Bus AVL pings, bike-share dock occupancy, and parking sensors will feed one civic mobility application. What source pattern best describes this design?
Select an answer to reveal the explanation.
Short Explanation
Buses, bikes, and parking spots all phone home on their own. Stitch those M2M streams and you get a mobility app that sees the whole trip puzzle. Surveys and chat logs are not what the docks are broadcasting.
Full Explanation
Civic mobility applications commonly fuse multiple machine-to-machine telemetry classes—vehicle location, shared-micromobility docks, and parking occupancy. The pattern is multi-modal M2M sourcing into one analytical product. Replacing sensors with surveys alone, denying sensor sources, or substituting chat logs misses how modern transit apps are fed. Integration and time alignment across modes are the practical source challenges.