Autonomous Baggage Delivery Vehicle Arrival Time Synchronization
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Solution Overview
Problem
Current automated driving systems do not adequately address the need for convenient baggage delivery to designated destinations, particularly for individuals without a driver's license or those unable to operate a movable body, as they lack a framework for unmanned driving scenarios.
Innovation Solution
A delivery system comprising a movable body and a server that communicates to instruct the movable body to reach a designated delivery destination at a user-set arrival time, allowing for secure and timely baggage delivery, with features like power storage and charging management, and route selection based on traffic conditions to enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a movable body performs unmanned driving to deliver baggage, then convenience for users without driver's license is improved, but reliability of delivery timing deteriorates due to lack of staff operation
Solution Approach 1:
The server receives information about user arrival time at the delivery destination and uses this feedback to adjust the movable body's departure time. The server calculates the optimal departure time by subtracting travel time from the user's arrival time, ensuring the movable body arrives when the user is present. This closed-loop feedback mechanism resolves the contradiction by enabling automatic timing adjustment based on actual user availability.
Solution Approach 2:
The server performs preliminary calculation of the departure time before the movable body departs. By calculating the required departure time in advance based on the user's arrival time and travel duration, the system ensures the movable body is ready to depart at the precise moment needed, guaranteeing on-time delivery without requiring staff intervention.
2Reliability
If the movable body departs early to ensure on-time delivery, then delivery timing reliability is improved, but loss of time for the movable body increases
Solution Approach 1:
The departure time of the movable body is made dynamic rather than fixed. The server continuously adjusts the departure time based on real-time information about user arrival time and travel conditions. This dynamic adjustment allows the movable body to depart at the optimal moment - early enough to ensure on-time delivery but not so early as to create unnecessary waiting time, thus resolving the contradiction between reliability and time loss.
3Ease of operation
If staff operate the movable body to reduce user uneasiness, then user comfort is improved, but device complexity increases
Solution Approach 1:
The movable body performs delivery operations autonomously without requiring staff intervention. The server automatically receives user arrival time information, calculates the optimal departure time, and controls the movable body's departure accordingly. This self-service automation eliminates the need for staff while maintaining user comfort through reliable, on-time delivery, thus resolving the contradiction between user comfort and system complexity.
Data Source
AI summary
A delivery system includes a vehicle and a management server configured to communicate with the vehicle. The vehicle is configured to perform unmanned driving and used to deliver a baggage to a designated delivery destination. When an arrival time of a user, who moves to the delivery destination without riding on the vehicle, to the delivery destination is set, the management server is configured to transmit, to the vehicle, an instruction for moving the vehicle in accordance with a delivery route searched to allow the vehicle to reach the delivery destination at the set arrival time. The vehicle moves to the delivery destination in accordance with the instruction.