Autonomous Luggage Delivery Location Selection to Cut Vehicle Waiting

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Solution Overview

Problem

Current autonomous driving delivery systems face challenges in enhancing user convenience and delivery efficiency, particularly in luggage delivery, as they do not effectively utilize user position information to optimize delivery locations and reduce waiting times for autonomous vehicles.

Innovation Solution

An autonomous driving delivery system that includes an early delivery request reception unit, position information acquisition, candidate delivery location proposal, and delivery location determination units, which use user position information and road traffic data to suggest and set delivery locations, thereby improving convenience and efficiency by reducing waiting times and avoiding congested areas.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the autonomous driving vehicle waits for the user to arrive at the delivery location, then the user can receive the luggage, but the delivery efficiency decreases due to long waiting times

Engineering Contradiction:
Improveuser convenienceVSAvoiddelivery efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The system performs preliminary actions by acquiring the user's position information in advance, proposing candidate delivery locations before the user arrives, and allowing the user to select a preferred location ahead of time. This eliminates the need for the autonomous vehicle to wait at the original delivery location, as the delivery can proceed immediately upon the user's arrival at the pre-selected location.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously monitoring the user's position information and using it to adjust and propose appropriate candidate delivery locations. The user's selection feedback is then used to finalize the delivery location, creating a closed-loop system that optimizes both user convenience and delivery efficiency.

Inventive Principle:
Principle #23Feedback

2Device complexity

If the delivery location is fixed without considering user position, then the system is simple to operate, but the user convenience decreases

Engineering Contradiction:
Improvesystem complexityVSAvoiduser convenience
Core Design Contradiction:
Device complexityVSEase of operation

Solution Approach 1:

The system segments the delivery location selection process into distinct stages: (1) acquiring user position information, (2) proposing multiple candidate delivery locations based on position and traffic data, and (3) allowing user selection from the candidates. This segmentation makes the complex process manageable and user-friendly without overwhelming the user.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces dynamics by making the delivery location flexible and adaptable based on real-time user position information and traffic conditions. Instead of a fixed delivery location, the system dynamically proposes multiple candidates and allows the user to select the most convenient option, thereby improving user convenience while maintaining manageable system complexity.

Inventive Principle:
Principle #15Dynamics

3Adaptability or versatility

If the autonomous driving vehicle travels to distant delivery locations, then more delivery locations are accessible, but the delivery time increases

Engineering Contradiction:
Improvedelivery location flexibilityVSAvoiddelivery time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary action by proposing candidate delivery locations that are strategically selected based on the user's position information and traffic conditions. This ensures that the selected delivery location is both accessible and time-efficient, balancing delivery location flexibility with minimal travel time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes parameters by considering multiple factors including user position, traffic conditions, and delivery location characteristics when proposing candidates. This multi-parameter approach allows the system to optimize the balance between delivery location flexibility and delivery time, selecting locations that are both accessible and time-efficient.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11945471B2Autonomous driving delivery system
Publication Date: 2024.04.02 TOYOTA JIDOSHA KK
  • US11945471B2 patent drawing
  • US11945471B2 patent drawing
  • US11945471B2 patent drawing

AI summary

An autonomous driving delivery system that delivers luggage to a user by an autonomous driving vehicle includes: an early delivery request reception unit configured to receive a request for early delivery of the luggage from a user's mobile terminal; a position information acquisition unit configured to acquire position information of the user's mobile terminal when the early delivery request reception unit receives the request for early delivery; a candidate delivery location proposal unit configured to propose at least one candidate delivery location from a plurality of predetermined stop locations to the user's mobile terminal based on the position information when the position information is acquired by the position information acquisition unit; and a delivery location determination unit configured to designate the candidate delivery location selected by the user as a delivery location of the luggage.