Parking Zone Selection for Compliant Autonomous Ride Pickup
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Solution Overview
Problem
Autonomous vehicles often navigate to suboptimal parking spaces and fail to adhere to local parking rules and expectations, leading to inefficient and unsafe pickup and drop-off maneuvers.
Innovation Solution
Implement a parking management component that generates and updates parking zones based on environmental data, allowing vehicles to identify suitable parking spaces and follow local rules by using geofence-like areas with defined parameters, enabling passengers to select preferred pickup and drop-off locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous vehicles navigate to any available parking space for pickup and drop-off, then vehicle availability and service coverage are improved, but compliance with local parking rules and optimality of parking space selection deteriorate
Solution Approach 1:
The system pre-generates parking zones and identifies suitable parking spaces before the vehicle arrives at the pickup location. By performing this analysis in advance, the vehicle can directly navigate to compliant parking spaces without violating local parking rules, thus maintaining both service availability and rule compliance
Solution Approach 2:
The patent introduces an intermediary system that acts as a mediator between the vehicle navigation system and parking space selection. This intermediary processes parking zone data, applies local parking rules, and generates optimized parking space recommendations, ensuring compliance while maintaining service coverage
2Ease of operation
If vehicles use generic parking selection techniques without location-specific rules, then operational simplicity is improved, but parking optimality and adherence to local expectations deteriorate
Solution Approach 1:
The system divides the operating environment into distinct parking zones, each with its own local characteristics and rules. By applying location-specific criteria to each zone rather than using a uniform approach, the system achieves optimal parking space selection while maintaining ease of operation through automated zone-based decision-making
3Extent of automation
If passengers have no input on pickup location selection, then system automation is improved, but passenger convenience and preference satisfaction deteriorate
Solution Approach 1:
The system dynamically adjusts the level of automation based on passenger preferences. Passengers can choose between fully automated parking space selection or manually selecting from pre-identified suitable options within recommended parking zones, allowing the system to maintain high automation while accommodating individual convenience needs
Data Source
AI summary
Techniques for facilitating ride requests using parking zone(s) are described herein. A ridesharing application may receive a request to transport a potential passenger from a starting location to a destination location. Based on the request, the ridesharing application may determine and/or display a recommended pickup and/or drop off location to a user interface of a user device. The potential passenger may accept or reject the recommended location(s). Based on rejecting the recommended location(s), the ridesharing application may retrieve one or more parking zones and cause such parking zones to be displayed via the user interface. The passenger may select which of the parking zones within which the passenger would like to the picked up or dropped off. Based on the passenger selecting a parking zone and/or confirming the ride request, the rideshare application may send the ride request to a vehicle in a fleet of vehicles.