Autonomous Ride-Sharing Health Detection for Exposure Control
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Solution Overview
Problem
Ride-sharing services face challenges in reducing the transmission of infectious diseases among passengers, as existing technologies do not effectively detect and mitigate exposure risks, particularly in autonomous vehicles where passengers may be exposed to contaminated areas.
Innovation Solution
The implementation of sensors such as cameras, microphones, and thermometers in autonomous vehicles to collect data on passenger health, determining the likelihood of illness, and communicating with a fleet management system to adjust dispatch protocols, including temporary suspension or cleaning of vehicles, to minimize exposure risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ride-sharing services operate during pandemics, then productivity and service availability are maintained, but passengers face increased exposure risk to infectious diseases
Solution Approach 1:
The system performs preliminary health assessments of passengers before allowing them to board vehicles. Sensors detect health indicators such as temperature, respiratory rate, and other vital signs to determine if a passenger is likely ill before they enter the vehicle, preventing potential transmission from the outset
Solution Approach 2:
The system continuously monitors passenger health during rides and provides real-time feedback to the fleet management system. When illness is detected during a ride, the system automatically notifies authorities and adjusts dispatch protocols to prevent further exposure, creating a closed-loop safety mechanism
2Reliability
If sensors and health monitoring systems are deployed in vehicles, then passenger safety is improved, but device complexity and cost increase
Solution Approach 1:
The system uses multi-functional sensors that can detect multiple health indicators (temperature, respiratory rate, heart rate) and environmental conditions (air quality, contaminants) with a single integrated platform. This reduces the number of separate devices needed while maintaining comprehensive health monitoring capabilities
Solution Approach 2:
The system automatically processes health data, makes illness determinations, and triggers appropriate responses without requiring manual intervention. The fleet management system autonomously adjusts dispatch protocols and notifies authorities based on sensor data, reducing operational complexity despite increased technical capabilities
3Object-affected harmful factors
If vehicles are suspended or cleaned frequently to prevent transmission, then exposure risk is reduced, but productivity and service efficiency decrease
Solution Approach 1:
The system identifies and isolates potentially ill passengers before they can transmit disease to others. By detecting health issues at the point of boarding or during early stages of a ride, the system prevents outbreaks rather than responding to them, minimizing vehicle suspensions
Solution Approach 2:
Real-time monitoring provides immediate feedback when illness is detected, allowing for rapid response and isolation of affected vehicles. This prevents widespread transmission and limits the number of vehicles that need to be taken out of service, maintaining overall fleet productivity
Data Source
AI summary
The disclosed technology provides solutions for protecting the health of ride-sharing passengers by detecting passenger illnesses, and taking precautions to safely address potentially exposed vehicles. A process of the disclosed technology can include steps for: collecting sensor-data corresponding with one or more AV passengers, determining a likelihood that at least one of the AV passengers is suffering from a physical illness, and transmitting a wellness notification to a fleet management system if the likelihood exceeds a predetermined threshold. Systems and machine-readable media are also provided.