Dynamic activity-travel assignment in multi-state supernetworks

Peng Liu, Feixiong Liao, Hai-Jun Huang () and Harry Timmermans

Transportation Research Part B: Methodological, 2015, vol. 81, issue P3, 656-671

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.

Keywords: Dynamic activity-travel assignment; Dynamic user equilibrium; Multi-state supernetwork; Activity-travel link/path disutility (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (16)

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DOI: 10.1016/j.trb.2015.08.006

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