Collaborative Automated Parking With AI-Based Space Allocation

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Solution Overview

Problem

Existing solutions for managing urban mobility spaces, such as curbside and parking areas, lack a scalable framework for sensor data capturing, efficient data communication, and dynamic management to accommodate various transportation modes and services, leading to inefficient use of these spaces.

Innovation Solution

A networked computing device utilizing infrastructure-based sensors and edge computing to collect and process data, enabling dynamic management of space allocation, service linking, and enforcement of geo-area specific policies through AI/ML, with vehicle-to-infrastructure communication for coordinated sharing and automated metering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional manual management methods are used for curbside and parking spaces, then operational simplicity is maintained, but space utilization efficiency and service management capability deteriorate

Engineering Contradiction:

Improvespace utilization efficiencyVSAvoidmanagement system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables automated space management through self-service mechanisms where sensors automatically detect occupancy, the platform dynamically allocates spaces, and users interact through mobile applications for reservations and payments, eliminating the need for manual management while optimizing space utilization

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual management operations are replaced with an automated digital platform that uses sensor networks, AI/ML algorithms, and mobile applications to handle space allocation, monitoring, and service coordination, transforming mechanical manual processes into automated electronic systems

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If static space allocation is used for curbside and parking areas, then management simplicity is maintained, but adaptability to demand fluctuations and events deteriorates

Engineering Contradiction:

Improveadaptability to demand and eventsVSAvoiddynamic management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements dynamic space allocation where the platform continuously adjusts space assignment based on real-time sensor data, user demand, and event information, allowing curbside and parking spaces to be dynamically reconfigured for different uses such as ride-sharing, delivery, or passenger loading based on current needs

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates continuous feedback loops where sensors monitor space occupancy and usage patterns, the platform analyzes this data with AI/ML algorithms to predict demand, and automatically adjusts space allocation in real-time, creating a responsive adaptive management system

Inventive Principle:

Principle #23Feedback

3Reliability

If comprehensive sensor data collection is implemented for all transportation modes, then service management capability is improved, but data communication overhead and processing complexity deteriorates

Engineering Contradiction:

Improveservice management reliabilityVSAvoiddata communication efficiency

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system segments data collection and processing by transportation mode (autonomous vehicles, valet parking, ride-sharing, delivery) and space type (curbside, parking lot, garage), with dedicated sensor networks and processing pipelines for each segment, reducing overall system complexity while maintaining comprehensive monitoring

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The platform acts as an intermediary layer between diverse sensor networks and management functions, standardizing data formats and protocols, which simplifies communication between various sensors and the central management system while maintaining data integrity and reliability

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12570274B2Infrastructure-based collaborative automated parking and location management

Publication Date: 2026.03.10 INTEL CORP

AI summary

Systems and techniques for location management are described herein. In an example, a system may include at least one processor and at least one memory with instructions stored thereon that when executed by the processor, cause the processor to obtain data originating from one or more sensors proximate to the location. A trained activity-based detection model may identify an activity at the location and perform a determination of a service to be offered at the location based on the detected activity. The system may then send a message to a user offering the service to the user, and in response to receiving an authorization accepting the service from the user, cause the service to be implemented at the location, which may include classifying the service as a service type, matching the service type to a service provider, and sending a notification to the service provider.