Valuing Autonomy in Micro Mobility
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Team Members
Evgeny Moshkovich, Justin Kaull, Justin Kahl, Skyler Mclean
Faculty Mentor
Markus Pelger
The Client: Rollo
Rollo is a micro mobility company based in Los Angeles. They are developing scooters with autonomous driving technology.
The Problem to Solve
As an autonomous redistribution and smartphone-based ride hailing business, the team sought to help Rollo answer the following questions:
- What is the economic benefit of autonomy for a scooter company?
- How many fewer autonomous scooters would Rollo need to satisfy the same rider demand compared to a traditional scooter fleet?
Engineering a Solution
Tools and Methodologies
The team used a Gaussian mixture model to analyze competitor data and access ride demand by cluster points. This model helped them:
- Quantify how many scooters can be taken off the streets while still allowing Rollo to satisfy current demand and forecasted demand through linear optimization modeling.
- Determine how much money Rollo can save by using autonomous driving technology through unit economics modeling.