The usefulness of the Sequence Alignment Methods in validating rule-based activity-based forecasting models
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作者:
George Sammour
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机构:Hasselt University,Transportation Research Institute (IMOB), Faculty of Applied Economics
George Sammour
Tom Bellemans
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h-index: 0
机构:Hasselt University,Transportation Research Institute (IMOB), Faculty of Applied Economics
Tom Bellemans
Koen Vanhoof
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机构:Hasselt University,Transportation Research Institute (IMOB), Faculty of Applied Economics
Koen Vanhoof
Davy Janssens
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机构:Hasselt University,Transportation Research Institute (IMOB), Faculty of Applied Economics
Davy Janssens
Bruno Kochan
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机构:Hasselt University,Transportation Research Institute (IMOB), Faculty of Applied Economics
Bruno Kochan
Geert Wets
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机构:Hasselt University,Transportation Research Institute (IMOB), Faculty of Applied Economics
Geert Wets
机构:
[1] Hasselt University,Transportation Research Institute (IMOB), Faculty of Applied Economics
来源:
Transportation
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2012年
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39卷
关键词:
Activity-based models validation;
Sequence Alignment Methods;
Classification methods;
Process models;
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摘要:
This research paper aims at achieving a better understanding of rule-based activity-based models, by proposing a new level of validation at the process model level in the A Learning-based Transportation Oriented Simulation System (ALBATROSS) model. To that effect, the work activity process model, which includes six decision steps, has been investigated. Each decision step is evaluated during the prediction of the individuals’ schedules. There are specific decision steps that affect the execution pattern of the work activity process model. So, the comportment of execution in the process model contains activation dependency. This branches the execution and evaluation of each agent under examination. Sequence Alignment Methods (SAM) can be used to evaluate how similar/dissimilar the predicted and observed decision sequences are on an agent level. The original Chi-squared Automatic Interaction Detector decision trees at each decision step utilized in ALBATROSS are compared with other well known induction methods chosen to appraise the purpose of the analyses. The models are validated at four levels: the classifier or decision step level whereby confusion matrix statistics are used; The work activity trips Origin–Destination matrix level; the time of day work activity start time level, using a correlation coefficient; and the process model level, using SAM. The results of validation on the proposed process model level show conformity to all validation levels. In addition, the results provide additional information in better understanding the process model’s behavior. Hence, introducing a new level of validation incur new knowledge and assess the predictive performance of rule-based activity-based models. And assist in identifying critical decision steps in the work activity process model.
机构:
Los Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Chylek, Lily A.
Hu, Bin
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机构:
Los Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Hu, Bin
Blinov, Michael L.
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机构:
Univ Connecticut, Ctr Hlth, Ctr Cell Anal & Modeling, Farmington, CT 06030 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Blinov, Michael L.
Emonet, Thierry
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机构:
Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Emonet, Thierry
Faeder, James R.
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机构:
Univ Pittsburgh, Sch Med, Dept Computat & Syst Biol, Pittsburgh, PA 15260 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Faeder, James R.
Goldstein, Byron
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机构:
Los Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Goldstein, Byron
Gutenkunst, Ryan N.
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机构:
Univ Arizona, Dept Mol & Cellular Biol, Tucson, AZ 85721 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Gutenkunst, Ryan N.
Haugh, Jason M.
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机构:
N Carolina State Univ, Dept Chem & Biomol Engn, Raleigh, NC 27606 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Haugh, Jason M.
Lipniacki, Tomasz
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机构:
Polish Acad Sci, Inst Fundamental Technol Res, PL-02106 Warsaw, PolandLos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Lipniacki, Tomasz
Posner, Richard G.
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机构:
Translat Genom Res Inst, Clin Translat Res Div, Scottsdale, AZ 85259 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Posner, Richard G.
Yang, Jin
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机构:
Chinese Acad Sci, Shanghai Inst Biol Sci, Max Planck Soc Partner Inst Computat Biol, Shanghai 200031, Peoples R ChinaLos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Yang, Jin
Hlavacek, William S.
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机构:
Los Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
Translat Genom Res Inst, Clin Translat Res Div, Scottsdale, AZ 85259 USALos Alamos Natl Lab, Theoret Biol & Biophys Grp, Div Theoret, Los Alamos, NM 87545 USA
机构:
Pontificia Univ Catolica Rio de Janeiro, Dept Econ, BR-22453 Rio De Janeiro, BrazilUniv Granada, CITIC UGR, Dept Comp Sci & Artificial Intelligence, Res Ctr Informat & Commun Technol, E-18071 Granada, Spain