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A Sequential Decomposition Approach and Integrating the Concepts for Super-Networks in the Activity-Based Models

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Progress in Intelligent Decision Science (IDS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1301))

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Abstract

In this paper, a sequential decomposition method to model the travel behavior of individuals in a mixed transportation network (transit and roads) is proposed. A mixed binary model is developed assuming the mode choice of the individuals depend on the accessibility level for different modes and parking fees of the vehicles at different locations, where the parking fees vary depending on the demand level and time of day. The efficiency of the proposed model is tested using simulated data. It is shown that by slicing the activity patterns and parallelizing some segments of the algorithm, the computation time increases linearly as the population size increases.

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Author information

Authors and Affiliations

  1. The City College of New York, 160 Convent Avenue, New York, NY, 10031, USA

    Mahdieh Allahviranloo

Authors
  1. Mahdieh Allahviranloo
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Correspondence to Mahdieh Allahviranloo .

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Editors and Affiliations

  1. Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey

    Tofigh Allahviranloo

  2. Faculty of Engineering and Natural Sciences, Bahçeşehir University, Istanbul, Turkey

    Soheil Salahshour

  3. Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey

    Nafiz Arica

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Allahviranloo, M. (2021). A Sequential Decomposition Approach and Integrating the Concepts for Super-Networks in the Activity-Based Models. In: Allahviranloo, T., Salahshour, S., Arica, N. (eds) Progress in Intelligent Decision Science. IDS 2020. Advances in Intelligent Systems and Computing, vol 1301. Springer, Cham. https://doi.org/10.1007/978-3-030-66501-2_7

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