Dynamic activity-travel assignment in multi-state supernetworks |
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Institution: | 1. School of Economics and Management, Beihang University, Beijing 100191, PR China;2. Urban Planning Group, Eindhoven University of Technology, Eindhoven, PO Box 513, 5600 MB, The Netherlands;1. Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan;2. Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima 739-8529, Japan;1. Research Centre for Integrated Transport Innovation, School of Civil and Environmental Engineering, UNSW Australia, Sydney, NSW 2052, Australia;2. Argonne National Laboratory, 9700 S Cass Ave Lemont, IL 60439, United States |
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Abstract: | The integration of activity-based modeling and dynamic traffic assignment for travel demand analysis has recently attracted ever-increasing attention. However, related studies have limitations either on the integration structure or the number of choice facets being captured. This paper proposes a formulation of dynamic activity-travel assignment (DATA) in the framework of multi-state supernetworks, in which any path through a personalized supernetwork represents a particular activity-travel pattern (ATP) at a high level of spatial and temporal detail. DATA is formulated as a discrete-time dynamic user equilibrium (DUE) problem, which is reformulated as an equivalent variational inequality (VI) problem. A generalized dynamic link disutility function is established with the accommodation of different characteristics of the links in the supernetworks. Flow constraints and non-uniqueness of equilibria are also investigated. In the proposed formulation, the choices of departure time, route, mode, activity sequence, activity and parking location are all unified into one time-dependent ATP choice. As a result, the interdependences among all these choice facets can be readily captured. A solution algorithm based on the route-swapping mechanism is adopted to find the user equilibrium. A numerical example with simulated scenarios is provided to demonstrate the advantages of the proposed approach. |
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Keywords: | Dynamic activity-travel assignment Dynamic user equilibrium Multi-state supernetwork Activity-travel link/path disutility |
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