Autonomous Vehicle Service Selection Across Multiple Service Entities
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicles lack the ability to efficiently select and manage vehicle services across multiple service entities and service assignments, leading to inefficiencies in resource utilization and increased downtime.
Innovation Solution
A computer-implemented method and system that enables autonomous vehicles to obtain and evaluate data from multiple service entities, select optimal service assignments based on various criteria, and communicate availability and acceptance of service requests, allowing for flexible and efficient performance of vehicle services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles use a fixed service entity assignment model, then service management is simple, but resource utilization efficiency is low and downtime increases
Solution Approach 1:
The patent implements dynamic service entity selection where autonomous vehicles continuously evaluate and switch between multiple service entities based on real-time criteria such as service quality, compensation, and vehicle needs. This dynamic approach replaces fixed assignments, allowing the system to adapt to changing conditions and optimize resource utilization while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The autonomous vehicle system performs self-service by autonomously selecting service entities and evaluating service assignments without human intervention. The vehicle's computing system automatically processes service requests, compares options against predefined criteria, and makes selection decisions, thereby improving productivity while the automation itself manages the complexity rather than requiring external coordination.
2Adaptability or versatility
If autonomous vehicles evaluate multiple service entities and assignments, then service selection optimization is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent segments the service evaluation process into distinct modular components: service entity identification, criterion-based filtering, assignment evaluation, and selection decision-making. Each module handles a specific aspect of the evaluation, allowing the system to manage complexity through structured decomposition while maintaining high adaptability. The segmentation enables parallel processing of multiple service entities without overwhelming computational burden.
Solution Approach 2:
The system uses parameter-based evaluation where service entities and assignments are assessed against configurable criteria parameters such as compensation thresholds, service quality metrics, and vehicle-specific requirements. By changing and adjusting these parameters dynamically, the system achieves high adaptability in service selection while the parameterized approach itself provides a structured framework that manages computational complexity through standardized comparison metrics.
3Productivity
If autonomous vehicles continuously monitor and select service assignments, then resource utilization is optimized, but communication overhead and processing load increase
Solution Approach 1:
The patent implements preliminary action by pre-establishing evaluation criteria, service entity profiles, and selection algorithms before service assignments are needed. The system pre-processes service entity data and maintains ready-to-evaluate parameter sets, allowing rapid decision-making when service requests arrive. This preliminary preparation reduces real-time communication overhead and processing time while maintaining optimized resource utilization through pre-configured selection logic.
Data Source
AI summary
Systems and methods for controlling an autonomous vehicle and the service selection for an autonomous vehicle are provided. In one example embodiment, a computing system can obtain data indicative of a plurality of plurality of service entities. The computing system can determine a first service entity of the plurality of service entities for which an autonomous vehicle is to perform a first vehicle service. The computing system can indicate that the autonomous vehicle is available to perform the first vehicle service for the first service entity. In some implementations, this indication can be done while the autonomous vehicle is already providing a vehicle service. The computing system can obtain data indicative of a vehicle service assignment associated with the first service entity and cause the vehicle to travel accordingly. In some implementations, the computing system can select a vehicle service assignment from among a plurality of different vehicle service assignments.