Research
Research & Development
FloodSafe focuses on building a real-world, climate-aware mobility system, with research directly supporting deployment and scaling.
1. Hazard-Aware Mobility (Core System)
Short Term (0–6 months)
Develop and deploy a routing system that identifies safe roads in real time under flood conditions, without relying on full physical simulation.
Mid Term (2 years)
Improve accuracy and reliability using accumulated data, enabling continuous adaptation across multiple urban environments.
Long Term (5 years)
Establish a generalized framework for mobility under uncertainty that can operate across cities globally.
2. Multi-Domain Movement (System Expansion)
Short Term (0–6 months)
Focus on ground mobility in flood-prone urban areas (cars, local traffic).
Mid Term (2 years)
Extend to interactions between different mobility types (vehicles, micro-mobility, logistics flows).
Long Term (5 years)
Integrate ground, air, and water mobility into a unified system responsive to climate conditions.
3. Human Behavior & Decision Dynamics
Short Term (0–6 months)
Observe and incorporate basic driver behavior under flood conditions into routing decisions.
Mid Term (2 years)
Model collective movement patterns and behavioral responses to risk and uncertainty.
Long Term (5 years)
Develop systems that account for human perception, decision-making, and adaptive behavior as part of mobility intelligence.
Approach
FloodSafe follows a build–test–learn approach grounded in real-world deployment. Research is not conducted in isolation; every concept is implemented, tested, and refined under actual operating conditions.
The system is developed iteratively, starting from a focused MVP in a high-intensity environment (Thao Dien, Ho Chi Minh City), where flood behavior, mobility disruption, and human response can be observed in real time. Each deployment generates data on road conditions, routing performance, and user behavior, which feeds directly back into system improvement.
Rather than relying on computationally intensive full-physics simulations, FloodSafe prioritizes practical feasibility — determining which paths remain usable and safe at any given moment. This enables fast, adaptive decision-making within real-world constraints and allows the system to scale efficiently across different cities.
The platform integrates multiple layers: hazard signals (rainfall, elevation, historical patterns), mobility dynamics (traffic flow, bottlenecks), and human behavior. These are combined into a unified framework that continuously updates as conditions evolve.
All research directions are validated through measurable outcomes, including route reliability, response time, and safety improvements under changing conditions. This ensures that progress is defined not only by theoretical advancement, but by real-world performance.
FloodSafe’s core technologies and system architecture are currently under development with intellectual property protection in progress, including U.S. Patent Pending filings. This reflects our commitment to building a defensible, scalable platform for climate-intelligent mobility.