Abstract: In an embodiment of the present invention, background data of a first user in a group of one or more users is received. Physiometric data of the first user while the group of one or more users is traversing a first route is received from a first group of one or more sensors. Environmental data associated with the first route is received from a second group of one or more sensors. Environmental data associated with a second route is received from the second group of one or more sensors. It is determined whether to modify the first route into the second route based on the background data, the physiometric data, and the environmental data associated with the first route and the environmental data associated with the second route, and the determination occurs while the group of one or more users is traversing the first route.

Abstract: Intelligent railway station platform enhancement includes acquiring contextual information informing of a context in which movement of passengers through an area of a railway station is to occur. The area includes railway station platforms spaced apart by track(s). A decision model is applied to the acquired contextual information, and a determining is made whether to temporarily bridge together platforms using a bridge component between edges of the platforms. The bridging extends across track(s) to provide a route for passengers to traverse the track(s) and move between the platforms. The temporarily bridging is then initiated if it is determined to bridge the platforms together in this manner.

Abstract: Aspects generate customized routes by automatically selecting between human-powered and motorized transport option segments, by determining a well-being objective of a traveler and an amount of the human-powered transport option for the traveler to perform to meet requirements of the well-being objective. Aspects generate recommended routes to a destination from a current location of the traveler that meets the well-being objective by selecting between route segment portions of usage of a human-powered option and of a motorized transport option, and include a first segment of usage of the human-powered transport option in response to determining that said included first segment requires an amount of effort that meets the well-being objective and does not exceed an amount of the human-powered transport option that the traveler is currently able to perform.

Abstract: A component of an environment having available bandwidth for performing a task is located. Authorization to connect a device associated with the task to the component is granted. In response to determining that a set of one or more conditions are met, the device is connected to the component. The connection provides network connectivity to the device via the component.

Abstract: Providing high-quality images of members of a group moving within a coverage area that includes non-group members is provided. A current location of each member of the group is tracked within the coverage area. Images are obtained of the coverage area. Based on the tracked current location of each member of the group within the coverage area, at least one of the non-group members are selectively redacted from the images of the coverage area such that the members of the group are clearly shown in redacted images and privacy rights of the at least one of the non-group members are protected. The selectively redacted images are provided to at least one of the members of the group.

Abstract: Systems and methods for dynamically managing figments are disclosed. A computer-implemented method includes: receiving, by a computing device, a question from a user; answering, by the computing device, the question using a first degree figment; classifying, by the computing device, the question based on topics; forwarding, by the computing device, the question to a set of second degree figments; receiving, by the computing device, answers to the question from the set of second degree figments; ranking, by the computing device, the answers received from the set of second degree figments; and providing, by the computing device, the ranked answers to the user.

Abstract: A component of an environment having available bandwidth for performing a task is located. Authorization to connect a device associated with the task to the component is granted. In response to determining that a set of one or more conditions are met, the device is connected to the component. The connection provides network connectivity to the device via the component.

Abstract: Systems and methods for dynamically managing figments are disclosed. A computer-implemented method includes: receiving, by a computing device, a question from a user; answering, by the computing device, the question using a first degree figment; classifying, by the computing device, the question based on topics; forwarding, by the computing device, the question to a set of second degree figments; receiving, by the computing device, answers to the question from the set of second degree figments; ranking, by the computing device, the answers received from the set of second degree figments; and providing, by the computing device, the ranked answers to the user.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing a cognitive guide service to a group of participants for an excursion with an initial route planned by participants registration information and environment information along the initial route. During the excursion, real time sensory data on the participants and change in environment are collected by a cognitive agent accompanying the group to lead the excursion are relayed to a cognitive guide engine, and real time multi-objective optimization is modeled and performed. The participants are regrouped responsive to objectives of the excursion as represented by respective levels of interest in certain stage of the excursion as well as circumstances of the environment. Respective subgroups are formed from the participants per respective objectives, and respective new routes are selected from a set of optimal solutions for each subgroup.

Abstract: In an approach to incident prediction and response, one or more computer processors receive one or more alerts corresponding to an incident. The one or more computer processors aggregate the one or more alerts with additional data corresponding to the incident. The one or more computer processors feed the aggregated data into a prediction model, where training of the prediction model uses associated independent stacked Restricted Boltzmann Machines utilizing one or more supervised methods and one or more unsupervised methods. The one or more computer processors determine, based, at least in part, on one or more calculations by the prediction model, at least one probability of the incident. The one or more computer processors determine whether the at least one probability exceeds a pre-defined threshold. In response to determining the at least one probability exceeds a pre-defined threshold, the one or more computer processors send at least one notification.

