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Network-oriented Household Activity Pattern Problem for System Optimization

Abstract The recently emerging trend of self-driving vehicles and information sharing technologies, made available by private technology vendors, starts creating a revolutionary paradigm shift in the coming years for traveler mobility applications. By considering a deterministic traveler decision making framework at the household level in congested transportation networks, this paper aims to address the challenges of how to optimally schedule individuals’ daily travel patterns under the complex activity constraints and interactions. We reformulate two special cases of household activity pattern problem (HAPP) through a high-dimensional network construct, and offer a systematic comparison with the classical mathematical programming models proposed by... (more)
Created Date 2017-06-15
Contributor Liu, Jiangtao (ASU author) / Kang, Jee Eun (Author) / Zhou, Xuesong (ASU author) / Pendyala, Ram (ASU author) / Ira A. Fulton Schools of Engineering / School of Sustainable Engineering and the Built Environment
Type Text
Extent 21 pages
Language English
Identifier DOI: 10.1016/j.trpro.2017.05.046 / ISSN: 2352-1465
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Citation Liu, J., Kang, J. E., Zhou, X., & Pendyala, R. (2017). Network-oriented Household Activity Pattern Problem for System Optimization. Transportation Research Procedia, 23, 827-847. doi:10.1016/j.trpro.2017.05.046
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS