Intersection Threat Indexing Using Geometry and Real-Time Risk Data
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Solution Overview
Problem
Current techniques for identifying regions of heightened collision risk at intersections rely on historical collision data, failing to account for increased risks not associated with previous collisions and are inefficient and inaccurate due to manual reporting.
Innovation Solution
Utilizing geometry data to generate threat index values based on intersection complexity and real-time information, including dynamically received notifications, to identify potential collision risks and provide visual or auditory alerts to vehicle operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If historical collision data is used to identify high-risk intersections, then regions with previous collisions can be detected, but regions with increased collision risk not associated with previous collisions cannot be identified
Solution Approach 1:
The system performs preliminary analysis of intersection geometry and historical collision data to generate baseline threat index values before real-time conditions change. This preliminary assessment creates a foundation that can be updated with new data, allowing the system to detect both historical hotspots and emerging risks at intersections without previous collision history
Solution Approach 2:
The system continuously updates threat index values by combining historical data with real-time feedback from multiple sources including current traffic conditions, weather, and incident reports. This feedback mechanism allows the system to adapt to new risk patterns while maintaining awareness of established high-risk locations
2Quantity of substance
If manual reporting of historical collisions is used, then collision data can be collected, but the process becomes inefficient and inaccurate
Solution Approach 1:
The system automatically collects and processes collision data from multiple sources including traffic sensors, weather stations, and incident reporting systems without requiring manual data entry. This self-service approach eliminates the inefficiencies and inaccuracies of manual reporting while maintaining comprehensive data collection
Solution Approach 2:
The system introduces automated data collection intermediaries such as sensors, satellites, and digital reporting systems that bridge the gap between collision events and the analysis system. These intermediaries capture and transmit data automatically, replacing manual reporting processes and improving both efficiency and accuracy
3Power
If simple geometric analysis is used to determine threat indices, then processing is computationally efficient, but the ability to account for complex real-time conditions is limited
Solution Approach 1:
The threat index calculation is segmented into multiple hierarchical levels: basic geometric factors provide a foundation, which is then refined by adding layers of complexity including traffic patterns, weather conditions, and real-time incidents. This segmentation allows computationally efficient processing of core geometry while systematically incorporating more complex factors as needed
Solution Approach 2:
The system calculates threat index values using all available factors simultaneously, including geometric, environmental, traffic, and incident data. Rather than selectively applying only necessary factors, the system comprehensively processes all inputs to ensure no risk factor is overlooked, then prioritizes the most relevant factors for decision-making
Data Source
AI summary
Embodiments of the present disclosure provide systems and methods for determining intersection threat indices. In one embodiment, geometry data representing a set of pathways in an environment is identified. An initial threat index value for a first intersection is generated based on a quantity of pathways in a subset of the set of pathways defining the first intersection. An intermediate threat index value for the first intersection is generated based on the initial threat index value for the first intersection and at least one other initial threat index value for at least one other intersection determined to be adjacent to the first intersection. A final threat index value is generated based on the intermediate threat index value and dynamically received data. Information indicative of the final threat index value for the first intersection is provided to a user interface.