Vehicle Risk Assessment Using Real-Time Behavior Data
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Solution Overview
Problem
Existing vehicle operation diagnosis systems only assess risk at accident-prone points, failing to consider areas without such points as potentially dangerous.
Innovation Solution
An information processing device and method that determine the degree of danger in an area based on information from vehicles traveling within it, using communication and control units to analyze parameters like speed, horn usage, deceleration, and camera data to assess risk levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driving diagnosis determination criteria are changed based on accident factors at accident-prone points, then the accuracy of risk assessment at accident-prone points is improved, but areas without accident-prone points cannot be identified as dangerous areas
Solution Approach 1:
The system segments the risk assessment into two independent components: accident-prone point analysis (using historical accident data) and general area analysis (using real-time vehicle behavior data). This allows both accident-prone points and non-accident-prone dangerous areas to be assessed separately and comprehensively
Solution Approach 2:
The risk assessment system is designed to handle multiple types of areas universally - it can assess both accident-prone points (using historical data) and general areas without accident-prone points (using real-time vehicle behavior data), making the system adaptable to different assessment scenarios
2Device complexity
If only accident-prone points are monitored for risk assessment, then the complexity of the assessment system is reduced, but the comprehensiveness of safety coverage deteriorates
Solution Approach 1:
The assessment system is divided into two independent modules: a simple accident-prone point module (using historical data) and a comprehensive general area module (using real-time vehicle behavior data). This segmentation maintains simplicity where possible while adding comprehensiveness where needed
Solution Approach 2:
The processor acts as an intermediary that integrates results from both the accident-prone point assessment and the general area assessment, combining simple historical data analysis with comprehensive real-time behavior analysis to achieve overall safety coverage
Data Source
AI summary
An information processing device includes a communication unit and a control unit. The control unit determines a degree of danger of an area based on information on at least one vehicle traveling in the area which is received by the communication unit.