Parking Lot Design AI
AI optimization of parking lot layout and stormwater management.
Definition
Parking Lot Design AI optimizes parking lot layouts for efficient circulation, maximum capacity, and stormwater compliance. It designs drive aisles, parking stall layouts, accessible parking, and site drainage to create functional parking facilities.
In Depth
Surface parking lot design involves the geometric layout (stall dimensions, drive aisle widths, traffic flow), the civil engineering (grading, drainage, stormwater management), and the code compliance (accessible parking, fire lane access, landscaping requirements). AI optimizes the layout to maximize the car count while meeting all site requirements.
The stall layout optimization evaluates different configurations — 90-degree, 60-degree, and 45-degree parking — for the specific lot geometry, determining which configuration produces the most stalls with adequate drive aisle widths and efficient traffic circulation. AI accounts for the accessible parking stall requirements (number, location, van-accessible stalls) and the fire lane access requirements that reduce the paving area available for parking.
Examples
Optimizing parking layouts
Designing accessible spaces
Planning stormwater management
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Parking Lot Design AI optimizes parking lot layouts for efficient circulation, maximum capacity, and stormwater compliance. It designs drive aisles, parking stall layouts, accessible parking, and site drainage to create functional parking facilities.
Optimizing parking layouts. Designing accessible spaces. Planning stormwater management.
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