Map Data Update Device Using Movement History for New Road Attributes

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Solution Overview

Problem

Existing technologies cannot automatically generate road associated information such as road type or road attribute for new roads, requiring manual on-site inspection and lengthy registration processes.

Innovation Solution

A map data update device that uses movement history data from multiple moving bodies to automatically determine and set road associated information for new roads, including road type, number of lanes, and other attributes, reducing the need for manual investigation and speeding up the registration process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If new roads are automatically generated on map data using traveling loci, then the road link can be automatically created, but road associated information such as road type and road attribute cannot be automatically generated, requiring manual on-site inspection

Engineering Contradiction:
Improveautomatic generation of new roadVSAvoidmanual on-site inspection
Core Design Contradiction:
Extent of automationVSEase of operation

Solution Approach 1:

The system uses movement history data from multiple moving bodies to automatically determine road associated information itself, without requiring external manual inspection. The map data generation unit extracts road type and road attribute information directly from the traveling loci and movement patterns of vehicles, enabling the system to self-generate complete road information including associated attributes.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system collects movement history data from multiple moving bodies traveling on the new road and uses this feedback information to determine road associated information. By analyzing the aggregate movement patterns, speed variations, and traveling behaviors of multiple vehicles, the system infers road characteristics such as road type and attributes automatically.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If manual on-site inspection is performed to obtain road associated information, then accurate road type and road attribute data can be obtained, but it takes a long period of time until the new road is registered in the map data

Engineering Contradiction:
Improveaccuracy of road associated informationVSAvoidtime for road registration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system collects and accumulates movement history data from multiple moving bodies before generating the new road on map data. By preliminarily gathering sufficient traveling locus information and movement patterns, the system ensures that when the new road is generated, all necessary road associated information is already available for automatic determination, eliminating the need for subsequent manual inspection and accelerating the registration process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system automatically determines road associated information by analyzing movement history data itself, without requiring external manual intervention. The map data generation unit extracts road type and road attribute information directly from the collected traveling loci and movement patterns, maintaining accuracy while dramatically reducing the time required for road registration.

Inventive Principle:
Principle #25Self-service

3Loss of information

If a worker manually generates road associated information by visiting the construction site, then complete and accurate road information can be obtained, but the work process becomes troublesome and time-consuming

Engineering Contradiction:
Improvecompleteness of road associated informationVSAvoidefficiency of road registration
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The system collects movement history data from multiple moving bodies as feedback information and uses this data to automatically determine complete road associated information. By analyzing the aggregate movement patterns, speed variations, and traveling behaviors of multiple vehicles, the system infers comprehensive road characteristics including road type, road attributes, and other relevant information, matching the completeness of manual inspection while dramatically improving efficiency.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs automatic determination of road associated information by itself using the collected movement history data, eliminating the need for manual worker intervention. The map data generation unit automatically extracts and generates complete road information from the traveling loci and movement patterns, maintaining information completeness while significantly increasing registration productivity.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS9672739B2Map data update device
Publication Date: 2017.06.06 CS LAB
  • US9672739B2 patent drawing
  • US9672739B2 patent drawing
  • US9672739B2 patent drawing

AI summary

For a new road set in a region where an existing road is not present in map data, a road associated information setting unit 13 determines and sets road associated information to be applied to a road link of a new road on the basis of movement history data relating to a plurality of moving bodies stored in a movement history storage unit 14. Accordingly, the road associated information on the new road is automatically set on the basis of the movement history data relating to the plurality of moving bodies, and hence a worker is no longer required to execute on-site investigation or manually generate road associated information.