Modeling and solving dynamic traffic assignment problems in continuous time
Authors
Ma, Rui
ORCID
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Other Contributors
Ban, Xuegang
HolguÃn-Veras, José
Wang, Xiaokun (Cara)
Julius, Anak Agung
Pang, Jong-Shi
HolguÃn-Veras, José
Wang, Xiaokun (Cara)
Julius, Anak Agung
Pang, Jong-Shi
Issue Date
2013-12
Keywords
Civil engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Dynamic Traffic Assignment (DTA) is one of the most challenging problems in transportation science, aiming to provide detailed prediction of the time-varying traffic flows, measurement of time and cost and travel choices, so that time-varying operation strategies become possible. Different from its static counterpart, the DTA is challenging due to not only its conceptual complexity but also numerical difficulties. Being a specific problem in the DTA research, Dynamic user equilibrium (DUE) aims to predict future dynamic traffic states in a short-term fashion assuming travelers follow certain rational behavioral choices. However, comprehensive studies on continuous-time DUE are sparse in the literature. Another specific problem of the DTA is categorized as dynamic system optimum (DSO) or system optimal dynamic traffic assignment (SO-DTA). DSO predicts the optimal traffic states of a network under time-dependent traffic conditions from the perspective of the entire system. The DSO provides a benchmark for controlling and managing dynamic traffic networks.
Description
December 2013
School of Engineering
School of Engineering
Department
Dept. of Civil and Environmental Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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