Zum Services, Inc.

Novartis Ag

University of Pennsylvania

Abhishek Garg

Andrew Mormysh

Vivek Garg

Ritu Narayan

Melissa Shiu

Rohit Jain

Sidi Liu

Niket Sanghvi

Gustavo Ocasio

Rashmi Choudhary

Constantine Gerasimovich

Lipi Sanghi

Michael C Milone

Jennifer Brogdon

David Jonathan Glass

Joan Mannick

Leon Murphy

Jan J Melenhorst

Felipe Bedoya

Hans Bitter

Elena Orlando

Shiva Nagabushanaswamy

Alexey Kononov

Sreejith Nair

Kanstantsin Gerasimovich

Corin Dorfmeier

Ivan Vasilko

Nicholas Wilcox

Himanshu Arora

A system and method include a device associated with a user. The device may identify to a server computer a route to be reassigned from a first vehicle to a second vehicle among a fleet of vehicles. The server device may include an artificial intelligence engine which compares the route to be reassigned to a plurality of route groups associated with one of the administrator and the ride requestor. The server device may further identify one or more route groups which are able to service the route to be reassigned based on the artificial intelligence engine. The server device may transmit a graphical representation of one or more of the plurality of route groups which is proximally available in terms of location and time, as determined by the artificial intelligence engine to service the route to be reassigned with a color coded indicator. The server device reassigns the route.

Route stacking in a fleet routing system

A system and method include a server computer that determines a plurality of routes and corresponding route schedules for a plurality of ride service requests. The server computer assigns a plurality of vehicles to service each one of the plurality of routes and further assigns one of the plurality of vehicles to one of a plurality of drivers to perform the route according to the route schedule. The server computer may detect an exception to the route schedule, identify a resolution to the exception, and automatically implement the resolution to the exception.

Fleet routing control system and method

A system and method include server computer which may generate a route service request to service a route with a vehicle and identify a start location for the route and one or more stop locations of the route based on historical data associated at least with one of the route or the vehicle. The server computer may proceed to determine a probability that each of the one or more stop locations for the route will be serviced by the vehicle for the route and automatically select, based on the probability associated with each one of the one or more stop locations for the route, a subset of stop locations among the one or more stop locations. The server computer may then assign the subset of stop locations to the route, and transmit routing navigation instructions to a device associated with the vehicle.

Systems and methods for predicting a stop location in a vehicle routing system

A system and method that includes a server computer which receives one or more vehicle inspection results including at least one of: an issue notification identifying an issue with an interior or exterior component of a vehicle or a driver certification that a vehicle is operable. If an issue notification is received, then a report of the issue is transmitted from the server computer to a maintenance information device and, in response, a maintenance certification that the vehicle is operable is received by the server computer from the maintenance information device. Responsive to receiving the driver certification or the maintenance certification, the server computer automatically selects the associated vehicle for a particular route service and the vehicle is assigned to perform the particular route service based on a request received by the server computer.

Fleet routing maintenance system and method

A server computer receives a routing request for providing a ride service and retrieves a start location and destination from the request. The server computer identifies a plurality of routes connecting the start location and destination among historical route information collected over a period of time. The routes are traveled by one or more vehicles and reported during the period of time. The server computer identifies a selected route, including a plurality of waypoints, among the plurality of routes based on the selected route having a higher probability to be taken. The server computer multiplies an identified time duration for each waypoint with a determined adjustment factor for each time duration to determine an augmented time duration for each waypoint, determines a sum of all the augmented time durations as the estimated time for arrival, and transmits the estimated time of arrival to the user device.

Systems and methods for real-time estimated time of arrival in route selection and navigation

A system and method include providing a list of children to be picked up by a vehicle at a particular stop along a route to a driver device. The provided list is displayed as part of a graphical user interface which includes a plurality of pick up options for each child in the list of children. The options include a picked up interface button, a no show interface button and a canceled button. The graphical user interface provides a picture and identification of each child. The server device transmits a message to a user device with confirmation that a child has been picked up. The server device also provides a list of children to be dropped off by the vehicle via a graphical user interface that also provides drop off options for each child in the list of children including a dropped off button or an on hold button.

Student custody monitoring and tracking in a fleet routing system

A system and method that includes a ride requestor device, a driver device, a server device, and a user device is disclosed. The ride requestor device provides rider information and stop location information for a plurality of riders. The driver device provides location information, navigation information, and stop timing information for a particular vehicle in a fleet of vehicles. The server device includes an artificial intelligence engine which generates and optimizes a plurality of routes for service by the fleet of vehicles to provide a ride to each one of the plurality of riders.

Fleet routing system and method

This disclosure generally relates to a method and system for scheduling a ride for a third party by a ride requestor. In one embodiment, the method includes receiving a ride request for a third party rider from a user device. The method may further include identifying a set of drivers from a trusted drivers and identifying from the set of trusted drivers, an optimal driver. The method may further include transmitting a ride confirmation to the ride requestor, the optimal driver, and the third party rider.

System for transporting a vulnerable population to a desired destination by one or more drivers in a set of trusted drivers

A graphical user interface and a system are provided which include a route identification interface element which specifies a new route for a vehicle, a plurality of route type buttons, a vehicle type interface, a stop order interface, a map, a control button, and an assignment button. The stop order interface identifies one or more stops for a vehicle in a fleet of vehicles. The map identifies the new route and the one or more stops graphically on the graphical user interface. The control button provides a utilization view for the one or more vehicles in the fleet of vehicles from which a vehicle from the one or more vehicles in the fleet of vehicles that are available can be assigned to the new route.

User interface for fleet routing system

This disclosure generally relates to a method and system for requesting a ride for a third party rider. In one embodiment, a user device may be used to transmit a ride request to a server for a third party rider. The user device may receive an indication of a driver from a set of trusted drivers among a pool of drivers. Further, the user device and a device associated with the third party user may receive a ride confirmation.

Method and system for scheduling a ride service for one or more third parties

This disclosure generally relates to a method and system for providing a ride for a third party rider at the request of a user ride requestor. In one embodiment, a driver device may be used to receive a ride request from one or more server computing devices for a third party rider. The driver device may receive information identifying the third party rider, including a password. Further, the driver device may transmit real time ride status information to the ride requestor directly or indirectly via the one or more server computing devices.

Method and system for scheduling a driver service provider for one or more third parties

Cancer biomarkers and methods of using them are disclosed.

Growing community of inventors

Cambridge, MA, United States of America

Abhishek Garg