Can transit support a conventional workday?
A morning journey to work and a return home after the destination activity.
Public architecture explainer
This simplified view shows how representative journeys connect walking, waiting, transit and public vehicle reports. It explains the structure without exposing private controls or live run records.
Three controlled questions
The agents share a common evidence approach, but each tests a different transit need. They are representative scenarios, not simulated residents or a sample of Toronto riders.
A morning journey to work and a return home after the destination activity.
A later journey tests whether service still supports work and the trip home.
A shorter outing with a tighter walking limit tests access to a pharmacy.
Interactive relationship map
Select a concept to see what it contributes and where its public interpretation must stop.
Select a concept to inspect it.
Core concepts
The approved question, purpose and broad journey boundary.
One controlled attempt to complete a scenario on a service day.
Mapped portions of the trip kept separate from live evidence.
A recent public-feed report that may support a journey transition.
What was observed, estimated, modelled or unavailable at one step.
The actions and public claims the experiment is not allowed to make.
One plain-language example
The experiment advances only when the journey plan and recent public transit evidence agree well enough under its private controls.
Evidence language
Reported directly by an approved public source.
Calculated from mapped conditions or stated assumptions.
Produced by a controlled scenario or decision rule.
Helps explain a place or condition without proving an outcome.
Public by design
This page is a static explainer. It does not connect to the private workspace or expose live agent records.
Controlled testing
This public explanation shows the journey-agent concepts and safeguards. Live records, operational rules and review controls remain inside the authenticated sandbox.