Abstract: In an approach to incident prediction and response, one or more computer processors receive one or more alerts corresponding to an incident. The one or more computer processors aggregate the one or more alerts with additional data corresponding to the incident. The one or more computer processors feed the aggregated data into a prediction model, where training of the prediction model uses associated independent stacked Restricted Boltzmann Machines utilizing one or more supervised methods and one or more unsupervised methods. The one or more computer processors determine, based, at least in part, on one or more calculations by the prediction model, at least one probability of the incident. The one or more computer processors determine whether the at least one probability exceeds a pre-defined threshold. In response to determining the at least one probability exceeds a pre-defined threshold, the one or more computer processors send at least one notification.

Abstract: In an embodiment of the present invention, background data of a first user in a group of one or more users is received. Environmental data associated with a first route is received from a first group of one or more sensors. Environmental data associated with a second route is received from a second group of one or more sensors. It is determined whether to modify the first route into the second route based on the background data and the environmental data associated with the first route and the environmental data associated with the second route, and the determination occurs while the group of one or more users is traversing the first route.

Abstract: Activating a smart bumper system is provided. Traffic data are received from a set of sensors located on each of a plurality of vehicles within a defined area. A collision is predicted between two or more vehicles is imminent based on analyzing the traffic data. A smart bumper system of at least one of the two or more vehicles that will be involved in the predicted collision is actuated to minimize an amount of damage during the predicted collision.

Abstract: Meeting participation data of a meeting of a group of participants in-progress is collected. The meeting participation data is analyzed to identify a topic being discussed in the meeting. Using a trend of affective states of a participant, a future affective state of the participant is forecasted relative to the topic. The future affective state is evaluated to conclude that data contributed by the participant at a future time in the meeting is not likely to progress the topic to completion by at least a specified degree. A cognitive system (cog) trained in the subject-matter is selected. The cog is added to the meeting before the future time and while the meeting is in-progress.

Abstract: A component of an environment having available bandwidth for performing a task is located. Authorization to connect a device associated with the task to the component is granted. In response to determining that a set of one or more conditions are met, the device is connected to the component. The connection provides network connectivity to the device via the component.

Abstract: Aspects generate customized routes by automatically selecting between human-powered and motorized transport option segments, by determining a well-being objective of a traveler and an amount of the human-powered transport option for the traveler to perform to meet requirements of the well-being objective. Aspects generate recommended routes to a destination from a current location of the traveler that meets the well-being objective by selecting between route segment portions of usage of a human-powered option and of a motorized transport option, and include a first segment of usage of the human-powered transport option in response to determining that said included first segment requires an amount of effort that meets the well-being objective and does not exceed an amount of the human-powered transport option that the traveler is currently able to perform.

Abstract: Aspects generate customized routes that select between human-powered and motorized transport option segments to maximize well-being objective in navigating a traveler to a destination. Amounts of human-powered transport options that a traveler is willing, able or recommended to perform via the traveler's own physical exertions in reaching a destination are determined as a function of well-being or cost objectives and performance limits. Recommended routes to the destination having human-powered and/or motorized transport option segments are generated that meet well-being objectives without exceeding amounts that the traveler is currently able to perform, and excluding segments that require efforts that do not meet the well-being objective or exceed the amounts that the traveler is currently able to perform.

Abstract: In an embodiment of the present invention, background data of a first user in a group of one or more users is received. Physiometric data of the first user while the group of one or more users is traversing a first route is received from a first group of one or more sensors. Environmental data associated with the first route is received from a second group of one or more sensors. Environmental data associated with a second route is received from the second group of one or more sensors. It is determined whether to modify the first route into the second route based on the background data, the physiometric data, and the environmental data associated with the first route and the environmental data associated with the second route, and the determination occurs while the group of one or more users is traversing the first route.

Abstract: Meeting participation data of a meeting of a group of participants in-progress is collected. The meeting participation data is analyzed to identify a topic being discussed in the meeting. Using a trend of affective states of a participant, a future affective state of the participant is forecasted relative to the topic. The future affective state is evaluated to conclude that data contributed by the participant at a future time in the meeting is not likely to progress the topic to completion by at least a specified degree. A cognitive system (cog) trained in the subject-matter is selected. The cog is added to the meeting before the future time and while the meeting is in-progress.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing a cognitive tour guide service to a group of participants for a tour with an initial route planned by participants registration information and environment information along the initial route. During the tour, real time sensory data on the participants and environment are collected by a cognitive agent accompanying the group to lead the tour are relayed to a cognitive tour guide engine, and real time multi-objective optimization is modeled and performed. The participants are regrouped responsive to their respective objectives of the tour as represented by respective levels of interest in certain stage of the tour as well as circumstances of the environment. Respective subgroups are formed from the participants per respective objectives, and respective new routes are selected from a set of optimal solutions for each subgroup.