Collision Warning Mediation for Pedestrians and Bicyclists
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Solution Overview
Problem
Existing systems lack effective methods to prevent collisions between vehicles and pedestrians or between slower-moving vehicles, particularly in conditions where visibility is poor or drivers are distracted.
Innovation Solution
The implementation of computing-and-communication systems (CCSs) that detect warning-triggering conditions, such as the presence of pedestrians or slower-moving vehicles, and issue safety warnings through various communication channels, including visual, auditory, and haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computing-and-communication systems are implemented to detect warning-triggering conditions and issue safety warnings, then safety of pedestrians and bicyclists is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single computing-and-communication system platform, including detection of various warning-triggering conditions (pedestrian presence, vehicle proximity, collision risk), multiple communication methods (visual warnings, auditory warnings, haptic feedback), and statistical analysis capabilities. This multi-functional integration improves safety without proportionally increasing device complexity.
Solution Approach 2:
The patent introduces computing-and-communication systems as intermediary devices between potential collision participants (vehicles, pedestrians, bicyclists). These systems mediate safety by detecting dangerous conditions and communicating warnings to relevant parties, thereby preventing collisions without requiring direct modification of all involved vehicles or infrastructure.
2Reliability
If multiple warning methods (visual, auditory, haptic) are implemented, then safety warning effectiveness is improved, but device complexity increases
Solution Approach 1:
The system dynamically selects and adjusts warning methods based on the specific situation and detected conditions. Rather than continuously operating all warning systems, the computing-and-communication system activates appropriate warning modalities (visual, auditory, haptic) based on real-time assessment of the dangerous condition, improving effectiveness while managing complexity through conditional operation.
Solution Approach 2:
The warning system is segmented into distinct functional modules (visual warning module, auditory warning module, haptic feedback module), each handling specific types of alerts. This segmentation allows the system to implement multiple warning methods independently and activate only those needed for each specific dangerous condition, reducing overall complexity while maintaining comprehensive safety coverage.
Data Source
AI summary
Systems and methods for triggering and issuing safety warnings, including a risk-assessment system that collects movement data pertaining to each of a plurality of subsystems including one or more slow-moving subsystems (SMSSs) and/or one or more fast-moving subsystems (FMSSs). The risk-assessment system identifies, based at least in part on the collected movement data, an instance in which each of a set of warning-triggering conditions is true. The set includes (i) that a likelihood of a collision occurring among an identified subset of the plurality of subsystems is greater than a collision-probability threshold and (ii) that at least one of the subsystems in the identified subset has at least one current movement anomaly. In response to identifying the instance, the risk-assessment system issues at least one warning to at least one of the subsystems in the identified subset.