Route suggestion for time optimization

A computer program product comprising:

• a non-transitory computer readable storage medium readable by one or more processors and storing instructions for execution by the one or more processors for performing a method comprising:
• monitoring, by the one or more processors, movement of users within a physical environment, wherein the physical environment comprises a plurality of routes to traverse and a plurality of transports, wherein each transport of the plurality of transports can be utilized by the users to reach a portion of the plurality of routes, wherein the physical environment further comprises one or more readers configured to read a signal or an image of decodable indicia, positioned at locations along the plurality of routes, wherein the monitoring comprises obtaining, from the one or more readers, locations of the users, based on the one or more readers accessing signals or images of decodable indicia associated with the users, when the users are within pre-defined ranges of the one or more readers, and wherein the signals or the images of decodable indicia are valid for a pre-defined period of time;
• identifying, by the one or more processors, during the pre-defined period of time, a given user of the users within the physical environment;
• determining, by the one or more processors, based on the monitoring, that the given user is navigating the physical environment in a group comprising at least one additional user of the users;
• generating, by the one or more processors, movement profiles for each user in the group, wherein the movement profiles comprise machine learned movement patterns for each user in the group, based on the monitoring, wherein each movement profile comprises a proficiency measure for each user in the group at navigating the physical environment;
• identifying, by the one or more processors, a specific user in the group, wherein the specific user has a lowest proficiency measure when compared to proficiency measures of a remainder of the group, wherein the specific user is not the given user;
• continuously generating, concurrently with monitoring movements of the given user in the physical environment, by the one or more processors, based on the movement profile of the specific user and the locations of the users, route guidance for the given user, wherein the route guidance comprises one or more temporal recommendations for taking one or more specific routes of the plurality of routes to one or more specific transports of the plurality of transports, wherein the one or more temporal recommendations are consistent with the lowest proficiency measure and each of the one or more temporal recommendations comprises an optimized route to minimize wait time at the plurality of transports and maximize time spent on the plurality of routes during the pre-defined period of time based on the lowest proficiency measure;
• and
• transmitting, by the one or more processors, the route guidance to the given user, such that the given user obtains the route guidance on a computing device worn or carried by the given user, as an alert, wherein each of the one or more temporal recommendations are transmitted to the given user when the given user is at a given location where contemporaneous with receiving the route guidance, the given user, based on the given location, can take a specific route of the one or more specific routes of the plurality of routes, when the specific route is associated with one of the one or more temporal recommendations transmitted to the given user.

A system comprising:

• a memory;
• one or more processors in communication with the memory;
• program instructions executable by the one or more processors via the memory to perform a method, the method comprising:
• monitoring, by the one or more processors, movement of users within a physical environment, wherein the physical environment comprises a plurality of routes to traverse and a plurality of transports, wherein each transport of the plurality of transports can be utilized by the users to reach a portion of the plurality of routes, wherein the physical environment further comprises one or more readers configured to read a signal or an image of decodable indicia, positioned at locations along the plurality of routes, wherein the monitoring comprises obtaining, from the one or more readers, locations of the users, based on the one or more readers accessing signals or images of decodable indicia associated with the users, when the users are within pre-defined ranges of the one or more readers, and wherein the signals or the images of decodable indicia are valid for a pre-defined period of time;
• identifying, by the one or more processors, during the pre-defined period of time, a given user of the users within the physical environment;
• determining, by the one or more processors, based on the monitoring, that the given user is navigating the physical environment in a group comprising at least one additional user of the users;
• generating, by the one or more processors, movement profiles for each user in the group, wherein the movement profiles comprise machine learned movement patterns for each user in the group, based on the monitoring, wherein each movement profile comprises a proficiency measure for each user in the group at navigating the physical environment;
• identifying, by the one or more processors, a specific user in the group, wherein the specific user has a lowest proficiency measure when compared to proficiency measures of a remainder of the group, wherein the specific user is not the given user;
• continuously generating, concurrently with monitoring movements of the given user in the physical environment, by the one or more processors, based on the movement profile of the specific user and the locations of the users, route guidance for the given user, wherein the route guidance comprises one or more temporal recommendations for taking one or more specific routes of the plurality of routes to one or more specific transports of the plurality of transports, wherein the one or more temporal recommendations are consistent with the lowest proficiency measure and each of the one or more temporal recommendations of the one or more temporal recommendations comprises an optimized route to minimize wait time at the plurality of transports and maximize time spent on the plurality of routes during the pre-defined period of time based on the lowest proficiency measure;
• and
• transmitting, by the one or more processors, the route guidance to the given user, such that the given user obtains the route guidance on a computing device worn or carried by the given user, as an alert, wherein each of the one or more temporal recommendations are transmitted to the given user when the given user is at a given location where contemporaneous with receiving the route guidance, the given user, based on the given location, can take a specific route of the one or more specific routes of the plurality of routes, when the specific route is associated with one of the one or more temporal recommendations transmitted to the given user.