Abstract: According to one embodiment, a method, computer system, and computer program product for tracking occupancy on a transit system is provided. The present invention may include receiving passenger information for passengers boarding a public transit system comprising one or more cars; counting the passengers within each of the cars of the public transit system based on the location of each of the passengers; identifying, based on the location of each of the passengers, whether each of the passengers is seated or standing; and displaying, based on the counting and identifying of the passengers, the current occupancy of each of the cars.

Abstract: Machine logic (for example, software) for estimating how much time it will take to find a parking space for a vehicle at a destination. The machine logic rules request historical data to initially train a machine learning algorithm for estimating how much time it will take to find a parking space, and then estimates how long it will take to find a parking space when provided with a set of parking factors for an intended destination and route.

Abstract: Embodiments include methods, systems and computer program products for determining a safe driving speed for a vehicle. Aspects include obtaining a location and a direction of travel of the vehicle, obtaining one or more operating conditions of the vehicle, and obtaining historical accident data that corresponds to the location of the vehicle under operating conditions that are similar to the one or more conditions of the vehicle. Aspects also include analyzing, by a processor, the historical accident data to identify the safe driving speed for the vehicle, wherein the safe driving speed is determined to be a maximum speed that is associated with maximum acceptable risk of an accident and causing an indication of the safe driving speed to be displayed to an operator of the vehicle.

Abstract: Embodiments include methods, systems, and computer program products for modifying driving behavior. Aspects include obtaining driving data for a driver. Then developing, by a processor, a driving profile based on the driving data for the driver, wherein the driving profile includes one or more driving behaviors. Aspects also include obtaining location data for the driver and obtaining a set of driving rules from one or more databases based upon the location data for the driver. Additionally, aspects include comparing, by the processor, the driving profile to the set of driving rules to derive a set of suggested driving changes.

Abstract: Embodiments of the invention are directed to methods and systems for detecting incompatibilities in a computer system. The method includes logging incoming requests to a target component; receiving changes to the target component; analyzing the changed target component; performing a simulation to determine the compatibility of the target component with respect to one or more other components, and upon the finding of an incompatibility causing a notification.

Abstract: Techniques are provided for performing automated operations to analyze and prioritize incoming user messages. One or more indications of a plurality of messages sent to one or more recipient users is received. Based at least in part on one or more natural-language processing libraries, multiple messages of the plurality are analyzed. Analyzing the multiple messages includes determining one or more sentiments associated with each of the multiple messages, and generating, based at least in part on the determining of the one or more sentiments, aggregate sentiment information regarding one or more subsets of the multiple messages. Based at least in part on the analyzing of the received message, indications are provided of the aggregate sentiment information generated regarding one or more subsets of messages.

Abstract: An indication of receipt of a first e-mail is received. A determination is made whether the first e-mail matches, within a threshold, a group of e-mails. An image associated with the group of e-mails is retrieved. The retrieved image is assigned to the first e-mail and the retrieved image is displayed with the first e-mail in a list of e-mails.

Abstract: According to one embodiment, a method, computer system, and computer program product for tracking occupancy on a transit system is provided. The present invention may include receiving passenger information for passengers boarding a public transit system comprising one or more cars; counting the passengers within each of the cars of the public transit system based on the location of each of the passengers; identifying, based on the location of each of the passengers, whether each of the passengers is seated or standing; and displaying, based on the counting and identifying of the passengers, the current occupancy of each of the cars.

Abstract: Embodiments of the invention are directed to methods and systems for detecting incompatibilities in a computer system. The method includes logging incoming requests to a target component; receiving changes to the target component; analyzing the changed target component; performing a simulation to determine the compatibility of the target component with respect to one or more other components, and upon the finding of an incompatibility causing a notification.

Abstract: Machine logic (for example, software) for estimating how much time it will take to find a parking space for a vehicle at a destination. The machine logic rules request historical data to initially train a machine learning algorithm for estimating how much time it will take to find a parking space, and then estimates how long it will take to find a parking space when provided with a set of parking factors for an intended destination and route.

Abstract: An indication of receipt of a first e-mail is received. A determination is made whether the first e-mail matches, within a threshold, a group of e-mails. An image associated with the group of e-mails is retrieved. The retrieved image is assigned to the first e-mail and the retrieved image is displayed with the first e-mail in a list of e-mails.

