DRIVING ASSISTANCE SYSTEM, DRIVING ASSISTANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM

Smart overview of the Invention

A driving assistance system utilizes a memory and a processor to enhance vehicle operation based on historical data. By analyzing the use history of driving assistance functions across multiple vehicles, the system identifies common positions where these functions are utilized. It then correlates this data with planned travel positions of a specific vehicle, allowing the processor to suggest when to use the driving assistance feature based on aggregated usage frequencies.

Functionality and Data Aggregation

The system aggregates usage frequencies of the driving assistance function at specific travel positions for various vehicles. This aggregation helps determine the optimal times and locations for suggesting the use of driving assistance features. By focusing on areas where the function has been frequently used, the system aims to improve user convenience and promote effective utilization of the driving assistance capabilities.

Output Mechanisms

The output section of the system not only suggests when to use the driving assistance function but can also provide information on usage frequencies at planned travel positions. This feature reassures users by indicating how often other vehicles have successfully used the function in similar circumstances, thereby enhancing user confidence in adopting the technology.

Threshold-Based Suggestions

In instances where aggregated usage frequencies exceed a certain threshold, the system will suggest using the driving assistance function. This ensures that recommendations are made only in situations deemed suitable based on historical data, thereby avoiding unnecessary alerts in less relevant contexts.

Comparative Analysis Across Vehicles

The system also compares usage frequencies between the specific vehicle and others within its network. If other vehicles demonstrate a higher frequency of using the driving assistance function at a planned position, suggestions will be made accordingly. This comparative analysis minimizes redundant suggestions and ensures that users receive helpful prompts tailored to their travel context.