Autonomous Vehicle Ride Matching for Precise Pickup Guidance
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Solution Overview
Problem
Integrating autonomous vehicles into mixed human-operated environments poses challenges in conveying rider instructions due to the absence of a human driver, leading to difficulties in precise pickup and drop-off locations and routes.
Innovation Solution
A ride matching system that includes graphical user interfaces (GUIs) for requesting, unlocking, and controlling autonomous vehicles, allowing riders to select localized pickup and drop-off locations, and providing real-time guidance through integrated computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles are deployed without human drivers, then automation level increases, but communication of rider instructions becomes difficult
Solution Approach 1:
The patent introduces a communication system as an intermediary between the rider and the autonomous vehicle. This system includes various input devices (microphone, camera, gesture recognition) that capture rider instructions, and output devices (display screen, speaker, haptic feedback) that convey vehicle status and confirmations, enabling effective communication without a human driver present
2Productivity
If autonomous vehicles operate without human operators, then operational efficiency improves, but precision in pickup and drop-off locations decreases
Solution Approach 1:
The patent implements a feedback mechanism where the autonomous vehicle continuously monitors its location using GPS and other sensors, compares it with the requested pickup/drop-off coordinates, and communicates status updates to the rider through the communication system. The rider can provide corrective instructions if the vehicle deviates from the precise location, ensuring accurate positioning while maintaining autonomous operation
Solution Approach 2:
The system allows riders to pre-specify exact pickup and drop-off coordinates and preferences before the vehicle arrives. The autonomous vehicle then navigates to these predetermined locations with high precision, eliminating the need for real-time manual guidance while ensuring accurate location execution
3Adaptability or versatility
If autonomous vehicles are integrated into mixed environments, then service coverage expands, but complexity of managing human-autonomous interaction increases
Solution Approach 1:
The communication system is designed to be universal and multi-functional, supporting multiple input methods (voice, text, gestures, eye tracking) and multiple output methods (visual display, audio feedback, haptic feedback). This allows the same system to handle various types of interactions in different contexts, simplifying the management of human-autonomous communication across diverse service scenarios
Data Source
AI summary
In one embodiment, a transportation system may receive a ride request of a requestor from a requestor computing device. In response to receiving the ride request, the transportation system may present an option to include an autonomous vehicle among available vehicle types for fulfilling the ride request. The transportation system may determine whether the option to include the autonomous vehicle was selected and match the ride request to a vehicle based on determining whether the option to include the autonomous vehicle was selected.