G06Q10/047

Customized route tracking

Disclosed are systems, methods, and non-transitory computer-readable media for automated fleet tracking. A route management system enables fleet managers to define and assign routes for vehicles in a fleet, as well as set route tracking configurations for customized tracking of the vehicles. For example, the route tracking configuration may include customizations to the scheduled start and/or end time of a route, a threshold for determining that a vehicle has arrived and/or departed from a scheduled stop, and the like.

EARLY NOTIFICATION OF NON-AUTONOMOUS AREA
20230005068 · 2023-01-05 ·

The disclosure provides an early notification system to alert a driver of an approaching unsafe autonomous or semi-autonomous driving zone so that a driver may switch vehicle to a non-autonomous driving mode and navigate safely through the identified location. In response, to a determination of an upcoming unsafe autonomous or semi-autonomous driving zone, the driver or system may take appropriate actions in response to the early notification.

SYSTEMS AND METHODS FOR MODIFYING AND TRANSMITTING PATROL ROUTES
20230003534 · 2023-01-05 ·

Methods for modifying a patrol route of a safety officer include monitoring persons within geographic areas, identifying a safety officer, tracking an elapsed time value for each of the persons indicating a respective quantity of time since a person has been within a threshold proximity to the safety officer, determining a total elapsed time value for each of the geographic areas based on the respective elapsed time values for each of the persons currently located in the geographic area, determining that a patrol route of the safety officer should be modified based on the total elapsed time value for each of the geographic areas, modifying the patrol route of the safety officer, and transmitting the modified patrol route to the safety officer. The modified patrol route indicates that the safety officer is to patrol a given geographic area of the geographic areas.

ORDER FULFILLMENT USING ROUTES
20230237428 · 2023-07-27 ·

A system includes a plurality of stocked items arranged throughout a store for picking, a central computing system, and a mobile scanning device. The central computing system is configured to receive a customer order that includes a plurality of ordered items indicating which of the stocked items are to be picked. Each of the ordered items is associated with a location in the store. The central computing system is configured to generate a route for the customer order. The route indicates a sequence in which one or more of the ordered items should be picked. The mobile scanning device includes a display and is configured to wirelessly receive the route from the central computing system and arrange items included in the route on the display based on the sequence indicated in the route.

ORDER FULFILLMENT USING ROUTES
20230237428 · 2023-07-27 ·

A system includes a plurality of stocked items arranged throughout a store for picking, a central computing system, and a mobile scanning device. The central computing system is configured to receive a customer order that includes a plurality of ordered items indicating which of the stocked items are to be picked. Each of the ordered items is associated with a location in the store. The central computing system is configured to generate a route for the customer order. The route indicates a sequence in which one or more of the ordered items should be picked. The mobile scanning device includes a display and is configured to wirelessly receive the route from the central computing system and arrange items included in the route on the display based on the sequence indicated in the route.

SYSTEMS AND METHODS FOR FACILITATING GENERATION OF A CARBON OFFSET BASED ON PROCESSING OF A RECYCLABLE ITEM
20230004945 · 2023-01-05 · ·

Disclosed herein is a method for facilitating generation of a carbon offset based on processing of a recyclable item. Accordingly, the method may include receiving, using a communication device, transportation data associated with transportation of at least one recyclable item from at least one first device. Further, the method may include analyzing, using a processing device, the transportation data. Further, the method may include determining, using the processing device, a carbon value associated with the transportation of the at least one recyclable item based on the analyzing. Further, the method may include generating, using the processing device, a net CO.sub.2e offset associated with the at least one recyclable item based on the carbon value. Further, the method may include storing, using a storage device, the net CO.sub.2e offset associated with the at least one recyclable item in a distributed ledger.

SYSTEMS AND METHODS FOR FACILITATING GENERATION OF A CARBON OFFSET BASED ON PROCESSING OF A RECYCLABLE ITEM
20230004945 · 2023-01-05 · ·

Disclosed herein is a method for facilitating generation of a carbon offset based on processing of a recyclable item. Accordingly, the method may include receiving, using a communication device, transportation data associated with transportation of at least one recyclable item from at least one first device. Further, the method may include analyzing, using a processing device, the transportation data. Further, the method may include determining, using the processing device, a carbon value associated with the transportation of the at least one recyclable item based on the analyzing. Further, the method may include generating, using the processing device, a net CO.sub.2e offset associated with the at least one recyclable item based on the carbon value. Further, the method may include storing, using a storage device, the net CO.sub.2e offset associated with the at least one recyclable item in a distributed ledger.

Early boarding of passengers in autonomous vehicles

The technology relates to actively looking for an assigned passenger prior to a vehicle 100 reaching a pickup location. For instance, information identifying the pickup location and client device information for authenticating the assigned passenger is received. Sensor data is received from a perception system of the vehicle identifying objects in an environment of the vehicle. When the vehicle is within a predetermined distance from the pickup location, authenticating a client device using the client device information is attempted. When the client device has been authenticated, the sensor data is used to determine whether a pedestrian is within a first threshold distance of the vehicle. When a pedestrian is determined to be within the first threshold distance of the vehicle, the vehicle is stopped prior to reaching the pickup location, to wait for the pedestrian within the first threshold distance of the vehicle to enter the vehicle.

Early boarding of passengers in autonomous vehicles

The technology relates to actively looking for an assigned passenger prior to a vehicle 100 reaching a pickup location. For instance, information identifying the pickup location and client device information for authenticating the assigned passenger is received. Sensor data is received from a perception system of the vehicle identifying objects in an environment of the vehicle. When the vehicle is within a predetermined distance from the pickup location, authenticating a client device using the client device information is attempted. When the client device has been authenticated, the sensor data is used to determine whether a pedestrian is within a first threshold distance of the vehicle. When a pedestrian is determined to be within the first threshold distance of the vehicle, the vehicle is stopped prior to reaching the pickup location, to wait for the pedestrian within the first threshold distance of the vehicle to enter the vehicle.

Systems and Methods for Vehicle Navigation
20230025772 · 2023-01-26 ·

In one aspect, an example method includes: (a) collecting sensor data from one or more vehicles operating within a geographic region and environmental data for the geographic region; (b) generating an accident risk model using one or more machine learning models; (c) receiving a request for navigating between a first geographic position and a second geographic position; (d) identifying attributes of one or more routes between the first geographic position and the second geographic position and through the geographic region, wherein the identified attributes of the one or more routes are based on at least the generated accident risk model; and (e) transmitting an instruction that causes a mobile computing device to display a graphical indication of: (i) the one or more routes; and (ii) the identified attributes of the one or more routes.