Lane-Level Merge Hazard Detection for Dynamic Route Guidance
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Solution Overview
Problem
Current traffic navigation systems do not effectively detect and address dynamic, real-time dangerous merging situations, particularly on arterial roads experiencing sudden traffic congestion, which can lead to safety risks due to varying lane speeds.
Innovation Solution
A method and apparatus that dynamically detect dangerous merging situations by obtaining lane-level traffic speed information, comparing source and target lane speeds, and providing alerts or altering routes to avoid hazardous merges, using a dangerous merging situation value (DDM) calculation and merging indicators to prioritize safety over travel time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static data defining merging areas is used for route planning, then route planning simplicity is improved, but detection of dynamic dangerous merging situations deteriorates
Solution Approach 1:
The system transitions from static merging area definitions to dynamic detection by continuously monitoring real-time traffic speed data from multiple sources (GPS devices, cellular networks, road sensors). The dangerous merging situation value (DDMV) is dynamically calculated based on current source lane speed and target lane speed, enabling the system to adapt to changing traffic conditions and identify hazardous merging situations that occur outside predefined merging zones.
2Loss of time
If fastest route is prioritized in navigation, then travel time is reduced, but safety in merging situations deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring real-time traffic conditions and calculating the dangerous merging situation value (DDMV) based on current speed differentials between source and target lanes. When DDMV exceeds a threshold indicating hazardous conditions, the system provides feedback to the driver through alerts and notifications, enabling timely corrective actions to avoid dangerous merges while maintaining efficient route selection.
3Measurement precision
If lane-level speed monitoring is implemented, then detection accuracy of merging situations is improved, but data processing complexity increases
Solution Approach 1:
The system segments traffic monitoring by lane, collecting speed data independently for each lane from GPS devices, cellular networks, and road sensors. This lane-level segmentation enables precise detection of speed differentials between source and target lanes, improving the accuracy of dangerous merging situation identification. The segmented data is then processed using standardized algorithms to calculate DDMV, balancing precision with computational efficiency.
Data Source
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AI summary
A method, apparatus, and computer program product are provided for dynamically detecting dangerous merging situations. The method includes obtaining speed information for one or more road segments. The speed information includes lane-level traffic speed information. The method also includes determining a source speed of a source lane and a target speed of a target lane based on the speed information. The method further includes determining that a merging instance from the source lane into the target lane would be a dangerous merging situation based on a comparison of the source speed and the target speed. The method still further includes providing a signal based on the determination of a dangerous merging situation. A corresponding apparatus and computer program product are also provided.