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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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2017/4941535 |
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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 |
work_keys_str_mv |
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