Create a demand dashboard for modern jeepney routes
Turn messy commuter and operator signals into route-level insights that help modern jeepney fleets plan trips.
Problem
What needs solving
Operators need to know when and where demand spikes, but ridership signals are scattered across dispatcher notes, driver experience, payment data, and commuter complaints.
Why it matters
The Philippine context
Better dispatching can reduce long waits for commuters and improve earnings for drivers without adding unnecessary trips.
Challenge brief
Your task
- *Design a route dashboard that shows peak demand, undersupplied stops, and schedule gaps.
- *Include a data collection approach that does not assume every vehicle has advanced hardware.
- *Explain what actions an operator should take after seeing your dashboard.
Output
What to submit
- *Dashboard mockup or working analytics prototype.
- *Sample route scenario and recommended decisions.
- *Data reliability and privacy notes.
Eligibility
Who can join
- *Open to students interested in transport, analytics, civic tech, or operations.
- *Teams may submit either a product prototype or analytics case study.
- *Use public or synthetic data unless you have permission to use real data.
Timeline
Important dates
Brief opens
June 12, 2026
Submission deadline
July 26, 2026
Operator feedback
August 5, 2026
Judging
How strong submissions stand out
Decision usefulness for operators.
Clarity for non-technical transport teams.
Handling of incomplete data.
Impact on commuter wait time and driver economics.
Build for the brief, not for a resume screen.
This placeholder page is focused on understanding the problem and reward. Submission actions can be added once the final Challenge PH flow is ready.