Route Guidance Using Driving Assistant Use Rate Statistics
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Solution Overview
Problem
Existing driving assistant systems face challenges in reliability and user adoption, particularly in situations like road congestion and accidents, where drivers tend to disable the system due to confusion or low reliability, leading to reduced convenience and safety.
Innovation Solution
A system that statistically analyzes the use rate of driving assistant systems on actual roads, generates routes based on this data, and provides integrated use rate statistics to drivers, allowing for informed route selection and seamless integration of driving assistant system modes based on section-specific use rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driving assistant system is provided on road, then driver safety and convenience are improved, but driver confusion and low reliability cause reduced system usage
Solution Approach 1:
The system performs preliminary analysis of driving assistant system usage patterns on specific road sections before the driver reaches them. By pre-identifying high-reliability sections and providing this information to the driver in advance, the system allows the driver to make informed decisions about whether to use the driving assistant system, thereby reducing confusion and increasing acceptance.
Solution Approach 2:
The system collects and analyzes actual usage data from multiple vehicles to determine driving assistant system reliability on different road sections. This feedback loop enables the system to continuously improve its accuracy in identifying reliable sections and provide increasingly precise guidance to drivers, enhancing both reliability perception and driver acceptance.
2Productivity
If congestion section driving support system makes vehicle yield, then traffic flow is maintained, but driver motivation to turn off system increases
Solution Approach 1:
The system pre-identifies congestion sections where the driving assistant system has high reliability based on historical usage patterns. By informing drivers in advance about these high-reliability sections, the system prepares drivers for the system's behavior (including yielding actions), reducing confusion and maintaining driver willingness to use the system even when yielding occurs.
Solution Approach 2:
The system uses visual display with different colors to indicate reliability levels of different road sections (e.g., green for high reliability, yellow for medium, red for low). This intuitive visual coding helps drivers quickly understand where the driving assistant system is most reliable, including congestion sections with proven track records, thereby maintaining driver confidence and usage willingness.
Data Source
AI summary
Provided are a system for guiding a route based on a use pattern of a driving assistant system and a method thereof. The system for guiding a route based on a use pattern of a driving assistant system includes a route generator generating at least one route to a destination when the destination is input, a per-route information integration device fusing the at least one route and use rate statistics information of the driving assistant system of each route and display the integrated information, and a display displaying a list of routes having the use rate statistics information of the driving assistant system integrated therein.