Forward Region Map Generation for Real-Time Traffic Prediction

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Solution Overview

Problem

Existing vehicle navigation systems lack immediacy in responding to actual traffic situations, leading to inefficiencies in map generation and traffic management.

Innovation Solution

A forward region estimation system that uses a vehicle terminal with a communication unit to accumulate and transmit data to a server, which creates current state map data and performs predictive calculations to determine a safe traveling region, partitioned by distance and time, to assist in automated and manual driving.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If real-time data accumulation and predictive calculation are implemented, then map generation immediacy and traffic management efficiency are improved, but system complexity and computational requirements increase

Engineering Contradiction:
Improvemap generation immediacyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system divides the computational task into two segments: real-time data accumulation and processing by the input data compilation device, and predictive calculation by the output data compilation device. This segmentation allows immediate map generation while distributing system complexity across multiple specialized components.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary action by accumulating traffic data and creating current state map data in real-time before predictive calculation is needed. This preliminary data preparation enables faster response when predictive calculations are required, improving map generation immediacy without proportionally increasing overall system complexity.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If predictive calculation of forward region is performed, then vehicle safety and route optimization are improved, but calculation time and processing load increase

Engineering Contradiction:
Improvevehicle safetyVSAvoidcalculation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary action by continuously accumulating traffic data and maintaining current state map data in real-time before predictive calculation is needed. This pre-prepared data enables the forward region predictive calculation to be performed quickly when required, improving vehicle safety without proportionally increasing calculation time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system applies local quality by focusing predictive calculation on the forward region (future traffic situation) rather than the entire map. This localized approach ensures vehicle safety through accurate prediction of upcoming conditions while reducing overall calculation time and processing load compared to full-map analysis.

Inventive Principle:
Principle #3Local quality

3Measurement precision

If comprehensive traffic data is accumulated from multiple vehicles, then traffic management accuracy is improved, but data transmission volume and network load increase

Engineering Contradiction:
Improvetraffic management accuracyVSAvoiddata transmission volume
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The system applies taking out by extracting only the essential traffic data elements needed for predictive calculation from the comprehensive data set. The input data compilation device accumulates detailed traffic data, but the output data compilation device extracts and processes only the relevant portions for forward region prediction, improving traffic management accuracy while reducing data transmission volume.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system merges data from multiple vehicles at the server side rather than transmitting processed results from each vehicle. The input data compilation device consolidates traffic data from multiple sources, creating a comprehensive current state map that improves traffic management accuracy through combined information while being more efficient than transmitting individual vehicle data sets separately.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentEP3855123B1Map generation system
Publication Date: 2023.09.06 SUBARU CORP
  • EP3855123B1 patent drawingFigure 1
  • EP3855123B1 patent drawingFigure 2
  • EP3855123B1 patent drawingFigure 3

AI summary

A map generation system (1) includes a vehicle (100) including a terminal (6), an input data compilation device, and an output data compilation device. The input data compilation device includes a data reception unit (11), a data accumulation unit (13), and a current state map data creation unit. The data reception unit (11) communicates with a communication unit of the terminal (6). The data accumulation unit (13) accumulates data held by the terminal (6). The current state map data creation unit creates current state map data using data accumulated by the data accumulation unit (13), and map data, regional data, or both. The output data compilation device includes a forward region calculation unit (210) and a calculation transmission unit (11). The forward region calculation unit (210) makes predictive calculation of a forward region of the vehicle (100), using the current state map data. The calculation transmission unit (11) communicates with the communication unit regarding a result of the predictive calculation.