Real-time occupancy intelligence, built on trusted partners
Explore the research, data partners and open standards behind PeopleSense, read our latest white paper on emergency alerting, and dive into the APIs that bring real-time and predictive occupancy data to your own projects.
Credits and acknowledgments
The work behind PeopleSense draws on public-safety data, open emergency-messaging standards and real transit and campus scenarios. We gratefully acknowledge the organizations below.
Lead credit
Technology, platform and poster work by PeopleSense.AI and Glocol Networks, from real-time occupancy intelligence to emergency alerting.
Sacramento State
Campus emergency-alerting scenario used to model crowd movement and alert delivery.
Logo per university guidelinesOASIS Open
Open standards for emergency messaging that keep alerts interoperable across systems.
Logo pending OASIS permission
USGS / ShakeAlert
Earthquake early-warning science and data that inform the earthquake scenario.
Data source& ACE Rail
Capitol Corridor and ACE Rail
Regional rail scenario showing how occupancy and alerts reach riders in transit.
Logo pending agency approvalIAEM
This work was presented as a poster at IAEM. IAEM is the venue, not a research collaborator.
Text credit onlyCAL FIRE
Wildfire alerting context for evacuation and public-notification scenarios.
Sample entry, confirm before publishingContributor affiliations
Affiliations identify where individual contributors are based. An individual's participation does not establish institutional endorsement. All trademarks and logos belong to their respective owners, and acknowledgment does not imply endorsement.
Real-Time Occupancy Intelligence for Emergency Alerting
Abstract
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Developer’s Playground
Hands-on documentation for the three services behind PeopleSense. Each comes with example requests and responses so you can connect real-time and predictive occupancy data to your own projects.
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.