Modelling increasingly dynamic and complex mobility services requires significant extensions to our conventional agent-based microsimulation (ABM) model systems.

A first key aspect focuses on explicit modelling of more complex and dynamic service provision processes, involving several operational activities conducted by service providers (e.g., matching, fleet rebalancing, dynamic pricing, etc.).

A second key aspect consists of explicit modelling of human-driven fleets (e.g., most ridehailing services in current practice) in terms of the decisions drivers make to participate in the system throughout a workday.

A third key aspect consists of establishing information flows and a model system structure that can accommodate a MaaS environment.

This first stage of research efforts provides a comprehensive framework to model emerging mobility services at a level of detail appropriate to their complexity. Implementation of such a framework is then conducted at a second stage of comprehensive research efforts to model a human-driven ridehailing mobility service. Despite strong data limitations for modelling, results demonstrate the framework’s capability of replicating key observed patterns of service metrics such as wait times, and fleet availability, as well as driver’s participation patterns in the system.

Dr. Francisco Calderón earned his Civil Engineering bachelor’s degree from the University of Cuenca, Ecuador and has design and field working experience in the areas of structures, geotechnical, and transportation. By 2017, Francisco obtained his Master of Engineering degree in Cities Engineering and Management, specializing in Transportation Systems, at the University of Toronto. Francisco continued his graduate studies pursuing a PhD in Transportation Modelling at the University of Toronto, under the supervision of Professor Eric Miller. His final thesis defense was held on November 2020. His main research focus consisted of modelling mobility services and Mobility as a Service (MaaS) within conventional agent-based microsimulation travel demand model systems, emphasizing on a supply-side perspective and detailed modelling of service provision processes.

Presented by University of Toronto ITE Student Chapter, UT-ITE. All are welcome.

If any specific accommodations are needed, please contact ite@utoronto.ca. Requests should be made as early as possible.

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