Public Transit Passenger Counting
Overview
Count passengers boarding and alighting public transit buses using video-based AI or infrared sensors integrated with GPS trackers. Correlate ridership data with routes, stops, and time of day to optimize schedules and capacity planning.
Challenges
- Manual passenger counting is labor-intensive and inaccurate
- Over-crowded buses cause passenger dissatisfaction and safety risks
- No data to justify adding or removing bus routes
- Revenue leakage from uncounted passengers
Benefits
- Automatic passenger counting at each stop with GPS correlation
- Occupancy rate dashboards by route, stop, and time of day
- Data-driven schedule optimization to match demand
- Revenue reconciliation with actual ridership data
Business Impact
- 20%
- Improvement in schedule efficiency
- 98%
- Passenger counting accuracy vs. manual
- 15%
- Revenue recovery from better occupancy tracking
Figures are typical results reported across fleet deployments and industry sources. Actual outcomes depend on fleet size, operating conditions and how the system is used.
Applies to
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