Parking Assistance System with Dynamic Service Boundary Geometry
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Solution Overview
Problem
Existing parking assistance systems are agnostic to the dynamic service boundaries of shared vehicle service providers, leading to inefficiencies in finding parking spots within service areas, as they do not account for changing service area geometries, which affects parking spot availability and traffic congestion.
Innovation Solution
A system that receives and updates service boundary geometry data from shared vehicle service providers, using this information to provide on-street parking predictions and recommendations, incorporating time-dependent parking patterns and load balancing models, and notifies users of changes in service boundaries and parking options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users search for parking spots within service area boundaries, then parking spot availability is ensured, but user search time increases considerably
Solution Approach 1:
The system pre-calculates and stores optimal parking spots within service boundaries before users need them. When a user requests parking assistance, the system immediately retrieves pre-computed recommendations rather than searching in real-time, thus ensuring reliable parking spot availability while minimizing user search time.
Solution Approach 2:
The system dynamically adjusts parking recommendations based on real-time conditions such as current location, service boundary changes, and traffic patterns. This allows the system to maintain high reliability by adapting to changing conditions while keeping response time low through efficient dynamic re-calculation algorithms.
2Reliability
If multiple users search for parking spots within service areas, then parking spot availability is improved, but road congestion increases
Solution Approach 1:
The system pre-identifies and recommends optimal parking spots to multiple users before they arrive at the service area. By providing advance parking recommendations, users can navigate directly to designated spots rather than circling and searching, thus ensuring parking availability for multiple users while minimizing the harmful effect of road congestion.
Solution Approach 2:
The system implements feedback mechanisms where parking spot availability and usage patterns are continuously monitored and fed back into the recommendation algorithm. This allows the system to optimize parking assignments for multiple users in real-time, ensuring high availability while distributing users across different parking locations to reduce congestion on specific road links.
3Area of stationary object
If service boundaries are expanded to cover more regions, then service coverage is improved, but parking spot availability within boundaries becomes scarcer
Solution Approach 1:
When service boundaries are expanded, the system segments the large service area into multiple zones or regions with different parking characteristics. This allows the system to manage parking spot availability more effectively across the expanded area by providing zone-specific recommendations, thus maintaining reliability even as coverage increases.
Solution Approach 2:
The system dynamically adjusts parking recommendations based on the user's specific location within the expanded service boundary. By considering local parking availability, traffic conditions, and user preferences, the system maintains high reliability of parking spot availability across the entire expanded service area rather than providing generic recommendations.
Data Source
AI summary
A system, method, and computer program product may be provided for providing on-street parking predictions. A system may include a memory configured to store computer program code instructions; and a processor configured to execute the computer program code instructions to receive service boundary geometry data for a service boundary from one or more shared vehicle service providers; provide on-street parking predictions, based on the received service boundary geometry data; and render a representation of the on-street parking predictions on a user interface of a user device. The processor may be further configured to receive a modification for the service boundary geometry data via the user interface of the user device; update the on-street parking predictions based on the modified service boundary geometry data; and update the representation of the on-street parking predictions on the user interface of the user device, based on the updated on-street parking predictions.