Automated Driving Risk Area Mapping for Accurate Route Regulation
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Solution Overview
Problem
Conventional automated driving systems inaccurately determine dangerous areas based solely on sudden braking events, leading to potential oversight in risk area identification.
Innovation Solution
An automated driving system that utilizes operational and infrastructure information databases to identify risk types and set accurate risk areas, adjusting vehicle routes based on vehicle position and risk area settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If risk areas are determined only based on sudden braking events, then the system can quickly identify dangerous areas, but the accuracy of risk area identification deteriorates due to incorrect determination
Solution Approach 1:
The patent segments the risk identification process into multiple independent evaluation dimensions: sudden braking events, acceleration events, and infrastructure sensor detections. Each dimension independently evaluates different aspects of potential hazards, and their results are integrated to form a comprehensive risk assessment. This segmentation allows the system to maintain quick response while improving accuracy by not relying solely on one indicator.
Solution Approach 2:
The patent implements a multi-functional evaluation system where the risk determination mechanism serves multiple purposes: it processes sudden braking data, acceleration data, infrastructure sensor information, and integrates them into a unified risk assessment. This universal approach allows the same system to handle diverse hazard types without sacrificing speed or accuracy.
2Measurement precision
If multiple types of field information are integrated to identify risk types, then the accuracy of risk area identification is improved, but the device complexity increases
Solution Approach 1:
The patent introduces an intermediary risk determination mechanism that acts as a mediator between multiple information sources (operational information, infrastructure information) and the final risk area identification. This intermediary layer processes and integrates diverse inputs using predefined evaluation criteria, transforming complex multi-source data into structured risk assessments without requiring direct complex interactions between all components.
Solution Approach 2:
The patent changes the parameters of information processing by transforming raw operational and infrastructure data into standardized risk evaluation parameters. Different types of information (braking events, acceleration events, sensor detections) are converted into comparable parameter formats that can be systematically integrated, reducing complexity while maintaining comprehensive analysis.
3Reliability
If the system sets wide hazardous areas to ensure safety, then the safety coverage is improved, but the productivity of vehicle operation deteriorates due to unnecessary route restrictions
Solution Approach 1:
The patent applies local quality by setting risk areas with spatially varying characteristics based on the specific type and location of hazards. Instead of uniform wide hazardous zones, the system identifies and marks specific local areas with different risk levels and characteristics, allowing vehicles to navigate safely through low-risk areas while avoiding high-risk zones. This localized approach maintains safety coverage while preserving vehicle productivity in safe regions.
Data Source
AI summary
An automated driving system, a driving regulation method, and a driving regulation program that make it possible to set risk areas accurately and thereby achieve safe automated driving are provided. Included are a risk area setting unit 111 that identifies a risk type from field information on planning or operation, recorded in an operational information database 101 and an infrastructure information database 103, and that sets a predetermined area in a field area, as a risk area, on the basis of the risk type, and a vehicle route setting unit 117 that sets a traveling route for a vehicle 2 traveling in the field area, on the basis of vehicle position information of the vehicle 2 and the risk area set by the risk area setting unit 111.