Driving Condition Alerts Using Road Attribute Data
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Solution Overview
Problem
Current systems for providing driving condition alerts to vehicle drivers do not effectively utilize comprehensive road attribute data, leading to incomplete information about potential hazards, as they primarily rely on traffic and weather data without integrating additional road features that can impact driving conditions.
Innovation Solution
A method and system that combines road location data with road attribute data, traffic data, weather data, and event data to analyze potential hazards, using analytical methodologies like decision trees, object models, and genetic algorithms to generate and transmit driving condition alerts, including a scoring system to represent the severity of driving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only traffic and weather data are used for driving condition alerts, then the system complexity is reduced, but the accuracy and comprehensiveness of hazard information is insufficient
Solution Approach 1:
The patent combines multiple data sources including road attribute data, traffic data, weather data, and event data into a unified alerting system. This integration allows the system to provide comprehensive hazard information by merging previously separate data streams, thereby improving accuracy without proportionally increasing complexity through standardized data fusion processes
Solution Approach 2:
The alerting system is designed to handle multiple types of data (road attributes, traffic, weather, events) through a single unified platform. This multi-functional approach allows the system to process diverse data types using common analytical methodologies, reducing the need for separate specialized systems for each data type
2Loss of information
If comprehensive road attribute data is integrated with traffic and weather data, then the completeness of driving condition information is improved, but the data processing complexity increases
Solution Approach 1:
The patent segments the comprehensive data set into distinct categories (road attribute data, traffic data, weather data, event data) that can be processed independently. Each data type is analyzed separately using appropriate methodologies, then integrated into unified alerts, reducing the complexity of processing the entire data set simultaneously while maintaining information completeness
Solution Approach 2:
The system introduces intermediate processing layers that transform raw data from multiple sources into standardized formats before final integration. These intermediary processing steps include data validation, normalization, and preliminary analysis, which simplify the overall data processing complexity while preserving the completeness of the information
Data Source
AI summary
A method and system for providing a driving condition alert to vehicle drivers and others are disclosed. The alert is provided based on road location and attribute data; real-time, historic, and forecast traffic data; real-time, historic, and forecast weather data; and/or scheduled and unscheduled event data. The alert may include information indicating the reason for the alert provided. In addition, the alert may include a relative scale of hazard (e.g., a scale of 1-10 with 1 representing no hazard and 10 representing the highest hazardous condition). As a result of receiving the alert, the driver may adjust their route or driving behavior.