Vehicle Precautionary System for Downhill Curve Hazard Detection
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Solution Overview
Problem
Current advanced driver assistance systems (ADAS) face challenges in consistently identifying and providing warnings for locations on the road network where traffic accidents frequently occur, as accident data is scattered across different administrative entities and formats, making it difficult to obtain comprehensive and actionable information.
Innovation Solution
A system that uses a database representing the road network to identify locations with curves along downhill portions of roads, providing precautionary actions such as warnings, vehicle control modifications, or sensor adjustments, by integrating with a positioning system to alert drivers and potentially modify vehicle operations when approaching hazardous areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If accident data is collected from multiple administrative entities with different formats and standards, then comprehensive accident information can be obtained, but data consistency and processing difficulty increase
Solution Approach 1:
The patent segments the data processing task by creating separate modules: a data collection component that gathers accident data from multiple administrative entities, a data standardization component that converts different formats into a unified structure, and a hazard identification component that analyzes standardized data. This segmentation allows each component to handle specific format requirements independently while producing consistent output.
Solution Approach 2:
The patent applies parameter changes by transforming accident data from various administrative formats into a standardized set of parameters and structures. The system converts different reporting methods, periods, and formats into a uniform data representation, enabling consistent analysis across all collected accident information regardless of its original source format.
2Reliability
If digital map data is used to provide predictive capability beyond sensor range, then road geometry and conditions can be determined in advance, but system complexity increases
Solution Approach 1:
The patent merges digital map data with vehicle sensor data in a unified processing system. The map data provides predictive road geometry information while sensor data provides real-time vehicle state information. By combining these data sources, the system achieves reliable predictive capability about upcoming road conditions without requiring separate independent systems for each function.
Solution Approach 2:
The patent creates a universal data processing system that handles multiple functions: digital map data provides road geometry and predictive information, sensor data provides real-time vehicle state, and the standardized accident data provides hazard identification. This multi-functional approach reduces overall system complexity by using a single integrated framework rather than separate specialized systems.
3Reliability
If precautionary actions are triggered at curve locations on downhill roads, then driver safety improves, but false warnings may reduce system trust
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors vehicle position relative to identified hazard locations and adjusts warning triggers accordingly. The system learns from actual driving conditions and accident patterns to refine its hazard identification, reducing false warnings while maintaining safety. This feedback loop allows the system to distinguish between actual hazards and false positives.
Solution Approach 2:
The patent applies preliminary action by identifying hazard locations in advance through standardized accident data analysis and digital map data, then providing warnings before the vehicle reaches the actual curve. This advance notification gives drivers time to prepare for safe navigation while the system continuously validates the hazard classification to prevent false alarms.
Data Source
AI summary
Disclosed is a feature for a vehicle that enables taking precautionary actions in response to conditions on the road network around or ahead of the vehicle, in particular, a curve along a downhill road segment. A database that represents the road network is used to determine locations where a curve is located along a downhill road segment. Then, precautionary action data is added to the database to indicate such a location. A precautionary action system installed in a vehicle uses this database, or a database derived therefrom, in combination with a positioning system to determine when the vehicle is at such a location, at which a precautionary action is taken by a vehicle system.