CarCrowdNow

CarCrowdNow is a mobile + web app that shows real-time crowding by train car, not just by station. It combines three signals: (1) onboard passenger-count sensors where agencies expose them, (2) anonymized device density from opt-in riders (Bluetooth/Wi‑Fi beacons and motion patterns), and (3) platform camera feeds where permitted, processed into low-resolution occupancy estimates. Riders get a simple “best boarding position” indicator for their station (front/middle/back) and a per-car heatmap for the arriving train, plus alerts when their usual train is unusually packed. Agencies get a dashboard to spot chronic overload by trip and car, and to validate whether schedule changes actually reduce crowding. Reality check: coverage will be patchy at first, and accuracy depends on partnerships and opt-in rates; the MVP should focus on one city/line and prove reliability before expanding.