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: A vehicle includes a controller programmed to identify tag phrases for locations that express a relationship between the location and a learned location tag. The tag phrases are based on words and word sequences learned from prior selections and inputs of a user. The controller is programmed to communicate the tag phrases to the user and provide trip assistance based on a selected tag phrase chosen by the user. The locations and tag phrases are accessible to devices such that locations are identified with common tag phrases on each of the devices.

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: A vehicle includes a controller programmed to identify tag phrases for locations that express a relationship between the location and a learned location tag. The tag phrases are based on words and word sequences learned from prior selections and inputs of a user. The controller is programmed to communicate the tag phrases to the user and provide trip assistance based on a selected tag phrase chosen by the user. The locations and tag phrases are accessible to devices such that locations are identified with common tag phrases on each of the devices.