Modeling the Equilibrium Road Network Capacity

The aims of this paper are to present a new model to calculate the maximum equilibrium road network capacity and obtain the associated optimal origin-destination (i.e. OD) flow pattern for a general road network with given network topology and link attributes. First, the Static Congested Traffic Ass...

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Main Authors: Peng Zhang, Hao Yue, Xu Zhang, Chunfu Shao, Wencan Gao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8865098/
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author Peng Zhang
Hao Yue
Xu Zhang
Chunfu Shao
Wencan Gao
author_facet Peng Zhang
Hao Yue
Xu Zhang
Chunfu Shao
Wencan Gao
author_sort Peng Zhang
collection DOAJ
description The aims of this paper are to present a new model to calculate the maximum equilibrium road network capacity and obtain the associated optimal origin-destination (i.e. OD) flow pattern for a general road network with given network topology and link attributes. First, the Static Congested Traffic Assignment (SCTA) is introduced to describe the network where all used routes are in a congested state. Congested Equilibrium Travel Times (CETTs) between OD pairs obtained by the SCTA model are regarded as the corresponding upper limits of actual equilibrium travel times which are called Uncongested Equilibrium Travel Times (UETTs) and derived from the traditional Static Uncongested Traffic Assignment (SUTA) model. The main idea of modeling is that the total OD flows can be maximized by flexibly scaling and adjusting OD flows of each individual OD pairs to make the UETTs of all OD pairs reach their upper limits (i.e. CETTs). Next, a novel equilibrium road network capacity model is built by combining the SUTA and the SCTA models. Then, the equivalency condition and the solution uniqueness of the proposed model are proved. The paper moves on to provide two solution algorithms together with an analysis of the model characteristics. Finally, through three numerical examples, it is demonstrated that the proposed model can obtain the unique equilibrium network capacity with the given network topology and associated link attributes. The optimal OD flow pattern, which leads to the maximum total OD flows, is thus obtained. The findings in the paper can help to improve the utilization of road networks and contribute to land development planning and control.
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spelling doaj.art-8a9f5e3d1a714ff1b4b30bcc37298eac2022-12-22T03:47:02ZengIEEEIEEE Access2169-35362019-01-01716802916804710.1109/ACCESS.2019.29469778865098Modeling the Equilibrium Road Network CapacityPeng Zhang0https://orcid.org/0000-0002-2135-6300Hao Yue1Xu Zhang2Chunfu Shao3Wencan Gao4Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaCollege of Civil Engineering and Architecture, Henan University of Technology, Zhengzhou, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaThe aims of this paper are to present a new model to calculate the maximum equilibrium road network capacity and obtain the associated optimal origin-destination (i.e. OD) flow pattern for a general road network with given network topology and link attributes. First, the Static Congested Traffic Assignment (SCTA) is introduced to describe the network where all used routes are in a congested state. Congested Equilibrium Travel Times (CETTs) between OD pairs obtained by the SCTA model are regarded as the corresponding upper limits of actual equilibrium travel times which are called Uncongested Equilibrium Travel Times (UETTs) and derived from the traditional Static Uncongested Traffic Assignment (SUTA) model. The main idea of modeling is that the total OD flows can be maximized by flexibly scaling and adjusting OD flows of each individual OD pairs to make the UETTs of all OD pairs reach their upper limits (i.e. CETTs). Next, a novel equilibrium road network capacity model is built by combining the SUTA and the SCTA models. Then, the equivalency condition and the solution uniqueness of the proposed model are proved. The paper moves on to provide two solution algorithms together with an analysis of the model characteristics. Finally, through three numerical examples, it is demonstrated that the proposed model can obtain the unique equilibrium network capacity with the given network topology and associated link attributes. The optimal OD flow pattern, which leads to the maximum total OD flows, is thus obtained. The findings in the paper can help to improve the utilization of road networks and contribute to land development planning and control.https://ieeexplore.ieee.org/document/8865098/Transportationequilibrium road network capacityoptimal origin-destination flow patterntraffic assignment
spellingShingle Peng Zhang
Hao Yue
Xu Zhang
Chunfu Shao
Wencan Gao
Modeling the Equilibrium Road Network Capacity
IEEE Access
Transportation
equilibrium road network capacity
optimal origin-destination flow pattern
traffic assignment
title Modeling the Equilibrium Road Network Capacity
title_full Modeling the Equilibrium Road Network Capacity
title_fullStr Modeling the Equilibrium Road Network Capacity
title_full_unstemmed Modeling the Equilibrium Road Network Capacity
title_short Modeling the Equilibrium Road Network Capacity
title_sort modeling the equilibrium road network capacity
topic Transportation
equilibrium road network capacity
optimal origin-destination flow pattern
traffic assignment
url https://ieeexplore.ieee.org/document/8865098/
work_keys_str_mv AT pengzhang modelingtheequilibriumroadnetworkcapacity
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AT xuzhang modelingtheequilibriumroadnetworkcapacity
AT chunfushao modelingtheequilibriumroadnetworkcapacity
AT wencangao modelingtheequilibriumroadnetworkcapacity