Abstract:
An ad-hoc logistics solution can identify optimal solutions for the spatio-temporal problem of adding a transport to the route calendar of a transport vehicle.□ For example, an initial set of transport assignments that may be added to a route calendar of a driver of a vehicle can be identified by eliminating potential transport assignments for which the vehicle does not meet equipment and/or accessibility criteria for a location associated with the potential transport assignment, and suggestions can be found for insertion of a candidate transport assignment from the initial set of transport assignments into the route calendar. The suggestions can be validated by applying a set of constraints to determine whether each suggestion is feasible and then ranked such that a highest ranked suggestion is placed into the route calendar.
Abstract:
Methods, systems, and computer-readable storage media for selective use of Internet-of-Things (IoT) data in data analytics systems. Implementations include receiving IoT data from an IoT device, determining that hardening is to be applied to the IoT data, comparing a timestamp of the IoT data to a hardening value, and in response to comparing, selectively using the IoT data in one or more uses by the data analytics system.
Abstract:
Methods, systems, and computer-readable storage media for selective segmentation of Internet-of-Things (IoT) data in data analytics systems. Implementations can include receiving IoT data from an IoT device, determining that segmentation is to be applied to the IoT data, determining a segment start and a segment end for a segment based on one of a property represented in the IoT data and a property value represented in the IoT data, and providing a table that records the segment independently of the IoT data.
Abstract:
Methods, systems, and computer-readable storage media for selective use of Internet-of-Things (IoT) data in data analytics systems. Implementations include receiving IoT data from an IoT device, determining that hardening is to be applied to the IoT data, comparing a timestamp of the IoT data to a hardening value, and in response to comparing, selectively using the IoT data in one or more uses by the data analytics system.
Abstract:
Methods, systems, and computer-readable storage media for selective segmentation of Internet-of-Things (IoT) data in data analytics systems. Implementations can include receiving IoT data from an IoT device, determining that segmentation is to be applied to the IoT data, determining a segment start and a segment end for a segment based on one of a property represented in the IoT data and a property value represented in the IoT data, and providing a table that records the segment independently of the IoT data.
Abstract:
Using a mobile solution as described, external logistics providers can be readily on-boarded into a logistics network and identified as trusted providers at a customer or other transport participant site. For example, an electronic authentication token can be provided to a first mobile device of an external logistics provider operator to authorize the external logistics provider operator for a specific transport assignment. When a request for verification is received from an other transport participant in the transport assignment a server can verify that the external logistics provider operator is registered and authenticated for the transport assignment, and notify the other transport participant via a confirmation message to a second mobile device used by the transport participant.