Route choice behavior in Mobility-as-a-Service (MaaS) systems are governed by very different factors than conventional transportation systems; instead of the link cost being dependent on flow, it is the capacity. This study with Susan Jia Xu introduces “congestible capacities” in route choice and shows how we can model this phenomenon using flow-capacity input-output systems of equations and estimate their parameters in an offline-online estimation method. Data from Citi Bike are used to demonstrate this approach and show that online route choice models that account for congestible capacities are more accurate and can explain the observed changes in MaaS systems.

The study was funded by NSF CMMI-1634973 and CMMI-1652735.
https://ieeexplore.ieee.org/document/9520135