Abstract: A method, computer system, and a computer program product for communicating and interpreting a plurality of Internet of Things (IoT) sensor data from one or more IoT devices is provided. The present invention may include collecting the plurality of IoT sensor data from the one or more IoT devices associated with a user to a central collection repository. The present invention may then include analyzing the collected plurality of IoT sensor data by utilizing an artificial intelligence (AI) enabled analytics platform. The present invention may also include creating one or more transactions associated with the analyzed plurality of IoT sensor data. The present invention may further include adding the one or more created transactions to a blockchain structure.

Abstract: A method, computer system, and a computer program product for communicating and interpreting a plurality of Internet of Things (IoT) sensor data from one or more IoT devices is provided. The present invention may include collecting the plurality of IoT sensor data from the one or more IoT devices associated with a user to a central collection repository. The present invention may then include analyzing the collected plurality of IoT sensor data by utilizing an artificial intelligence (AI) enabled analytics platform. The present invention may also include creating one or more transactions associated with the analyzed plurality of IoT sensor data. The present invention may further include adding the one or more created transactions to a blockchain structure.

Abstract: An event search area for searching for events of interest to the user, including a maximum off-route crow-fly distance from a user in-route travel path is established. One or more events of interest to the user is determined based on the established event search area. Each of the off-route travel paths that connect each event to the user in-route travel path is also determined. An off-route driving time and a total in-route and off-route driving time from the user in-route travel path to the applicable determined event and back are computed. The one determined off-route travel path that has a minimum computed off-route driving time and the one or more of the determined off-route travel paths that has a minimum computed total in-route and off-route driving time are identified and notified to the user.

Abstract: An event search area for searching for events of interest to the user, including a maximum off-route crow-fly distance from a user in-route travel path is established. One or more events of interest to the user is determined based on the established event search area. Each of the off-route travel paths that connect each event to the user in-route travel path is also determined. An off-route driving time and a total in-route and off-route driving time from the user in-route travel path to the applicable determined event and back are computed. The one determined off-route travel path that has a minimum computed off-route driving time and the one or more of the determined off-route travel paths that has a minimum computed total in-route and off-route driving time are identified and notified to the user.

Abstract: An event search area for searching for events of interest to the user, including a maximum off-route crow-fly distance from a user in-route travel path is established. One or more events of interest to the user is determined based on the established event search area. Each of the off-route travel paths that connect each event to the user in-route travel path is also determined. An off-route driving time and a total in-route and off-route driving time from the user in-route travel path to the applicable determined event and back are computed. The one determined off-route travel path that has a minimum computed off-route driving time and the one or more of the determined off-route travel paths that has a minimum computed total in-route and off-route driving time are identified and notified to the user.

Abstract: To determine whether to notify a traveler of events proximate to a travel path, a description of an event and an event location are received. A geographic coordinate area search range is determined based on the received event location. All midpoints of multiple contiguous segments of the travel path that lie within the determined geographic coordinate search range are identified. A set of segments is determined based on the identified midpoints and proximity searched to identify one segment within the searched set of segments that is in closest proximity to the received event location. A closest offset event location along the identified one segment is identified used to determine whether the user is to be notified of the event.

Abstract: An event search area for searching for events of interest to the user, including a maximum off-route crow-fly distance from a user in-route travel path is established. One or more events of interest to the user is determined based on the established event search area. Each of the off-route travel paths that connect each event to the user in-route travel path is also determined. An off-route driving time and a total in-route and off-route driving time from the user in-route travel path to the applicable determined event and back are computed. The one determined off-route travel path that has a minimum computed off-route driving time and the one or more of the determined off-route travel paths that has a minimum computed total in-route and off-route driving time are identified and notified to the user.

Abstract: Stored executable logic causes a processor to operate so as to receive route parameter data, including a start location and end location for future travel, from various users. The processor generates route data based on the received route parameter data for each user. The generated route data for each user includes geographic coordinate data with imbedded strings of geographic coordinate identifiers corresponding to strings of geographic coordinates defining a travel path between the start and end locations included in that user's route parameter data. The processor stores, in a database, the generated route data for each user in association with an identifier of that user and contact information for contacting that user while in route.

Abstract: Stored executable logic causes a processor to operate so as to receive route parameter data, including a start location and end location for future travel, from various users. The processor generates route data based on the received route parameter data for each user. The generated route data for each user includes geographic coordinate data with imbedded strings of geographic coordinate identifiers corresponding to strings of geographic coordinates defining a travel path between the start and end locations included in that user's route parameter data. The processor stores, in a database, the generated route data for each user in association with an identifier of that user and contact information for contacting that user while in route.

Abstract: Stored executable logic causes a processor to operate so as to receive route parameter data, including a start location and end location for future travel, from various users. The processor generates route data based on the received route parameter data for each user. The generated route data for each user includes geographic coordinate data with imbedded strings of geographic coordinate identifiers corresponding to strings of geographic coordinates defining a travel path between the start and end locations included in that user's route parameter data. The processor stores, in a database, the generated route data for each user in association with an identifier of that user and contact information for contacting that user while in route.