Granular, Atomic-Level Modeling 4.1.1 The solution must support atomic data modeling to enhance data granularity and integration. 4.1.2 For evacuation modeling, the system must simulate individual vehicle level decision points for each address, road segment, and intersection across all simulation runs. 4.1.3 The model must be capable of handling millions to billions of data points per run. 4.2 Dynamic Evacuation Optimization (DEO) 4.2.1 The solution must incorporate dynamic, map-based evacuation models that simulate real-time traffic flow and changing conditions (e.g., route closures, congestion). 4.2.2 These models must provide visualizations of evolving traffic patterns and support the development of optimized evacuation strategies that reduce delays and maximize public safety. 4.3 Monte Carlo Scenario Simulation 4.3.1 The solution must utilize Monte Carlo simulations to model billions of potential evacuation scenarios, accounting for variability in initial conditions. 4.3.2 Simulations should identify the most probable points of failure and outcome ranges, enabling planners to focus on the most critical risk factors. 4.3.3 This capability is considered essential for the level of planning accuracy required by the City...
