UrbanVind CrowdFlow provides real-time passenger counting and flow analytics for public transit systems without requiring expensive hardware installations. The platform uses smart device detection to accurately map passenger boarding, exiting, and occupancy data across routes. This scalable data enables transit operators to optimize schedules and resource allocation based on precise demand patterns.
Funding
Funding not disclosed
Founders
Product
Problem
Transit agencies often struggle with incomplete and outdated data regarding passenger occupancy and origin-destination patterns, leading to inefficient route planning and resource allocation. Traditional methods of data collection, such as manual passenger counts or expensive hardware installations, are often inaccurate, costly, and difficult to maintain. This lack of real-time insights results in overcrowding during peak hours and a diminished passenger experience.
Solution
UrbanVind's CrowdFlow is a real-time passenger flow monitoring solution that provides transit operators with comprehensive data on bus occupancy and passenger travel patterns. The system leverages Bluetooth Low Energy (BLE) scanning technology to detect passengers' smart devices as they board and exit buses, instantly marking their boarding and drop-off stops. This data is then used to estimate bus occupancy and determine origin-destination matrices, providing a clear picture of how passengers use the transit service. CrowdFlow offers a simpler, more scalable, and cost-effective alternative to traditional Automatic Passenger Counters (APCs), empowering cities to manage their transit systems with accuracy and ease.
Target Audience
The primary target audience includes transit operators, city planners, and transportation managers seeking to optimize bus routes and schedules, reduce overcrowding, and improve the overall passenger experience.
Features
- Real-time passenger detection using Bluetooth Low Energy (BLE) scanning technology
- Automatic boarding and drop-off stop detection
- Bus occupancy estimation based on detected passenger devices
- Origin-destination (OD) matrix generation to visualize passenger travel patterns
- Driver app for easy deployment on existing work phones
- SDK for integration with existing Bluetooth-enabled hardware or driver apps
- Option for low-cost, easy-to-install hardware solutions like USB sticks
- Web dashboard for accessing and visualizing passenger flow data
- Integration with existing software systems via API