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
View PDF 0 Cites 0 Cited by
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Applications
- Current Assignee / Owner
- FORD GLOBAL TECH LLC
- 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.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 00000000_0000_ABST
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.
Need to check novelty before this filing date? Find Prior Art