Driving Support System for Slippery Road Detection
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Solution Overview
Problem
Existing systems face challenges in determining whether a road surface is becoming slippery due to light precipitation, as it is difficult to detect the onset of rainfall or similar conditions, leading to increased skid risks for vehicles.
Innovation Solution
A driving support system that collects and analyzes data from vehicle-mounted terminals to evaluate driver behavior and determine road surface conditions, identifying changes in driving behavior to assess if a road section is turning into a bad condition, thereby informing drivers of potential slippery areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver behavior monitoring is used to detect road surface conditions, then road surface condition detection capability is improved, but system complexity increases
Solution Approach 1:
The system uses driver behavior as an intermediary indicator to infer road surface conditions. Instead of directly detecting road surface properties, the system monitors changes in driver behavior (acceleration, braking, steering patterns) that occur when drivers encounter slippery conditions, thereby detecting road conditions indirectly through a mediator
Solution Approach 2:
The system replaces direct mechanical or physical road surface detection methods with an information-based approach. By substituting physical sensors that would directly contact or measure road surface properties with behavioral analysis of the driver, the system achieves detection capability while reducing mechanical complexity
2Loss of information
If existing road surface detection methods are used, then detection capability is limited, but information loss occurs regarding early slippery conditions
Solution Approach 1:
The system performs preliminary detection of slippery conditions by monitoring driver behavior changes that occur at the onset of slippery conditions, before traditional detection methods would identify the problem. This early detection captures information about developing road conditions while they are still in early stages
Solution Approach 2:
The system continuously monitors driver behavior and uses this feedback to detect changes in road surface conditions. The feedback loop between driver actions and system analysis enables real-time detection of slippery conditions, preventing information loss about early road state changes
Data Source
AI summary
A method for driving support includes: collecting driving information from a terminal mounted on a vehicle driven by a driver, the driving information including data acquired by the terminal during the vehicle is driven by the driver; evaluating a degree of safe driving of the driver in accordance with the driving information; determining whether driving behavior of the driver varies based on the driving information when the driver is a person for whom a degree of safe driving is evaluated higher than a threshold; executing a determination process for determining that a road section identified by the driving information is in a condition turning into bad road when the driving behavior is determined as being varied in accordance with the driving information; and updating road surface condition information that indicates a road surface condition in the road section, based on a result of determination in the determination process.