Abstract: Embodiments include methods, systems and computer program products for determining a safe driving speed for a vehicle. Aspects include obtaining a location and a direction of travel of the vehicle, obtaining one or more operating conditions of the vehicle, and obtaining historical accident data that corresponds to the location of the vehicle under operating conditions that are similar to the one or more conditions of the vehicle. Aspects also include analyzing, by a processor, the historical accident data to identify the safe driving speed for the vehicle, wherein the safe driving speed is determined to be a maximum speed that is associated with maximum acceptable risk of an accident and causing an indication of the safe driving speed to be displayed to an operator of the vehicle.

Abstract: Techniques are provided for performing automated operations to analyze and prioritize incoming user messages. An indication of a message sent to a recipient user is received. Based at least in part on configuration information associated with the recipient user, the received message is analyzed. Analyzing the received message includes at least one of determining sentiments associated with the received message, determining intentions associated with the received message, determining document classes associated with the received message, and generating summary information corresponding to the received message. Based at least in part on the analyzing of the received message, a prioritized listing of multiple messages associated with the recipient user, including the received message, is displayed to the recipient user.

Abstract: Embodiments include techniques for performing automated email summarization and subject line generation. The technique includes determining, by a computing system, that an email exceeds a threshold length, and responsive to determining that the email exceeds the threshold length, executing an email summarization. The technique also includes displaying the email summarization, the email summarization including extracted key sentences and dependent sentences from the email, and determining a tone of the email based on the email summarization. The technique includes generating a subject line based on the email summarization and the tone, and storing, in a database, the tone associated with the email.

Abstract: Embodiments include method, systems and computer program products for onboarding a new employee to an organization. Aspects include receiving, by a processor, employee data comprising an employee group associated with the new employee of the organization. Identifying other employees that belong to the employee group and obtaining a set of permissions associated with each of the other employees. Determining a set of group permissions based on a combination of the set of permissions of each of the other employees. Aspects also include calculating an access score for each of the set of group permissions, and determining a set of suggested access permissions for the new employee based on the set of group permissions and the access score.

Abstract: A computer-implemented method for tracking an item having an electromagnetic frequency signature is provided. The method includes obtaining, using a processor system of a device, an electromagnetic frequency signature of an item. The item associated with the obtained electromagnetic frequency signature is identified and the location of the device at the time the item is identified. The identity of the item associated with the electromagnetic frequency signature and the location of the device at the time the electromagnetic frequency signature is obtained are recorded for associating the item with the location of the device.

Abstract: Embodiments include methods, systems, and computer program products for modifying driving behavior. Aspects include obtaining driving data for a driver. Then developing, by a processor, a driving profile based on the driving data for the driver, wherein the driving profile includes one or more driving behaviors. Aspects also include obtaining location data for the driver and obtaining a set of driving rules from one or more databases based upon the location data for the driver. Additionally, aspects include comparing, by the processor, the driving profile to the set of driving rules to derive a set of suggested driving changes.

Abstract: Embodiments include method, systems and computer program products for onboarding a new employee to an organization. Aspects include receiving, by a processor, employee data comprising an employee group associated with the new employee of the organization. Identifying other employees that belong to the employee group and obtaining a set of permissions associated with each of the other employees. Determining a set of group permissions based on a combination of the set of permissions of each of the other employees. Aspects also include calculating an access score for each of the set of group permissions, and determining a set of suggested access permissions for the new employee based on the set of group permissions and the access score.

Abstract: Techniques are provided for performing automated operations to analyze and prioritize incoming user messages. An indication of a message sent to a recipient user is received. Based at least in part on configuration information associated with the recipient user, the received message is analyzed. Analyzing the received message includes at least one of determining sentiments associated with the received message, determining intentions associated with the received message, determining document classes associated with the received message, and generating summary information corresponding to the received message. Based at least in part on the analyzing of the received message, a prioritized listing of multiple messages associated with the recipient user, including the received message, is displayed to the recipient user.

Abstract: Techniques are provided for performing automated operations to analyze and prioritize incoming user messages. One or more indications of a plurality of messages sent to one or more recipient users is received. Based at least in part on one or more natural-language processing libraries, multiple messages of the plurality are analyzed. Analyzing the multiple messages includes determining one or more sentiments associated with each of the multiple messages, and generating, based at least in part on the determining of the one or more sentiments, aggregate sentiment information regarding one or more subsets of the multiple messages. Based at least in part on the analyzing of the received message, indications are provided of the aggregate sentiment information generated regarding one or more subsets of messages.