Congestion Prediction Server Route Guidance Accuracy

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Solution Overview

Problem

Existing congestion prediction systems face a decline in accuracy due to discrepancies between planned and actual vehicle routes, leading to ineffective route avoidance strategies.

Innovation Solution

An information processor that receives route information for both scheduled and searched routes, generates reference information on congestion, and transmits it to an in-vehicle device, enabling accurate prediction and recommendation of alternative routes to avoid congestion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the system uses searched route information from in-vehicle devices for congestion prediction, then the system can provide route guidance functionality, but the congestion prediction accuracy declines because the searched route may differ from the actual traveling route

Engineering Contradiction:

Improveroute guidance functionalityVSAvoidcongestion prediction accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by obtaining scheduled route information from external sources (navigation devices, traffic centers) before congestion prediction occurs. This scheduled route data is stored and used as the basis for accurate congestion prediction, ensuring that the prediction is based on the actual route vehicles will take rather than just searched routes

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces scheduled route information as an intermediary element between the route guidance functionality and congestion prediction accuracy. By using this intermediate data source that reflects actual traveling routes, the system resolves the contradiction between providing route guidance and maintaining prediction accuracy

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If the system stores and processes scheduled route information from multiple sources, then the congestion prediction accuracy is maintained, but the system complexity increases

Engineering Contradiction:

Improvecongestion prediction accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The congestion prediction server is designed with multi-functionality to handle multiple data sources (navigation devices, traffic information centers) and perform multiple operations (data reception, storage, processing, and prediction). This universal design allows the system to maintain accuracy while managing complexity through a single integrated platform

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system merges multiple functions into a single congestion prediction server that handles data reception from various sources, stores scheduled route information, processes congestion predictions, and transmits results. This consolidation reduces overall system complexity while maintaining prediction accuracy

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS11892315B2Information processor

Publication Date: 2024.02.06 FAURECIA CLARION ELECTRONICS CO LTD

AI summary

A congestion prediction server includes: a storage device configured to store route information of a determined route on which a vehicle is scheduled to travel; and a server control unit configured to, in a case of receiving route information of a searched route searched by an in-vehicle device loaded in the vehicle, generate reference information regarding the searched route based on the route information of the determined route and transmit the generated reference information to the in-vehicle device.