Predictive Vehicle Pickup Using Beacon and Event Detection
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Solution Overview
Problem
Current mechanisms for requesting ride services require cumbersome user input, constrained by technological limitations of user devices and the need for manual interaction, which can be inefficient.
Innovation Solution
A system that uses a server computer to instruct a vehicle to navigate to a pickup location based on current user location data from a first device and data about a user event from a second device, minimizing manual input, utilizing beacons, smart appliances, and wearable devices to determine user location and events for autonomous vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user provides input via phone, computer, or electronic communication device to request ride service, then the ride service can be requested, but the process becomes cumbersome and inefficient due to technological limitations of user devices and manual interaction requirements
Solution Approach 1:
The system enables self-service by automatically detecting user location through beacons and smart appliances, and predicting ride needs based on user events detected by wearable devices and other sensors, eliminating the need for manual user input through phones or computers
Solution Approach 2:
The system performs preliminary actions by continuously monitoring user location and events in advance, predicting ride requirements before the user explicitly requests them, and preparing vehicle dispatch in advance based on detected user patterns and events
2Reliability
If the system requires manual user input through electronic devices, then user intent can be captured, but the process is constrained by device accessibility and technological limitations
Solution Approach 1:
The system uses multiple data sources including beacons, smart appliances, and wearable devices that can function across various user situations and environments, making the ride request system universally applicable regardless of whether the user has access to a phone, computer, or other electronic device
Solution Approach 2:
The system introduces intermediary devices such as beacons, smart appliances, and wearable devices that mediate between the user and the ride service system, capturing user location and event data without requiring direct user input through traditional electronic communication devices
3Measurement precision
If the system uses multiple data sources including beacons, smart appliances, and wearable devices, then location and event detection precision is improved, but system complexity increases
Solution Approach 1:
The system segments the data collection function across multiple independent components including beacons for location, smart appliances for event detection, and wearable devices for user monitoring, allowing each component to specialize in specific measurements while working together to provide comprehensive data
Data Source
AI summary
A computer is programmed to instruct a vehicle to navigate to a pickup location based on a current user location received from a first device and data about a user event received from a second device.