Unmanned Vehicle Dispatching by Task Type Across Mixed Fleets

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Solution Overview

Problem

Current unmanned vehicle dispatching management systems are complex due to the need for different dispatching methods for various types of unmanned vehicles, leading to increased complexity as new types of vehicles are introduced.

Innovation Solution

Implementing a method where unmanned vehicle dispatching management is based on task types rather than vehicle types, allowing for unified dispatching management across various types of vehicles by assigning tasks based on task types such as operating, testing, and route reception.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If different dispatching management methods are adopted for different types of unmanned vehicles, then each vehicle type can be managed according to its specific characteristics, but the dispatching management system complexity increases significantly

Engineering Contradiction:
Improvevehicle type adaptabilityVSAvoiddispatching management system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal dispatching management system that can handle multiple types of unmanned vehicles (taxis, buses, inspection vehicles, logistics vehicles, etc.) through a single unified interface. The system uses a standardized task type classification (operating, testing, route reception) that applies to all vehicle types, eliminating the need for separate dispatching processes for each vehicle category while maintaining full adaptability to different vehicle functions

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent transforms the dispatching management approach by changing the classification parameter from vehicle type to task type. Instead of organizing dispatching around diverse vehicle categories, the system categorizes tasks into standard types (operating, testing, route reception) and matches vehicles to tasks based on these standardized parameters, thereby simplifying the management structure while preserving vehicle-specific capabilities

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If new types of unmanned vehicles are introduced, then the system can accommodate diverse vehicle functions, but additional dispatching processes must be developed increasing complexity

Engineering Contradiction:
Improvevehicle type diversityVSAvoiddispatching process integration
Core Design Contradiction:
Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The unified dispatching system is designed to accommodate new vehicle types without requiring new dispatching processes. The standardized task type framework (operating, testing, route reception) provides a universal interface that can handle any vehicle function, making the system easily adaptable to new vehicle introductions while maintaining ease of integration

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system employs dynamic task type assignment where the same vehicle can be assigned to different task types based on real-time operational needs. This dynamic flexibility allows new vehicle types to be integrated into existing dispatching workflows without rigid process constraints, facilitating easier system expansion and vehicle diversity

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12209873B2Method and apparatus for unmanned vehicle dispatching management, device, storage medium and program
Publication Date: 2025.01.28 APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
  • US12209873B2 patent drawing
  • US12209873B2 patent drawing
  • US12209873B2 patent drawing

AI summary

The present disclosure provides a method and apparatus for unmanned vehicle dispatching management, a device, a storage medium and a program, which relates to autonomous driving and intelligent transportation technology in artificial intelligence. The specific implementation solution includes: receiving an unmanned vehicle dispatching request; determining, according to the unmanned vehicle dispatching request, a first task type corresponding to a first unmanned vehicle to be dispatched; generating a first order corresponding to the first unmanned vehicle, where the first order is used to indicate a driving task to be performed by the first unmanned vehicle, and a type of the driving task is the first task type; and sending the first order to the first unmanned vehicle. Through the above process, a dispatching management of unmanned vehicles is realized from the task dimension, so that there is no need to distinguish the types of unmanned vehicles.