Modeling Concurrent Day-to-Day Departure Time and Route Choices With Multiple Micro-Preferences

Abstract

Day-to-day traffic dynamics is to model the day-to-day evolution of travelers' travel choices, which helps to understand the aggregate traffic evolution of a non-equilibrium network and then develop scientific managements. This topic is attracting increasing interests. In the literature, day-to-day route and departure time choices are usually addressed separately; and the existing models commonly adhere to the rational behavior adjustment criterion (RBAC), but pay little attention to extra behavior preferences. In this article, we formulate the day-to-day departure time and route choices in a united model. Moreover, besides the RBAC, three microscopic behavior preferences (i.e., simplicity-seeking, proximity-prone and marginal cost preference) are suggested for modeling. The problem is formulated as a discrete-time dynamics named by the day-to-day departure time and route adjustment process (DTRAP). Basic properties of the model are verified theoretically; and numerical results indicate that the suggested micro-preferences have significant impact on traffic evolution. Thus, serious treatment and more in-depth research attention need to be laid on these micro-preferences for obtaining scientific understanding on the day-to-day network traffic evolution or for avoiding ineffective (or even wrong) traffic managements.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 3 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.