Passenger Counting Data: Fleet and Ticketing Optimization
Challenge
Higher fuel prices and a push for more sustainable cities have increased pressure on public transport operators to provide robust but well-contoured services to a more tech-savvy clientele. Basing strategic decision-making about fleet size and scheduling, routes, and customer trends on real-time footfall data and related KPIs can:
- Optimize operational efficiency
- Minimize operational costs
- Maximize passenger satisfaction
Solution
Automatic Passenger Counting (APC) systems count how many passengers enter or leave a vehicle, determine occupancy rates and, for trains, movement between classes in real time. A cornerstone of mobility solutions within smart cities, such systems help with:
- Monitoring the performance of transportation routes
- Adjusting vehicle deployment to match passenger demand
- Improving ticket pricing models and community fare settlement
Benefits
Such solutions, easily integrated within the existing operating systems used by transport operators, are essential for:
- Better understanding of passenger demographics
- Adjusting fleet and vehicle deployment
- Reducing operating costs by optimizing fleet size and staffing needs
- Facilitating interoperability between various systems
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