UAV Crowd Pressure Monitoring and Feedback Control
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Solution Overview
Problem
Existing crowd management strategies fail to effectively predict and mitigate crowd stampedes, leading to uncontrolled movements and potential harm due to inadequate real-time monitoring and response mechanisms.
Innovation Solution
An unmanned aerial vehicle equipped with a processor-based monitoring device, crowd estimator, and ameliorative action generator that monitors crowd data, estimates crowd pressure, and automatically triggers feedback outputs to prevent or manage crowd events by directing individuals to safe exits and reducing shockwave propagation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional crowd management strategies (barrier fencing, exit signage, push bars) are used, then crowd movement control is provided, but real-time prediction and mitigation of crowd stampedes is insufficient
Solution Approach 1:
The system implements feedback by continuously monitoring crowd data through monitoring devices, estimating crowd pressure values, and automatically triggering ameliorative actions when thresholds are exceeded. This closed-loop feedback mechanism enables real-time detection and response to crowd pressure changes, preventing stampedes before they occur rather than merely managing crowd flow with static barriers and signage.
2Reliability
If manual crowd monitoring and response is implemented, then crowd events can be detected, but response time is delayed and effectiveness is reduced
Solution Approach 1:
The system performs preliminary action by continuously estimating crowd pressure values and comparing them against predetermined thresholds before actual stampede conditions develop. When the crowd pressure estimation value exceeds the threshold, ameliorative actions are automatically triggered in advance, allowing intervention before the crowd event escalates into a dangerous situation, thus reducing response time and improving detection effectiveness.
3Productivity
If automated ameliorative actions are implemented, then real-time crowd control is improved, but system complexity increases
Solution Approach 1:
The system implements self-service by automatically performing ameliorative actions based on crowd pressure estimation without requiring manual intervention. The automated system monitors crowd data, estimates crowd pressure values, compares them against thresholds, and triggers appropriate ameliorative actions autonomously, improving crowd management efficiency while the modular architecture keeps system complexity manageable through standardized components and processes.
Data Source
AI summary
An unmanned aerial vehicle for providing ameliorative action. The unmanned aerial vehicle includes a processor-based monitoring device to monitor a plurality of individuals to determine crowd data associated with the plurality of individuals, a crowd estimator configured to receive the crowd data to estimate a crowd pressure estimation value indicative of a likelihood of a crowd event, the crowd pressure estimation value being based on the crowd data, and an ameliorative action generator to automatically perform a function when the crowd pressure estimation value exceeds a predetermined threshold value, wherein the function includes activating one or more feedback outputs configured to provide an ameliorative action.