Welcome to the Developers Playground! Here, you can explore our comprehensive documentation for three powerful services designed to enhance your projects with real-time and predictive occupancy data. Dive into the details below:
1. PeopleSense Transit
PeopleSense Transit provides an API to access real-time occupancy data for transit systems based on GTFS standards. This service offers detailed information on occupancy percentages and statuses, along with live coordinates of transit vehicles.
Key Features:
- Real-Time Data: Get up-to-the-minute occupancy information.
- GTFS Integration: Seamlessly integrates with GTFS-Realtime protocols.
- Secure Data Transfers: Ensures data security with HTTP/HTTPS protocols.
- OpenAPI Specification: Follows OpenAPI standards for clarity and ease of use.
Example API Request:
GET /occupancy?transit_no=321
Headers:
{
"api-key-header": "API_KEY"
}
Response Format:
[
{
"Transit_Number": "321",
"Consist_Number": "2101",
"Car_Number": "8012",
"Car_Position": "1",
"Time": "2021-11-23 06:50:52",
"Latitude": "37.8735145",
"Longitude": "-122.302959833",
"Occupancy_Percent": 12,
"Occupancy_Status": "NEARLY EMPTY"
}
]
2. PeopleSense Places
PeopleSense Places offers a similar API service for static locations, providing occupancy data in the form of heatmaps. This service is ideal for monitoring occupancy in various environments such as schools, airports, exhibition halls, shopping malls, and more.
Key Features:
- Heatmap Visualization: Visualize occupancy data as heatmaps.
- Versatile Applications: Suitable for a wide range of static locations.
- Secure and Reliable: Ensures data integrity and security.
Example Use Cases:
- Schools: Monitor classroom and campus occupancy.
- Airports: Track passenger density in terminals.
- Exhibition Halls: Manage crowd flow during events.
- Shopping Malls: Analyze foot traffic patterns.
3. PeopleSense GenAI
PeopleSense GenAI leverages pre-trained GenAI models to provide time series forecasting and predictions of occupancy data. This service allows you to develop profiles based on client preferences for accurate and insightful occupancy predictions.
Key Features:
- AI-Driven Predictions: Utilize advanced GenAI models for forecasting.
- Customizable Profiles: Tailor predictions to specific client needs.
- Time Series Analysis: Gain insights from historical occupancy data.
Example Use Cases:
- Event Planning: Predict crowd sizes for better resource allocation.
- Facility Management: Optimize space usage based on occupancy trends.
- Retail Analytics: Forecast customer visits for inventory planning.
What's New!!
We are excited to announce our partnership with the United States Geological Survey (USGS) to integrate earthquake-related information into our services. Our APIs will soon include real-time earthquake data, enhancing our offerings with disaster-related information. Stay tuned for more updates as we continue to expand our services to provide comprehensive and reliable data solutions.
