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GeoAware - A Simulation-based Framework for Synthetic Trajectory Generation from Mobility Patterns

Morgan, Jameson D.
http://rave.ohiolink.edu/etdc/view?acc_num=wright1607109295488049

Abstract Details

2020, Master of Science in Computer Engineering (MSCE), Wright State University, Computer Engineering.
Recent advances in location acquisition services have resulted in vast amounts of trajectory data; providing valuable insight into human mobility. The field of trajectory data mining has exploded as a result, with literature detailing algorithms for (pre)processing, map matching, pattern mining, and the like. Unfortunately, obtaining trajectory data for the design and evaluation of such algorithms is problematic due to privacy, ethical, dataset size, researcher access, and sampling frequency concerns. Synthetic trajectories provide a solution to such a problem as they are cheap to produce and are derived from a fully controllable generation procedure. Citing deficiencies in modern synthetic trajectory procedures, we propose a data-driven, seasonally-aware and simulation-based procedure that incorporates macro- and micro-level patterns from reference trajectories. The procedure is implemented as an alpha-release package; allowing an analyst to produce synthetic trajectories via the use of a modular coding framework and analysis tools.
Derek Doran, Ph.D. (Advisor)
Adam Nolan, Ph.D. (Committee Member)
Michael Raymer, Ph.D. (Committee Member)
152 p.
Computer Engineering; Computer Science
synthetics; traffic generators; MOGs; moving object generators; SUMO; synthetic trajectories; mobility patterns; trajectory generators; gps generators; calibration; demand calibration; simulation; transportation

Recommended Citations

Citations

  • Morgan, J. D. (2020). GeoAware - A Simulation-based Framework for Synthetic Trajectory Generation from Mobility Patterns [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1607109295488049

    APA Style (7th edition)

  • Morgan, Jameson. GeoAware - A Simulation-based Framework for Synthetic Trajectory Generation from Mobility Patterns. 2020. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1607109295488049.

    MLA Style (8th edition)

  • Morgan, Jameson. "GeoAware - A Simulation-based Framework for Synthetic Trajectory Generation from Mobility Patterns." Master's thesis, Wright State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1607109295488049

    Chicago Manual of Style (17th edition)

wright1607109295488049
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© 2020, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.