The goal to capture a weighted health, that reflects the likely hood of frustration and overall desirability

Which means it needs to track events (late, early, cancelled, missing full - frustration) but thoes events should be scored/weighted by the situation. Below is the brainstormed idea for metrics:

Tracking:

• Time of day weighted (rush hour is more important)
• Last or only of the day, cancelation punishment
• Frequency (how often, and if this is a enduring problem) weighted
• Daily and weekly consecutive weight (pos/neg - back to backs, and every day same hour missing) but moderated by total wait time (1+ waits are punishing)
• Fullness weight (Overcrowding or fine)

• Bus List
  • L1/L2/L4 seperation
• Advance work to capture drops/service reductions

• Status Colour
  • late detected in the last 5min
  • on detour
• has Official alerts

• Rollover
• Car hitting car
• Car into building
• Car into object
• Car on fire
• Causalities
  • People (Important for advocacy)
• Landscape (10 Trees killed this year)

Human or dashcam observation

This document lists traffic violations that can be visually confirmed by a person standing on a sidewalk, riding a bike, or reviewing dashcam footage.

No assumptions about radar, speed guns, or internal vehicle data.

Let us brainstorm about what might be useful Fields to store in the database.

The application is initially collecting license plates, which will then train a model, which will then power a sophisticated speed trap camera on phones, which will then create clips/stills/ect, and hopefully, will auto detect the traffic infringements locally in near-ish real time.

Currently I have been working on the manual mode which is just uploading or taking still photos. But they'll be two automatic modes, which would involve walking/biking (dashcam like) with GPS and auto capturing videos/stills, automatically or via button press (rolling buffer)

All of this has to be planned for, and stuffed somewhere, so let's speculate.

• Total length
• Total time
• Number of stops
• Average of time between stops
• First bus time
• Last bus time
• Calendar (when it runs)
• Map (where it runs)