Abstract
In this paper, a combined model of auto-transit assignment is introduced based on two complementarity formulations in the literature. The model accounts for interactions between the auto and transit modes through non-separable asymmetric demand and cost functions. A path-based solution algorithm is presented based on the three ideas of decomposition, column generation, and linearization, which have proved to be effective in tackling large-size networks. Numerical results over the Chicago sketch network suggest that the algorithm converges quickly within the first iterations, but is less effective as the solution gets closer to the neighborhood of the equilibrium solution. The sluggish convergence behavior is attributed to the difficulty of searching the space of strategy-based transit assignment model.
Original language | English (US) |
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Pages (from-to) | 384-397 |
Number of pages | 14 |
Journal | Transportation Research Record |
Volume | 2673 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1 2019 |
Funding
The authors are grateful to the three anonymous reviewers for their valuable insights and comments on this paper. The third author’s work was partially funded by U.S. National Science Foundation under the award number CMMI-1402911.
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering