Parking Design AI
AI for optimizing parking structure and lot layouts.
Definition
Parking Design AI uses algorithms to optimize parking facility layouts for maximum capacity, efficient circulation, and user convenience. These systems can generate parking geometries, analyze traffic flow, ensure code compliance for accessible parking, and evaluate electric vehicle charging infrastructure requirements.
In Depth
Parking structure design involves the geometric layout (ramp angles, turning radii, stall dimensions, driving aisle widths), the structural system (long-span systems to maximize parking efficiency), and the code compliance (fire protection, ventilation, egress, accessibility). AI optimizes all of these simultaneously to maximize the car count within the building footprint.
The geometric optimization evaluates different floor plate configurations — single-threaded helix, double-threaded helix, split-level ramp, sloped floor — for the specific site dimensions and car count target. AI calculates the parking efficiency (cars per square foot of structure) for each configuration, identifying the layout that maximizes the car count while maintaining the required driving aisle widths and stall dimensions.
Examples
Optimizing parking structure layout for capacity
Analyzing traffic flow in parking garages
Designing EV charging infrastructure
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Parking Design AI uses algorithms to optimize parking facility layouts for maximum capacity, efficient circulation, and user convenience. These systems can generate parking geometries, analyze traffic flow, ensure code compliance for accessible parking, and evaluate electric vehicle charging infrastructure requirements.
Optimizing parking structure layout for capacity. Analyzing traffic flow in parking garages. Designing EV charging infrastructure.
Automated Code Compliance: Check drawings against 380+ building codes and standards with cited answers.