Autonomous Parking Service Scheduling for Smart Base Vehicles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle management systems do not efficiently provide necessary services during parking time without requiring separate effort or time from the customer, especially in smart base parking lots with autonomous vehicles.
Innovation Solution
A vehicle management system that includes a control server, vehicle, service point servers, and a scheduler to recommend and manage vehicle management services based on destination and vehicle state information, enabling autonomous driving and communication to optimize service combinations and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a customer wants to receive vehicle management services during parking time, then service availability is improved, but customer effort and time investment increase
Solution Approach 1:
The system enables self-service by allowing vehicles to autonomously request and receive management services during parking. The vehicle independently communicates with the control server, which automatically schedules and executes services without requiring customer intervention or additional effort.
Solution Approach 2:
The system performs preliminary actions by proactively identifying service needs based on vehicle state information before the customer arrives. The control server pre-schedules services during parking time, so that when the customer returns, services are already prepared and ready for immediate execution.
2Adaptability or versatility
If the system provides multiple vehicle management services, then service comprehensiveness is improved, but system complexity increases
Solution Approach 1:
The system segments service management into distinct functional modules: the control server handles service scheduling, the scheduler manages service combinations, and service point servers coordinate with specific service providers. This modular segmentation allows comprehensive service coverage while maintaining manageable system complexity through clear separation of concerns.
Solution Approach 2:
The control server acts as an intermediary between vehicles and multiple service point servers. It receives service requests from vehicles, coordinates with appropriate service providers, and manages the overall service workflow. This intermediary role simplifies the system architecture by centralizing coordination logic and reducing direct connections between numerous components.
3Productivity
If the system autonomously schedules and executes services, then service efficiency is improved, but automation level requirements increase
Solution Approach 1:
The system implements feedback mechanisms where vehicles transmit their state information to the control server, which uses this feedback to determine appropriate services. The scheduler continuously monitors service execution status and adjusts scheduling based on real-time feedback, enabling efficient autonomous operation while maintaining controllable automation levels through iterative optimization.
Data Source
AI summary
A vehicle management system for a smart base parking lot includes a vehicle that performs autonomous driving and remote communication, service point servers that manage pieces of operating information of service points located within a predetermined certain distance from smart base parking lots, and a control server that interworks with the service point servers to recommend vehicle management services available at service points corresponding to a destination provided from the vehicle during a parking time, when the destination is the smart base parking lot, and controls autonomous driving of the vehicle depending on the selected vehicle management service.