maximum network productivity. This finding suggests that congested states are not only inefficient, but they might also be associated with more crashes, which can be both more unsafe and lead to decreased network reliability. These theoretical results are validated using surrogate safety assessment metrics in microsimulation and limited field empirical data from a small arterial network in Riyadh, Kingdom of Saudi Arabia. The existence of such MSDs can be used to develop more comprehensive network-wide control policies that can ensure both safe, efficient and reliable network operations.
url http://europepmc.org/articles/PMC6080770?pdf=render
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