Central Orchestration for Autonomous Vehicle Regulatory Compliance

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Solution Overview

Problem

Autonomous vehicles face challenges in adapting to varying local regulations and requirements across different geographic areas, necessitating a centralized orchestration system to configure their operations effectively.

Innovation Solution

A system that uses a policy engine to process data from various sources, such as car data, weather, and traffic conditions, to generate vehicle-specific configuration commands, which are then sent to autonomous vehicles via a cellular communication network, allowing them to adjust their operational configurations to comply with local regulations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If autonomous vehicles are configured with fixed operational parameters for each jurisdiction, then compliance with local regulations is improved, but the complexity of managing multiple configuration sets increases

Engineering Contradiction:
Improveregulatory complianceVSAvoidconfiguration management
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system dynamically configures autonomous vehicles by receiving real-time location data and automatically applying the appropriate jurisdictional regulations from a database, transforming static configuration management into a dynamic, adaptive process that reduces manual complexity while maintaining compliance

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

A centralized configuration server acts as an intermediary between jurisdictional regulations and autonomous vehicles, managing the storage, retrieval, and distribution of configuration data, thereby simplifying the complexity burden from individual vehicle systems

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If autonomous vehicles continuously update their configuration via network connection, then adaptability to local regulations is improved, but operational reliability in areas with poor connectivity deteriorates

Engineering Contradiction:
Improveregulatory adaptationVSAvoidoperational continuity
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system pre-loads jurisdictional regulation data into local memory of autonomous vehicles before they enter areas with poor connectivity, enabling them to operate reliably without continuous network access while maintaining the ability to adapt to local regulations

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements local caching of configuration data specific to each vehicle's expected operational area, allowing vehicles to maintain adaptability to local regulations through locally stored information rather than continuous network dependency

Inventive Principle:
Principle #3Local quality

3Stability of the object's composition

If a centralized system manages all vehicle configurations, then consistency across the fleet is improved, but the system's complexity and computational requirements increase

Engineering Contradiction:
Improveconfiguration consistencyVSAvoidcentral orchestration system
Core Design Contradiction:
Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The centralized configuration system is segmented into modular components: a database storing jurisdictional regulations, a processing server that retrieves and applies appropriate configurations, and client interfaces for vehicle communication, reducing overall system complexity through functional decomposition

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10933887B2Method and system for implementing a policy based central orchestration for autonomous vehicles to meet local regulations and requirements
Publication Date: 2021.03.02 OTONOMO TECH LTD
  • US10933887B2 patent drawing
  • US10933887B2 patent drawing

AI summary

A system, a method, and a computer readable medium for communicating vehicle-specific policy to autonomous vehicles are provided herein. The method may include the following steps: storing, sensing and transmitting to the cellular communication network, data associated with autonomous vehicles; maintaining a set of rules for operational parameters of the autonomous vehicles, applying the data associated with the autonomous vehicles for each respective autonomous vehicle to the policy database, to yield a vehicle-specific configuration command; and generating a vehicle-specific configuration command to be sent to the respective autonomous vehicle, that when reaches the autonomous vehicle, configures the autonomous vehicles into one of a plurality of operational configurations.