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Campus Shuttle — repository cover stating the stack, described as a research build

Campus Shuttle

Project description

A shuttle system that knows where the passengers are waiting

The Challenge

Campus shuttle services run on a fixed route and a driver's judgement, while demand concentrates and moves: one stop is empty when the timetable says it should be busy, and another has forty people watching a full bus go past. The schedule and the need are two different shapes.

The cheapest improvement is not more buses — it is information. Any intervention has to assume the fleet is already fully used, and it has to work for drivers and passengers who are not going to install something complicated.

The Solution

Model demand from where passengers actually are rather than from the timetable, then test whether a demand-responsive route beats a fixed one on the same fleet. The work is a study first and a product second: the notebook establishes what the data says before anything is built around it.

Skills and deliverables

ExpoReact NativeSupabasereact-native-mapsexpo-locationexpo-notificationsPython / Jupyter

Features delivered

Demand modelled from observed passenger behaviour, not from the timetableRoute comparison against the same fleet, rather than assuming more busesDriver and passenger coordination designed for a phone, not a control roomAssumptions stated explicitly wherever a number is estimated rather than measured

The hard part

Getting data at all. There is no telemetry on a campus shuttle, so the model is built from observed patterns and stated assumptions, and the study is explicit about which is which rather than presenting an estimate as a measurement.

The Impact

A research prototype: the demand model, the route comparison and the passenger-driver coordination concept, in notebooks that state their assumptions. It is a study and the record labels it as one.

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Where

Based in Lagos, Nigeria
Working with clients worldwide

Contact

Email : olaleke2004@gmail.com

Time

within 24 hours

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