Dynamic Traffic Assignment in Design and Evaluation of High-Occupancy Toll Lanes

Author(s):  
Ahmed F. Abdelghany ◽  
Khaled F. Abdelghany ◽  
Hani S. Mahmassani ◽  
Pamela M. Murray

Application of a dynamic traffic assignment-simulation methodology to the analysis and evaluation of network performance under various schemes for the design and operation of high-occupancy toll (HOT) lanes is described. The DYNASMART traffic simulation-assignment model, which combines the ability to simulate traffic flow and to represent dynamic route choice behavior, is used to model the problem. Different dimensions for the design and operation of HOT lanes are considered in this study, including ( a) lane utilization in terms of adding a new lane or using an existing lane of the facility as a HOT lane; ( b) physical separation of the HOT lane in terms of access point frequency; ( c) access restriction based on vehicle occupancy; ( d) HOT lane pricing structure, which may be fixed or congestion dependent; and ( e) different demand levels with different percentages of high-occupancy vehicles (HOV). A set of experiments was designed to compare the performance of the HOT lanes and the total network under these different operating characteristics. A network in Texas that represents the south central part of the Fort Worth area is used in these experiments. The results were analyzed under each of these different operating characteristics, yielding useful insights for the design and evaluation of HOT lanes.

2014 ◽  
Vol 587-589 ◽  
pp. 2040-2044
Author(s):  
Lu Zhang

At the beginning the paper summarizes the research status,models and algorithms of dynamic traffic assignment and analyzes the relationship between dynamic user optimal model and variational inequality.Secondly,a dynamic user optimal model of traffic assignment based on optimal signal timing is established,equivalent model of the variational inequality is built at the same time.Finally,we discuss the superiority of the model and apply this model to a simple example,the results show that the model can improve the network performance significantly.


2004 ◽  
Vol 4 (3) ◽  
pp. 291-315 ◽  
Author(s):  
Younes Hamdouch ◽  
Patrice Marcotte ◽  
Sang Nguyen

2021 ◽  
pp. 1-11
Author(s):  
Xun Ji ◽  
Chunfu Shao

Frequent occurrence of urban rainy weather, especially rainstorm weather, affects transportation operation and safety, so it is essential that effective intervention measures to recover disordered traffic be adopted and then analyzed for their influence on the dynamic network. Therefore, models and algorithm to show dynamic traffic flow of traffic network in rainy weather are a fundamental need and have drawn great interest from governments and scholars. In this paper, innovative content contains a travel cost function considering rainfall intensity; considering the travel cost function, a dynamic traffic assignment model based on dynamic rainfall intensity is built. Then a corresponding algorithm is designed. Moreover, this study designs three scenarios under rainfall and analyzes the influence of the rainfall on an example network. The results show that rainfall has a significant effect on traffic flow. The finding proved the proposed models and algorithm can express the development trend of path flow rate on a dynamic network under rainfall.


2011 ◽  
Vol 31 (4) ◽  
pp. 521-545 ◽  
Author(s):  
Luc Wismans ◽  
Eric Van Berkum ◽  
Michiel Bliemer

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