Corporate Security managers and Emergency Response Teams sometimes need to guess the possible whereabouts of a person on a map from their Last Known Location to provide intelligence or assistance.
How could this kind of information be visualized using our current Mapbox platform?
Mapbox had introduced a really neat set of AI-based Ischrone APIs from their platform to provide such a visualization. It could display granular "travel time polygons", known as "isochrones" that accounted for road networks and current traffic conditions and display realtime visualizations to show where a person might be if they were walking, cycling or driving a car.
Using these API endpoints, I created several real-time simulations using Javascript of this capability on a working prototype with domain experts to evaluate. We wanted to know exactly how this would be valuable, in what context and how might it best be adapted to current "jobs to be done".
The proof-of-concept was successful in generating final mockups and a complete feature description that could be added to the current mapping platform for the Agile team to start work on.
Javascript, Mapbox platform, Figma for final designs, Maze.co for remote testing and feedback
