HD Map Directional Flow Layer for Real-Time Traffic Optimization

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Autonomous vehicles face challenges due to proprietary HD map solutions that are not interoperable across different providers, leading to limited map availability and difficulties in crowdsourcing and quality-of-service variations, which hinder efficient navigation and traffic management.

Innovation Solution

A directional flow server optimizes high-definition map data by integrating real-time traffic data to create a dynamic directional flow layer, enabling efficient traffic management and navigation by distributing optimized HD map data to traffic infrastructure and autonomous vehicles, thus improving traffic flow and redundancy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If proprietary HD map solutions are used by different providers, then each provider can maintain quality of service and control their data protocols, but HD maps become non-interoperable across different providers and vehicle manufacturers, limiting map availability and crowdsourcing capabilities

Engineering Contradiction:
Improvequality of serviceVSAvoidinteroperability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent introduces an intermediary layer (standardized communication protocol and data format specification) between HD map providers and autonomous vehicles. This intermediary enables different proprietary HD map solutions to interoperate through a common interface, allowing vehicles to access HD maps from multiple providers while each provider maintains their own quality of service standards and data protocols.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If multiple HD map providers cover different areas with proprietary solutions, then each provider can optimize for their specific service quality requirements, but this results in limited HD map tile availability for certain areas and cannot support crowdsourcing

Engineering Contradiction:
Improvequality of serviceVSAvoidmap availability
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent implements a universal communication framework that allows HD map data to serve multiple functions and providers simultaneously. By establishing standardized data exchange protocols, the system enables a single HD map tile to be accessible to multiple vehicle manufacturers and providers, increasing overall map availability and enabling crowdsourcing capabilities while maintaining each provider's quality of service optimization.

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

3Reliability

If proprietary communication protocols are used by HD map providers, then quality of service can be controlled and maintained, but this creates difficulties in sharing HD maps and information across different providers and vehicles

Engineering Contradiction:
Improvequality of serviceVSAvoidease of sharing
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent segments the HD map communication system into distinct layers: proprietary data formats at the provider level and standardized communication protocols at the interface level. This segmentation allows each provider to maintain their optimized proprietary formats while the standardized interface layer enables easy sharing and interoperability across different providers and vehicle platforms.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11255693B2Technologies for intelligent traffic optimization with high-definition maps
Publication Date: 2022.02.22 INTEL CORP
  • US11255693B2 patent drawing
  • US11255693B2 patent drawing
  • US11255693B2 patent drawing

AI summary

Technologies for intelligent traffic optimization include a directional flow server that receives dynamic traffic data from traffic infrastructure devices in a monitored region. The traffic data may include traffic volume data and traffic control status data. The server updates a dynamic layer of a high-definition map based on the dynamic traffic data. The high-definition map also includes a static layer and a directional flow layer. The server optimizes the directional flow in response to updating the dynamic layer. The directional flow layer is indicative of traffic direction associated with roads in the monitored region. The server may optimize each of several sub-regions and then optimize connection roads between the regions. The server may distribute the optimized directional flow layer to consumers such as traffic control devices, autonomous vehicles, and other subscribing devices. Other embodiments are described and claimed.