Dynamic Navigation Service Using Community Behavior Data

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Solution Overview

Problem

Conventional navigation services often fail to provide directions that are tailored to the preferences and habits of local communities, which can be inadequate for users unfamiliar with an area, especially in cases of road closures or safety concerns.

Innovation Solution

A dynamic navigation system that utilizes user behavior data and community user behavior data to generate suggested routes, incorporating preferences and habits of locals, while also considering contextual data such as traffic conditions and road conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If navigation services use rigid criteria (shortest distance, shortest time) to recommend directions, then route efficiency is improved, but adaptability to local conditions and user preferences deteriorates

Engineering Contradiction:

Improveroute efficiencyVSAvoidadaptability to local conditions

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The navigation system dynamically adjusts route recommendations by incorporating real-time community behavior data, transforming static rigid criteria into dynamic adaptive recommendations that respond to changing local conditions and user preferences

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameters of route selection by integrating multiple factors beyond distance and time, including community navigation patterns, local knowledge, and contextual data, thereby expanding the decision-making parameters to achieve both efficiency and adaptability

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If navigation services provide standardized directions, then system complexity is reduced, but information precision for local conditions deteriorates

Engineering Contradiction:

Improvesystem complexityVSAvoidinformation precision

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The system enables self-service by automatically collecting, processing, and utilizing community-generated navigation data without requiring manual intervention, thereby maintaining low operational complexity while achieving high information precision through automated data aggregation and analysis

Inventive Principle:

Principle #25Self-service

3Adaptability or versatility

If navigation services incorporate community behavior data, then adaptability to local conditions is improved, but system complexity deteriorates

Engineering Contradiction:

Improveadaptability to local conditionsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by using a unified data collection and processing framework that handles multiple data sources (community behavior data, contextual data, navigation requests) through a single integrated system, thereby reducing overall complexity while maintaining high adaptability

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS9448084B2Dynamic navigation service

Publication Date: 2016.09.20 INTEL CORP

AI summary

Systems and methods may provide for implementing a dynamic navigation service. In one example, the method may include generating user behavior data for a user, generating community user behavior data, generating a user suggested route, and generating a community user suggested route.