CrowdCast
An emergency-operations dashboard for city emergency managers and large event organisers that forecasts where crowds will surge in the next 6–48 hours during disruptions (hurricanes, transit shutdowns, mass evacuations) so resources can be pre-positioned.
US city emergency managers and large stadium/festival operations teams
- 6–48 hour crowd-flow forecast under named scenarios (hurricane landfall, transit outage, stadium evacuation)
- Resource-strain heatmap showing where shelters, water and transit get overloaded
- Auto sit-rep draft that turns the forecast into a paragraph-ready update for leadership
- What-if simulator: drop in a road closure or shelter change and see the flow update live
Hurricane seasons are intensifying and mass-event attendance is growing; legacy OD models break under disrupted mobility, which is exactly the gap the paper targets.
Global Emergency Operations Center software market valued at $1.98B in 2024 with 10.7% CAGR through forecast; Emergency Operations Planning Software market $1.44B in 2025 to $3.32B by 2034 at 9.8% CAGR; FEMA actively distributes free decision-support tools (HURREVAC) indicating real government-side demand for hurricane-driven crowd/evacuation intelligence.Emergency Operations Center Software Market Research Report 2033 ↗Emergency Operations Planning Software Market Research Report 2033 ↗
Established EOC platforms (Juvare WebEOC, Veoci, ESO) handle incident/comm/workflows but do not forecast 6–48h crowd surges under disruption; AI crowd-density tools (SurgeGuard-AI, PatronTrack-class systems) are CV-based real-time, not predictive OD; specific niche of predictive crowd-flow forecasting fused with emergency-ops pre-positioning appears genuinely underserved.WebEOC by Juvare | Trusted Emergency Management Software ↗SurgeGuard-AI - GitHub ↗
Government emergency managers buy enterprise EOC platforms (WebEOC, Veoci) with multi-year contracts typically in the tens-to-hundreds of thousands; large stadium/festival operators spend on AI crowd analytics per vendor case studies; however, public-sector procurement cycles are long and FedRAMP/security overhead is heavy, tempering near-term revenue velocity.WebEOC Software Pricing, Alternatives & More 2026 | Capterra ↗AI-Powered Crowd Density Prediction: How Machine Learning is ... ↗
Hurricane seasons are intensifying and mass-event attendance is growing structurally; FEMA hurricane preparedness is an institutionalized, multi-decade federal mission; climate-driven disruption frequency supports a long horizon for predictive tools tied to emergency operations.Hurricane Preparedness and Evacuation Planning - FEMA.gov ↗
The underlying technique (EventOD via LLM-guided OD flow generation) is a recent arXiv paper, not yet productionized; building reliable 6–48h crowd forecasts requires expensive mobility datasets and integration with existing EOC platforms (WebEOC, Veoci) — open-source prototypes exist but production-grade deployment to government EOCs is non-trivial.Top 9 Emergency Preparedness Software on the Market Today ↗