Parking Guidance With Global Spot Assignment for Multi-Vehicle Flow
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Solution Overview
Problem
Existing vehicle parking guidance systems fail to provide globally optimized, dynamic turn-by-turn instructions for multiple vehicles in crowded parking facilities, often leading to inefficiencies and conflicts due to single-vehicle-based solutions that do not account for real-time changes and multiple vehicles' interactions.
Innovation Solution
A system utilizing security cameras to track vehicles and implement a global optimization algorithm that dynamically assigns vehicles to the best parking spots based on real-time data, considering factors like vehicle type, size, and destination, using the Hungarian method to optimize assignments and provide turn-by-turn directions at checkpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single-vehicle-based parking assignment system is used, then the system complexity is low and ease of operation is maintained, but the productivity of parking spot utilization deteriorates and loss of time increases due to suboptimal assignments
Solution Approach 1:
The parking structure is divided into multiple zones with different characteristics (e.g., distance to destination, lighting conditions, accessibility). The system segments the parking area into hierarchical levels and zones, allowing optimized assignment within each segment while maintaining overall system efficiency. This reduces the computational complexity of global optimization by breaking it into manageable regional optimizations.
Solution Approach 2:
The system performs preliminary assignment of parking spots to vehicles before they enter the parking structure. Using predictive algorithms, it pre-calculates optimal spot assignments based on vehicle type, destination, and current parking availability. This preliminary action enables efficient routing instructions to be provided at entry points, reducing in-structure navigation complexity and improving overall productivity.
2Productivity
If dynamic reassignment of parking spots is implemented for multiple vehicles, then the productivity and fairness of parking allocation is improved, but the device complexity and difficulty of detecting and measuring system state increases
Solution Approach 1:
The system implements continuous feedback loops where parking spot status, vehicle locations, and assignment compliance are constantly monitored and fed back to the optimization algorithm. This real-time feedback enables dynamic reassignment when spots become available or when vehicles deviate from assigned spots, maintaining high productivity and fairness without requiring overly complex measurement systems.
Solution Approach 2:
The system uses intermediary detection points such as camera systems at zone boundaries and RFID readers at parking spots to simplify vehicle tracking. These intermediaries provide discrete location data without requiring continuous complex monitoring of every vehicle movement, reducing the overall difficulty of detecting and measuring system state while maintaining effective dynamic reassignment capability.
3Ease of operation
If turn-by-turn navigation instructions are provided to vehicles, then the ease of operation is improved, but the loss of time increases due to frequent route updates and re-routing
Solution Approach 1:
The system provides complete turn-by-turn navigation instructions to vehicles at the moment of parking assignment, before they enter the parking structure. This preliminary provision of full routing information eliminates the need for frequent updates during vehicle traversal, maintaining ease of operation while minimizing time loss from route updates. The initial instructions are optimized to account for predicted parking spot availability and vehicle movement patterns.
Data Source
AI summary
A plurality of trigger points within the parking facility are monitored for trigger events. For each trigger event detected within the parking facility, a respective optimal parking spot is determined, using a global optimization algorithm, for each respective vehicle of a plurality of vehicles within the parking facility that have not yet parked in a parking spot. The optimal parking spots are then assigned to each respective vehicle. Guidance is then provided, to each respective vehicle of the plurality of vehicles, at one or more checkpoints within the parking facility.