Modeling multi-modal transportation network emergency evacuation considering evacuees' cooperative behavior

Authors
Yang, Xia
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Other Contributors
Ban, Xuegang
Holguín-Veras, José
Wang, Xiaokun (Cara)
Mitchell, John E.
Issue Date
2016-08
Keywords
Transportation 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.
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Abstract
With the prevalence of new social media (such as Facebook, Twitter, among others) and the emerging technology of connected and automated vehicles, drivers will be more and more connected and cooperative on transportation networks. This will enable evacuation planners and operators to dynamically guide the evacuation for the benefits of the entire system, which provides us with the motivation to model emergencies evacuation using the dynamic system optimum (DSO) principle. While assuming all evacuees following the DSO principle, the research focuses on developing a macroscopic multimodal evacuation modeling framework, which can achieve a balance between computation efficiency and modeling details, and proposing solution algorithms for large-scale evacuation problems.
Description
August 2016
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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