Anticipatory AV Pick-Up Triggering for Low-Wait Remote Parking
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Solution Overview
Problem
Current ride-hailing and vehicle pick-up services require active user input for pick-up requests, leading to inefficiencies and frustration due to potential late or early arrivals, which can cause traffic congestion.
Innovation Solution
An anticipatory detection system for autonomous vehicles that uses a computing device with sensors to determine the vehicle's location, collect user and destination data, calculate a trigger value indicating the likelihood of a pick-up request, and autonomously initiate the pick-up when the value exceeds a threshold, without requiring conscious user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If active user input is required for pick-up requests, then user control and awareness are maintained, but user convenience and system efficiency deteriorate due to manual planning requirements
Solution Approach 1:
The system performs pick-up detection and initiation automatically without requiring user action. Sensors detect when the user has arrived at the pick-up location, and the system autonomously initiates the pick-up sequence, allowing the system to serve itself rather than requiring user service.
Solution Approach 2:
The system performs preliminary detection of user arrival at the pick-up location before the actual pick-up occurs. By detecting arrival in advance and calculating trigger values beforehand, the system prepares for pick-up proactively rather than reactively.
2Productivity
If pick-up time is determined by user request, then user scheduling flexibility is maintained, but traffic congestion and wait times worsen due to suboptimal arrival timing
Solution Approach 1:
The system performs preliminary detection of user arrival at the pick-up location and calculates trigger values in advance. By detecting arrival before the user actually needs the vehicle and initiating pick-up proactively, the system eliminates wait times and avoids traffic congestion from delayed or early arrivals.
Solution Approach 2:
The system continuously monitors sensor data including user presence, vehicle status, and location information. This feedback loop allows the system to dynamically adjust pick-up timing based on real-time conditions, optimizing arrival times to minimize congestion and wait times.
Data Source
AI summary
Systems and methods for performing anticipatory detection of a user's need to be picked up by an autonomous vehicle (AV) are provided. The method may comprise, using a computing device, comprising a processor and a memory, determining a location of an AV, determining whether a pick-up is required at the location, when a pick-up is required at the location, collecting data pertaining to a user and a destination, based on the data, calculating a trigger value indicative of a percent likelihood that a pick-up request is required, determining whether the trigger value is greater than a threshold value, and, when the trigger value is greater than the threshold value, triggering the pick-up, causing the AV to perform the pick-up.