Vehicle Collection Delivery System Parking Feasibility Analysis
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Solution Overview
Problem
Existing trunk share systems do not consider the route and attributes of parking lots when delivering items, leading to potential failures in arriving at designated vehicle parking positions, which can result in failed collection or delivery operations.
Innovation Solution
An information system that accepts requests for collection and delivery, acquires parking position and attribute information, and determines if a delivery vehicle can arrive at the designated position by analyzing route and parking lot attributes, offering alternative parking solutions if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system accepts collection/delivery requests without considering parking lot attributes and routes, then the operation is simple and fast, but the reliability of arriving at the designated parking position deteriorates
Solution Approach 1:
The system performs preliminary analysis of parking lot attributes and route feasibility before accepting collection/delivery requests. By evaluating whether the delivery vehicle can reach the parking position in advance, the system ensures reliable delivery while maintaining simple request acceptance procedures.
Solution Approach 2:
The management server acts as an intermediary between the user terminal and delivery vehicle. It receives parking position information, analyzes parking lot attributes and routes, determines delivery feasibility, and communicates results back to users. This intermediary processing ensures reliable delivery decisions without complicating the user interface.
2Reliability
If the system checks parking lot attributes and route feasibility, then the reliability of delivery arrives, but the processing time and system complexity increase
Solution Approach 1:
The system acquires and analyzes parking lot attribute information and route data in advance, before the actual collection/delivery operation. This preliminary preparation ensures accurate feasibility determination while allowing the actual delivery process to proceed efficiently without time-consuming analysis.
3Ease of operation
If the system provides comprehensive parking lot attribute information and route analysis, then the user experience improves, but the information processing load increases
Solution Approach 1:
The system extracts only the essential parking lot attribute information and route feasibility results needed for delivery decisions, rather than processing or displaying all possible information. This selective extraction provides users with sufficient information for informed decisions while keeping the information management system relatively simple.
Data Source
AI summary
An information system that manages collection from and delivery to one or more areas in a vehicle that can be used as a collection-delivery destination of an item, the information system includes: an acceptance unit configured to accept a request for collection and delivery of the item from and to the areas; an acquisition unit configured to acquire parking position information and attribute information; and a management unit configured to determine whether a delivery vehicle carrying the item will be able to arrive at a parking position based on the parking position information and the attribute information.