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Data Engineering Path  ·  Data Modelling
PARKING SYSTEM CASE STUDY

Step 1: Problem Statement Analysis (Parking Lot)

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Core Product Features

A commercial multi-level parking lot management platform must coordinate:

  1. Infrastructure Directory: Managing multiple parking structures (lots), multi-level floors, and individual parking spots.
  2. Spot Allocation Engine: Assigning vehicles to appropriate spots based on size/classification (e.g., Handicapped, Electric Vehicle, Compact, Motorcycle, Large).
  3. Real-time Occupancy Tracker: Recording active spot status (AVAILABLE, OCCUPIED) fed by ultrasonic sensor hardware logs.
  4. Ticketing & Entry/Exit Logs: Generating unique tickets with entry timestamps, active gate allocations, and exit logs.
  5. Dynamic Billing & Payment Gateway: Calculating pricing based on hours parked, dynamic multipliers (weekend surge, special event pricing), and logging transactions.

⚠️ Key Technical Challenges

  • Race Conditions on Spot Allocation: Preventing two drivers from attempting to claim and book the same single parking spot simultaneously under high-concurrency peak hours.
  • Vehicle & Spot Type Compatibility Matching: Ensuring a heavy-duty Truck is never allocated to a compact-only parking space, or a gasoline SUV is never parked in an EV-charging spot.
  • Dynamic, Multi-tier Rate Engine: Accurately calculating charges based on duration slabs (e.g., first hour free, next 2 hours at base rate, 4+ hours at premium multiplier, with overnight caps).

Business Rules

  • A parking spot can host at most one active vehicle at any given time.
  • Electric vehicle charging spots incur a flat connection premium in addition to standard hourly parking rates.
  • Monthly pass-holder accounts bypass the ticket-generation flow and enjoy automatic gate clearance via License Plate Recognition (LPR) scans.
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