Vehicle Navigation Complexity Assessment Using Crowdsourced Data

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Solution Overview

Problem

Existing vehicle navigation systems lack the ability to effectively assess and communicate situational complexity in real-time, relying solely on GPS data and failing to integrate crowdsourced information and predetermined data for comprehensive route analysis.

Innovation Solution

A vehicle system incorporating an on-board satellite navigation device, telematics control unit, and processor to acquire real-time, crowdsourced, and predetermined information, determining complexity values and controlling a display to notify drivers of potential challenges, using sensors and cloud connectivity for data integration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If GPS data alone is used for navigation, then the system remains simple, but situational awareness is insufficient

Engineering Contradiction:
Improvesituational awarenessVSAvoiddata integration system
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent combines multiple information sources (real-time GPS data, crowdsourced data from other vehicles, and predetermined route information) into a unified complexity assessment system. The processor integrates these diverse data streams to generate comprehensive situational awareness, resolving the contradiction by merging information sources rather than relying on GPS alone.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system performs multiple functions: acquiring real-time GPS data, receiving crowdsourced information from telematics units, storing predetermined route data, and processing all this information to generate complexity values. This multi-functional approach enables comprehensive situational awareness while managing system complexity through integrated processing.

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

2Measurement precision

If real-time data processing is implemented, then situational complexity assessment is improved, but computational load increases

Engineering Contradiction:
Improvecomplexity assessment accuracyVSAvoidprocessor energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system stores predetermined route information and complexity thresholds in advance in memory. By having this data pre-prepared and organized, the processor can perform real-time comparisons and assessments more efficiently, reducing the computational load during actual navigation while maintaining high assessment accuracy.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If multiple data sources are integrated, then navigation reliability is improved, but system complexity increases

Engineering Contradiction:
Improvenavigation reliabilityVSAvoiddata integration architecture
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The processor acts as an intermediary that receives and standardizes data from multiple sources (GPS unit, telematics control units, memory storage). It processes this diverse information through unified algorithms to generate complexity values, mediating between heterogeneous data sources and the navigation system to maintain reliability while managing complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Reliability

If complexity thresholds are set low, then driver safety is improved, but false alerts increase

Engineering Contradiction:
Improvedriver safetyVSAvoidfalse alerts
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The system uses predetermined complexity value thresholds stored in memory that can be configured at different levels. By adjusting these threshold parameters, the system balances driver safety with alert accuracy - higher thresholds reduce false alerts while lower thresholds enhance safety monitoring, allowing flexible adaptation to different operational requirements.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12578201B2Situational complexity determination system
Publication Date: 2026.03.17 NISSAN NORTH AMERICA INC
  • US12578201B2 patent drawing
  • US12578201B2 patent drawing
  • US12578201B2 patent drawing

AI summary

A vehicle includes an on-hoard satellite navigation device, a telematics control unit, a non-transitory computer readable medium, and a processor. The on-board satellite navigation device is in communication with a global positioning system unit to acquire real-time information regarding conditions near the vehicle's vicinity. The telematics control unit is in wireless communications to a cloud services or a vehicle network to upload and receive crowdsourced information regarding conditions near the vehicle's vicinity. The non-transitory computer readable medium stores predetermined information regarding conditions near the vehicle vicinity. The processor is programmed to output one or more complexity values related to the vehicle's vicinity during vehicle travel based on one or more of the real-time information, the crowdsourced information and the predetermined information.