Core capability across LETS-CROWD, evaGuide, SafePASS, and CrowdDNA — all involve predicting and managing crowd behavior in different environments.
CROWD DYNAMICS INTERNATIONAL LIMITED
UK SME specializing in crowd simulation, evacuation modeling, and AI-driven safety management for public spaces, cities, and maritime environments.
Their core work
Crowd Dynamics International is a Bath-based SME specializing in crowd simulation, evacuation modeling, and safety management for large-scale venues and critical infrastructure. They develop computational models and software tools that predict how crowds move, behave under stress, and evacuate in emergencies — across settings ranging from public spaces and smart cities to passenger ships. Their work sits at the intersection of safety engineering, AI-driven behavioral modeling, and real-time decision support for security and emergency services.
What they specialise in
evaGuide focused on real-time adaptive evacuation strategies; SafePASS on ship evacuation with dynamic routing; LETS-CROWD on security of crowded spaces.
SafePASS (their largest funded project at EUR 427,500) addressed next-generation evacuation on passenger ships, including lifeboats and personal survival equipment.
S4AllCities applied digital twins, VR, and machine learning to smart city security; CrowdDNA uses computer-assisted crowd management with motion analysis.
LETS-CROWD developed toolkits for law enforcement at crowded events; S4AllCities addressed protection of open spaces and cyber security in cities.
How they've shifted over time
Their early H2020 work (2017–2019) centered on physical security — toolkits for law enforcement, emergency evacuation of critical infrastructure, and protection of crowded facilities. From 2019 onward, the focus shifted toward digital technologies: AI, digital twins, virtual reality, and computer vision for crowd management, plus a notable expansion into maritime evacuation. The trajectory shows a company moving from advisory/consulting-style safety work toward technology-driven, data-intensive simulation and prediction tools.
They are steadily digitizing their core crowd safety expertise — expect future work in AI-powered real-time crowd monitoring, predictive evacuation, and smart city security platforms.
How they like to work
CDIL consistently participates as a specialist partner rather than leading consortia — all five projects are in a participant role, suggesting they bring deep domain expertise (crowd modeling) into larger teams. With 71 unique partners across 15 countries, they are well-networked and comfortable working in diverse, multi-country consortia. Their broad partner base indicates they are sought after as a niche contributor rather than locked into a single partnership cluster.
Extensive network of 71 unique consortium partners across 15 countries, indicating wide demand for their crowd simulation expertise across security, transport, and smart city domains. Their geographic spread suggests strong pan-European recognition as a go-to partner for crowd behavior modeling.
What sets them apart
Very few SMEs combine deep computational crowd simulation expertise with hands-on experience across security, maritime, and urban safety domains. Their ability to apply the same core modeling capability — how people move and behave in crowds — to law enforcement scenarios, ship evacuations, and smart city management makes them unusually versatile. For consortium builders, they fill a specific and hard-to-replace niche: realistic human behavior simulation under emergency conditions.
Highlights from their portfolio
- SafePASSLargest funding (EUR 427,500) and their only transport-sector project, extending crowd simulation expertise into maritime evacuation — a distinctive cross-sector application.
- CrowdDNATheir most recent and longest-running project (2020–2024), focused on computer-assisted crowd management with motion analysis and AI — signals their current strategic direction.
- S4AllCitiesMarks their entry into digital twins, VR, and machine learning for smart city security — a clear technology upgrade from their earlier toolkit-oriented projects.