Abstract: Systems, methods, and computer-readable media are disclosed for automated multimodal delivery. Example methods may include determining information associated with the delivery; determining, based on at least a first portion of the information, that a first confidence level indicative of a delivery capability using a first vehicle is above a first threshold; and determining, based on at least a second portion of the information, a second confidence level indicative of a delivery preference for delivery using the first vehicle relative to a second vehicle.

Abstract: Exemplary embodiments described in this disclosure are generally directed to systems and methods for predicting a behavior of a pedestrian on the basis of a behavioral profile of the pedestrian. The behavioral profile may be generated in a personal communication device of the pedestrian (such as a smartphone) based on activities performed by the pedestrian such as walking on a sidewalk, stepping off the sidewalk to walk on a road, standing on a sidewalk waiting for a traffic light to change, stepping onto the road when waiting for a traffic light to change, and/or crossing a road when the traffic light is red. The behavioral profile may also be based on other factors such as a traffic citation, an accident report, a status of a driver's license, and/or physical characteristics of the pedestrian (age, gender, etc.).

Abstract: Systems, methods, and computer-readable media are disclosed for automated multimodal delivery. Example methods may include determining information associated with the delivery; determining, based on at least a first portion of the information, that a first confidence level indicative of a delivery capability using a first vehicle is above a first threshold; and determining, based on at least a second portion of the information, a second confidence level indicative of a delivery preference for delivery using the first vehicle relative to a second vehicle.

Abstract: Exemplary embodiments described in this disclosure are generally directed to systems and methods for predicting a behavior of a pedestrian on the basis of a behavioral profile of the pedestrian. The behavioral profile may be generated in a personal communication device of the pedestrian (such as a smartphone) based on activities performed by the pedestrian such as walking on a sidewalk, stepping off the sidewalk to walk on a road, standing on a sidewalk waiting for a traffic light to change, stepping onto the road when waiting for a traffic light to change, and/or crossing a road when the traffic light is red. The behavioral profile may also be based on other factors such as a traffic citation, an accident report, a status of a driver's license, and/or physical characteristics of the pedestrian (age, gender, etc.).