Dynamic Safety Zone Definition for Vehicle Speed Adjustment
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Solution Overview
Problem
Current safety systems for vehicles lack the ability to dynamically adjust speed based on varying scenarios, such as pedestrians or bicyclists, as existing systems primarily rely on static laws and obstacle detection, failing to account for dynamic conditions like emergency situations or road hazards.
Innovation Solution
A computer-implemented method and system that dynamically defines spatial safety zones around participants by receiving real-time safety data and driving event data, determining safety zones, and sending safety notifications to vehicles to adjust their speed accordingly, using a central server or participant device-based approach.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static laws and obstacle detection systems are used, then vehicle safety is maintained at a baseline level, but the system cannot dynamically adjust to varying scenarios such as pedestrians, bicyclists, or emergency situations
Solution Approach 1:
The patent implements dynamic safety zones that adjust their spatial parameters in real-time based on detected conditions. The system transitions from static obstacle detection to dynamic geofencing where safety zone boundaries continuously adapt to the presence of vulnerable road users, emergency vehicles, and environmental factors, resolving the contradiction between adaptability and complexity through motion-based adjustment rather than complex rule sets
Solution Approach 2:
The system changes key parameters including safety zone radius, vehicle speed limits, and warning thresholds based on detected scenarios. By dynamically adjusting these parameters rather than using fixed rules, the system achieves high adaptability to varying road conditions while maintaining manageable complexity through parameter-based control
2Reliability
If real-time safety data and dynamic safety zones are implemented, then collision risks are reduced and safety is improved, but the computational requirements and data processing complexity increase
Solution Approach 1:
The system pre-establishes safety zone templates and response protocols for various scenario types (pedestrian, bicyclist, emergency vehicle). When a scenario is detected, the system matches it against predefined templates rather than calculating everything from scratch, reducing real-time computational complexity while maintaining high reliability through pre-validated safety parameters
Solution Approach 2:
The system implements continuous feedback loops where sensor data feeds into safety zone adjustments, which in turn generate vehicle control commands. This closed-loop feedback mechanism ensures high reliability by constantly monitoring and adjusting safety parameters, while the feedback architecture itself manages complexity through modular information flow
3Productivity
If safety zones are dynamically adjusted based on real-time conditions, then speed recommendations can be optimized for each scenario, but the response time and system latency may increase
Solution Approach 1:
The system merges multiple detection functions (pedestrian detection, bicyclist detection, emergency vehicle detection) into a unified safety zone management framework. By combining these functions rather than processing them separately, the system achieves efficient speed recommendations while reducing overall response time through consolidated data processing and unified control logic
Data Source
AI summary
Systems and methods for dynamically defining a safety zone around a user are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, real-time safety data including a location of a remote participant device of a user; receiving, by the computing device, real-time driving event data from a remote vehicle; determining, by the computing device, a spatial safety zone for the remote participant device based on the real-time safety data and the real-time driving event data; determining, by the computing device, that the remote vehicle has entered the spatial safety zone; and sending, by the computer device, safety information regarding the user to the remote vehicle based on the remote vehicle entering the spatial safety zone.