Remote Driving Control for Unmanned Delivery Under Network Constraints
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Solution Overview
Problem
The high labor costs associated with manual item delivery in online shopping are increasing logistics costs due to a great demand for delivery staff.
Innovation Solution
Implementing remote driving technology to control unmanned vehicles for delivery, utilizing predicted travelling data and network resources to autonomously transport items, reducing the need for manual labor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual delivery is used to meet great item delivery demand, then delivery service can be provided, but labor costs increase resulting in sharp rise in logistics costs
Solution Approach 1:
The patent implements unmanned delivery vehicles that autonomously navigate and deliver items without human operators. The system uses automated path planning, obstacle detection, and delivery execution capabilities to enable self-service delivery operations, thereby eliminating the need for human delivery staff and reducing labor costs while maintaining delivery service capacity
Solution Approach 2:
The patent replaces the mechanical system of manual labor with an automated unmanned vehicle system. The unmanned vehicles use sensors, processors, and automated control systems to perform delivery tasks that were previously done manually by delivery staff, substituting human mechanical action with automated mechanical and electronic systems
2Productivity
If more delivery staff are hired to meet delivery demand, then delivery capacity increases, but labor costs increase sharply
Solution Approach 1:
The unmanned delivery vehicles operate autonomously without requiring human delivery staff. Each vehicle is equipped with self-navigation, obstacle detection, and automated delivery capabilities, allowing the system to scale delivery capacity by deploying additional unmanned vehicles rather than hiring more human workers, thus avoiding the sharp increase in labor costs that would otherwise be required
Solution Approach 2:
The unmanned delivery vehicle system provides a universal solution that can handle various delivery tasks and scale flexibly. A single unmanned vehicle can serve multiple functions and routes, and the system can easily scale capacity by deploying additional vehicles without the constraints of human resource management, training, and coordination that would increase labor costs
Data Source
AI summary
An unmanned vehicle control method includes acquiring a delivery request for an item, the delivery request comprising delivery information of the item, and determining, according to the delivery information, predicted travelling data associated with delivering the item and at least one of network coverage or network connection quality associated with the predicted travelling data. The method further includes allocating network resources according to the at least one of the network coverage or the network connection quality of the predicted travelling data, and generating a remote driving control instruction according to the predicted travelling data. The method further includes transmitting the remote driving control instruction to an unmanned vehicle using the allocated network resources, so as to cause the unmanned vehicle to drive based on the remote driving control instruction, the unmanned vehicle being configured to transport the item.