A Simplified Network Model for Travel Time Reliability Analysis in a Road Network

This paper proposes a simplified network model which analyzes travel time reliability in a road network. A risk-averse driver is assumed in the simplified model. The risk-averse driver chooses a path by taking into account both a path travel time variance and a mean path travel time. The uncertainty...

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Main Authors: Kenetsu Uchida, Teppei Kato
Format: Article
Language:English
Published: Hindawi-Wiley 2017-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2017/4941535
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spelling doaj-07ee661fc2a04deb8a116610cabdec392020-11-25T01:58:49ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/49415354941535A Simplified Network Model for Travel Time Reliability Analysis in a Road NetworkKenetsu Uchida0Teppei Kato1Graduate School of Engineering, Hokkaido University, Hokkaido, JapanGraduate School of Engineering, Hokkaido University, Hokkaido, JapanThis paper proposes a simplified network model which analyzes travel time reliability in a road network. A risk-averse driver is assumed in the simplified model. The risk-averse driver chooses a path by taking into account both a path travel time variance and a mean path travel time. The uncertainty addressed in this model is that of traffic flows (i.e., stochastic demand flows). In the simplified network model, the path travel time variance is not calculated by considering all travel time covariance between two links in the network. The path travel time variance is calculated by considering all travel time covariance between two adjacent links in the network. Numerical experiments are carried out to illustrate the applicability and validity of the proposed model. The experiments introduce the path choice behavior of a risk-neutral driver and several types of risk-averse drivers. It is shown that the mean link flows calculated by introducing the risk-neutral driver differ as a whole from those calculated by introducing several types of risk-averse drivers. It is also shown that the mean link flows calculated by the simplified network model are almost the same as the flows calculated by using the exact path travel time variance.http://dx.doi.org/10.1155/2017/4941535
collection DOAJ
language English
format Article
sources DOAJ
author Kenetsu Uchida
Teppei Kato
spellingShingle Kenetsu Uchida
Teppei Kato
A Simplified Network Model for Travel Time Reliability Analysis in a Road Network
Journal of Advanced Transportation
author_facet Kenetsu Uchida
Teppei Kato
author_sort Kenetsu Uchida
title A Simplified Network Model for Travel Time Reliability Analysis in a Road Network
title_short A Simplified Network Model for Travel Time Reliability Analysis in a Road Network
title_full A Simplified Network Model for Travel Time Reliability Analysis in a Road Network
title_fullStr A Simplified Network Model for Travel Time Reliability Analysis in a Road Network
title_full_unstemmed A Simplified Network Model for Travel Time Reliability Analysis in a Road Network
title_sort simplified network model for travel time reliability analysis in a road network
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2017-01-01
description This paper proposes a simplified network model which analyzes travel time reliability in a road network. A risk-averse driver is assumed in the simplified model. The risk-averse driver chooses a path by taking into account both a path travel time variance and a mean path travel time. The uncertainty addressed in this model is that of traffic flows (i.e., stochastic demand flows). In the simplified network model, the path travel time variance is not calculated by considering all travel time covariance between two links in the network. The path travel time variance is calculated by considering all travel time covariance between two adjacent links in the network. Numerical experiments are carried out to illustrate the applicability and validity of the proposed model. The experiments introduce the path choice behavior of a risk-neutral driver and several types of risk-averse drivers. It is shown that the mean link flows calculated by introducing the risk-neutral driver differ as a whole from those calculated by introducing several types of risk-averse drivers. It is also shown that the mean link flows calculated by the simplified network model are almost the same as the flows calculated by using the exact path travel time variance.
url http://dx.doi.org/10.1155/2017/4941535
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