United Parcel Service of America, Inc.

Roadnet Technologies, Inc.

Omnitracs, LLC

Stephen Patrick Simon

Clifton Brian Kraisser

Vincent Cucchiara

Charles Heaps

Ralph Clementi

Thomas Mudd

Jay Delaney

Wesley Mays

Karl David Hurst

Francis McClellan

McClellan Francis

Ronald Shin-Yung Taur

Charles Virden

The disclosure provides a system and method of delivering packages. The system may include a plurality of land vehicles that transport a plurality of unmanned aerial vehicles (UAVs) to locations within a distance of delivery destinations. The system may determine, based on a number of packages to be delivered to destinations in a geographical area, a number of land vehicles to carry the packages to within a UAV round-trip range of each of the destinations. The system may allocate the number of packages to the number of land vehicles. The system may determine a route for each land vehicle that brings the land vehicle within the UAV round-trip range of each destination. The system may dispatch the UAVs carrying the packages from the land vehicle at dispatch locations along the respective route.

Vehicle and drone management system

The present invention provides systems, methods and computer program-product for calculating and storing time and distance information in an economical and efficient manner. The time and distance information may be used in the development of traversable networks for the delivery and retrieval of items from multiple locations in a timely and efficient manner.

Systems and methods for routing and scheduling visits to delivery locations

A rush hour modeling system that is configured for modifying existing travel time/distance data to reflect special traffic conditions, such as rush hour traffic conditions. The system is configured to receive information defining one or more time windows, geographic areas, and road segments in which special traffic conditions occur. The system is also configured to receive travel rules that reflect the special traffic conditions. The travel rules are used to modify a travel time/distance matrix to reflect the effect of the special traffic conditions on 'normal' travel times and distances. Existing routing and scheduling systems can then use the modified travel matrix to plan and schedule routes for delivery vehicles more accurately. Additionally, the modified travel matrix can be used to model traffic conditions through a particular geographic area or on a particular road segment.

Rush hour modeling for routing and scheduling

An improved scheduling system for scheduling, in real time, two or more customer visits (e.g. pickups, deliveries, or service visits) in response to a single request. The single request preferably specifies a date and a time window for a first customer visit, and a periodic schedule according to which the customer visit should reoccur. Accordingly, the system allows a user to use a single request to schedule a series of periodically-reoccurring customer visits. In one embodiment, responsive to the request, the system firmly schedules the first customer visit, and tentatively schedules all other customer visits in the series. Shortly before each tentatively scheduled customer visit is to occur, the system determines whether to make the tentatively scheduled customer visit in view of holidays, capacity, and cost. If so, the system firmly schedules the customer visit. If not, the system notifies the user and allows the user to reschedule the visit.

Systems and methods for scheduling reoccurring deliveries and pickups

Systems and methods for scheduling deliveries, in real time, to be made within one or more delivery time windows. For each requested delivery, the system dynamically determines whether to offer each time delivery window to the customer requesting the delivery based on whether: (1) it would be possible to complete, within the time window, both the requested delivery and all deliveries that were already scheduled to be made within the time window; and (2) it makes business sense to make the delivery within the particular time window. In determining whether it would make business sense to make the delivery within a particular time window, the system considers the cost of making the delivery, various attributes of the customer requesting the delivery, and the percentage of the delivery capacity associated with the delivery wave that has been reserved for previously scheduled deliveries.

Real-time delivery feasibility analysis systems and methods

Growing community of inventors

Sparks, MD, United States of America

Stephen Patrick Simon