Adaptive Safety Zone Projector for Dynamic Pedestrian Buffering
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Solution Overview
Problem
Existing safety devices for bicyclists and pedestrians lack adaptability to varying environmental and traffic conditions, resulting in inadequate protection during reduced visibility or hazardous road conditions.
Innovation Solution
A system comprising a projector, monitor, and computing module that uses sensors and inferential models to dynamically adjust a virtual lane's size and shape based on factors like pavement condition, pedestrian stability, and traffic congestion, projecting a lighted shape to create an adaptive zone of safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed-size virtual lane is projected for bicyclists, then the device complexity is reduced and ease of operation is improved, but the adaptability to varying environmental and traffic conditions deteriorates
Solution Approach 1:
The virtual lane width is made dynamic rather than fixed. The system continuously adjusts the lane width based on real-time sensor data about environmental conditions (weather, lighting, road surface) and traffic conditions (vehicle proximity, speed). This allows the safety zone to adapt to varying conditions while maintaining a manageable system through automated sensor-based control.
Solution Approach 2:
The system incorporates feedback loops where sensors monitor environmental and traffic conditions, the computing module processes this data to determine appropriate lane width adjustments, and the projector updates the virtual lane accordingly. This closed-loop feedback enables adaptability while automating the complexity of decision-making.
2Reliability
If the virtual lane width is increased to provide more safety buffer, then the safety margin is improved, but the visibility and awareness for other road users may be reduced due to lane narrowing
Solution Approach 1:
The virtual lane width dynamically adjusts based on real-time conditions. When environmental conditions are favorable (good lighting, dry roads, light traffic), the lane narrows to maintain visibility for other road users. When conditions deteriorate (rain, darkness, heavy traffic), the lane widens to provide enhanced safety buffers, automatically balancing safety and visibility.
Solution Approach 2:
The system changes the physical parameter of lane width based on detected conditions. Sensors monitor environmental factors and traffic conditions, triggering parameter changes in the projected lane dimensions to optimize both safety margins and road user visibility under varying circumstances.
3Adaptability or versatility
If sensors and inferential models are added to dynamically adjust the virtual lane, then the adaptability is improved, but the device complexity and cost increase
Solution Approach 1:
The system uses multi-functional sensor arrays that serve both primary navigation purposes and secondary safety monitoring functions. The same sensors used for basic bicycle operation also detect environmental conditions and traffic patterns, eliminating the need for separate dedicated safety sensors and reducing overall system complexity.
Solution Approach 2:
The bicycle's existing computational resources and sensor suite automatically perform safety zone calculations and adjustments without requiring additional dedicated hardware. The system leverages the bicycle's own processing power and existing sensors to provide adaptive safety features, minimizing added complexity.
Data Source
AI summary
Various systems and methods for providing an adaptive zone of safety are described herein. An apparatus comprises a projector to project a lighted shape on a travel surface, the lighted shape demarcating the adaptive zone of safety; a monitor to monitor a path of a pedestrian travelling over the travel surface; and a computing module to adaptively adjust the lighted shape based on at least one of the travel surface or the path.