IMPROVED SHUTTLE SERVICE

The shuttle management server optimizes shuttle vehicle deployment using machine learning to enhance efficiency and resource utilization by considering user details, addressing inefficiencies in existing systems and reducing costs.

DE102025150683A1Pending Publication Date: 2026-06-18FORD GLOBAL TECH LLC
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Patent Information

Application Number
DE102025150683
Authority / Receiving Office
DE · DE
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-12-13
Filing Date
2025-12-04
Publication Date
2026-06-18

AI Technical Summary

Technical Problem

Existing shuttle deployment systems lack efficiency and optimization in managing shuttle vehicle deployment based on user details, leading to suboptimal resource utilization and increased costs.

Method used

A shuttle management server executes a machine learning optimization algorithm to optimize shuttle vehicle deployment by considering user details such as location, travel route, luggage status, and behavior, thereby improving the efficiency and resource allocation of shuttle fleets.

Benefits of technology

The solution enhances resource savings by using the right-sized vehicles, reduces overhead costs, and minimizes vehicle wear by deploying vehicles only when needed, while ensuring timely pickups and reducing wait times for users.

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Abstract

A method for improved shuttle pickup management involves sending details about shuttle users from a multitude of users to a shuttle pickup management server. These details include at least one estimated time of arrival (ETA) of the shuttle users at a designated pickup area, details regarding any luggage of the multitude of users, a travel route of the shuttle users, or the location of the shuttle users' vehicles. The shuttle pickup management server executes a machine learning optimization algorithm to optimize at least one property that reflects key performance indicators of a shuttle fleet. Based on the machine learning optimization algorithm, the shuttle pickup management server then deploys at least one shuttle vehicle from a multitude of shuttle vehicles to the designated pickup area, such that the shuttle deployment optimizes the at least one property.
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