Autonomous Parking Return Control for Pick-Up Place Congestion
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Solution Overview
Problem
In parking lots, vehicles often occupy pick-up places for extended periods if users do not arrive on time, causing congestion and hindering smooth vehicle departure, as existing technologies fail to effectively manage vehicle occupancy and departure timing.
Innovation Solution
A managing apparatus that sets a maximum wait time for vehicles at pick-up places and controls self-driving vehicles to return to the parking lot if this time is exceeded, using a wait time setting device and controller to optimize routing and re-entry processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the pick-up place space is limited and many vehicles want to leave at the same time, then the demand for pick-up place usage increases, but the occupancy time becomes uncontrolled causing congestion
Solution Approach 1:
The system performs preliminary actions by automatically notifying users in advance when their vehicle arrives at the pick-up place and when the maximum wait time is approaching. This allows users to prepare for pickup beforehand, reducing unnecessary delays and improving overall departure efficiency during peak times.
Solution Approach 2:
The system implements feedback mechanisms by monitoring vehicle wait times in real-time and providing notifications to users when maximum wait time is approaching. This feedback loop enables users to take timely action, preventing congestion and ensuring smooth vehicle flow through the pick-up place.
2Ease of operation
If users are allowed to wait indefinitely at the pick-up place, then user convenience is improved, but the pick-up place becomes occupied for extended periods hindering other vehicles
Solution Approach 1:
The system dynamically adjusts the maximum wait time based on real-time conditions at the pick-up place. When congestion is detected, the maximum wait time is reduced to prioritize vehicle turnover. This dynamic approach balances user convenience with operational efficiency, allowing flexibility while preventing excessive occupancy.
Solution Approach 2:
The system changes the parameter of maximum wait time based on congestion levels and operational needs. By adjusting this parameter dynamically, the system can accommodate user convenience requirements while maintaining high vehicle turnover rates, resolving the contradiction between individual convenience and overall system productivity.
3Productivity
If the maximum wait time is set too short, then vehicle turnover is improved, but user convenience deteriorates due to insufficient waiting time
Solution Approach 1:
The maximum wait time is not fixed but dynamically adjusted based on real-time conditions. During low-congestion periods, the system extends maximum wait time to accommodate user convenience. During peak periods, it reduces the time to prioritize turnover efficiency. This dynamic adjustment resolves the contradiction by adapting to different operational contexts.
Solution Approach 2:
The system performs preliminary actions by notifying users before the maximum wait time expires, giving them advance warning to prepare for pickup. This preliminary notification allows users to plan accordingly, maintaining user convenience even when maximum wait times are constrained for efficiency reasons.
4Ease of operation
If no maximum wait time is imposed, then user flexibility is maintained, but the pick-up place becomes congested during peak departure times
Solution Approach 1:
The system implements continuous feedback by monitoring wait times and providing notifications to users when approaching maximum limits. This feedback mechanism guides user behavior without completely restricting freedom, allowing users to make informed decisions while preventing congestion through timely warnings and automated communications.
Solution Approach 2:
The system takes preliminary anti-action by establishing maximum wait time limits and notifying users in advance before these limits are reached. This preemptive approach prevents congestion from occurring in the first place, rather than reacting to it afterward, thereby maintaining both user flexibility and system efficiency.
Data Source
AI summary
A managing apparatus provides self-driving of a vehicle, which allows the vehicle to enter a parking space out of a plurality of parking spaces from an outside of a parking lot including the plurality of parking spaces, and which allows the vehicle to leave the parking lot for a predetermined place in the outside. The managing apparatus is provided with: a wait time setting device configured to set a maximum wait time of the vehicle in the predetermined place; and a controller configured to set a driving route for returning the vehicle to the parking lot from the predetermined place on condition that the maximum wait time elapses from an arrival of the vehicle in the predetermined place, and configured to provide the self-driving of the vehicle along the driving route.