Automatic Parking Platform Congestion Control via Dynamic Routing
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Solution Overview
Problem
Existing automatic entry-exit systems for autonomous parking services are insufficient in reducing congestion at platforms, as simply proposing a change in exit time does not effectively mitigate high congestion levels.
Innovation Solution
The system includes a congestion degree determination unit and an alternative solution proposal unit that suggests using a less congested platform or proposing carpooling when high congestion is detected, allowing vehicles to enter and exit through autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system simply proposes a change in exit time when congestion is high, then the user can avoid peak congestion periods, but the overall congestion reduction effect is insufficient
Solution Approach 1:
The system segments the platform resource into multiple alternative platforms. When the requested platform has high congestion, the system divides the user flow by proposing alternative platforms with lower congestion, thereby distributing the load and improving overall congestion reduction effectiveness while maintaining user convenience through automated recommendations
Solution Approach 2:
The system changes the parameter of platform selection from a fixed single-platform approach to a dynamic multi-platform approach. By evaluating congestion degrees of multiple platforms and recommending alternatives based on real-time conditions, the system achieves better congestion reduction while preserving ease of operation through automated decision-making
2Productivity
If multiple vehicles exit at the same time and same destination, then the platform experiences high congestion, but individual vehicle efficiency is maximized
Solution Approach 1:
The system merges multiple individual exit requests into a coordinated carpooling arrangement. When detecting multiple vehicles with相同 exit time and destination, the system combines these requests and proposes carpooling, thereby reducing the number of separate exit operations and minimizing platform congestion while maintaining efficient vehicle utilization
Solution Approach 2:
The system implements automated detection and proposal of carpooling opportunities without requiring manual user coordination. The congestion degree determination unit automatically identifies potential carpooling scenarios, and the alternative solution proposal unit generates carpooling recommendations, enabling the system to self-optimize congestion reduction while preserving individual vehicle efficiency
Data Source
AI summary
Provided is an automatic parking service causes a vehicle that has arrived at a platform to enter one parking space among a plurality of parking spaces by autonomous driving and that causes the vehicle parked in the parking space exit the platform by autonomous driving. A congestion degree of a platform requested to be used in an entry-exit time zone specified by a user that uses the automatic parking service is determined when an entry-exit request in which one platform among the plurality of platforms is used is received from the user. The use of another platform is proposed to the user when the congestion degree of the platform requested to be used is high, the other platform having a lower congestion degree than the platform requested to be used.