Ngoduy, D, Hoang, NH, Vu, HL et al. (1 more author) (2021) Multiclass dynamic system optimum solution for mixed traffic of human-driven and automated vehicles considering physical queues. Transportation Research Part B: Methodological, 145. pp. 56-79. ISSN 0191-2615
Abstract
Dynamic traffic assignment (DTA) is an important method in the long term transportation planning and management processes. However, in most existing system optimum dynamic traffic assignment (SO-DTA), no side constraints are used to describe the dynamic link capacities in a network which is shared by multiple vehicle types. Our motivation is based on the possibility for dynamic system optimum (DSO) to have multiple solutions, which differ in where queues are formed and dissipated in the network. To this end, this paper proposes a novel DSO formulation for the multi-class DTA problem containing both human driven and automated vehicles in single origin-destination networks. The proposed method uses the concept of link based approach to develop a multi-class DTA model that equally distributes the total physical queues over the links while considering explicitly the variations in capacity and backward wave speeds due to class proportions. In the model, the DSO is formulated as an optimization problem considering linear vehicle composition constraints representing the dynamics of the link capacities. Numerical examples are set up to provide some insights into the effects of automated vehicles on the queue distribution as well as the total system travel times.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. All rights reserved.This is an author produced version of an article published in Transportation Research Part B: Methodological. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Multi-class two regime transmission model; Dynamic system optimum; Physical queues; Mixed traffic networks; Automated vehicles |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Jan 2021 13:26 |
Last Modified: | 28 Jan 2022 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trb.2020.12.008 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169409 |