Abstract: Embodiments of a method and/or system for facilitating event-based vehicle operation can include determining a vehicle route; determining geographic regions for the vehicle route; monitoring the determined geographic regions for events; determining an event of interest from the detected events; and/or dynamically facilitating modification of vehicular operation of the vehicle based on the event of interest, such as in response to determination of the event of interest. In one aspect, a vehicle is routed towards an event of interest and assists in remediating the event (or an impact thereof).

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. A boundary geometry, a user event truthfulness preference, a first event type, a second event type, and an area are combined into a rule formula. The first event type and a first event truthfulness associated with a detected event are accessed. The second event type and a second event truthfulness associated with another detected event are accessed. It is determined that the first event type and the second event type occurred in combination in the area within a boundary defined by the boundary geometry and that the first event truthfulness and the second event truthfulness both satisfy the user event truthfulness preference. An entity is automatically electronically notified in accordance with notification preferences that the rule formula was satisfied.

Abstract: The invention extends to methods, systems, and computer program products for detecting events from a signal features matrix. A two-dimensional signal evidence matrix is formed is populated with the plurality of signal pairings. Per signal pairing, a pairing probability is computed based on one or more of: (a) source diversity between the signals in the signal pairing, (b) pairing frequency indicating how often signal types corresponding to the signals in the signal pair are paired together, (c) pairing strength derived from a confidence associated with each signal in the signal pairing, (d) pairing time derived from a time associated with each signal in the signal pairing, or (e) pairing location derived from a location associated with each signal in the signal pairing. The plurality of pairing probabilities is aggregated into an aggregated probability. The real-world event is detected from evidence provided by the aggregated probability.

Abstract: The present invention extends to methods, systems, and computer program products for signal normalization, event detection, and event notification using agency codes. Ingestion modules can ingest different types of raw structured and/or raw unstructured signals on an ongoing basis and possibly including agency codes. The signal ingestion modules normalize raw signals into normalized signals having a Time, Location, Context (or “TLC”) dimensions. An event detection infrastructure determines that characteristics of multiple signals, possibly including agency codes, when considered in combination, indicate an event of interest to one or more parties. Agency codes associated with events can be translated between agency code languages and/or between different agencies/jurisdictions.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events notifying entities of relevant events removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. One or more events are detected. User information is detected in one of the events. The privacy infrastructure applies a data privacy operation on the user information. It is determined that the one or events satisfies the rule formula subsequent to applying the data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for signal normalization removing private information. In general, different types of raw signals including source data in different pluralities of data dimensions and including other characteristics are ingested. Per raw signal, a transdimensionality transform is applied to recode and normalize the source data into a normalized signal that includes normalized data in a common reduced plurality of dimensions. A real-world event is detected from the normalized data in the time, location, and context dimensions and an entity is notified of the real-world event. Entities can be notified of detected events. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects integrity of private information.

Abstract: The invention extends to methods, systems, and computer program products for deriving signal location information removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. A raw signal is ingested. A partially normalized signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells can be formulated. The partially normalized signal is annotated with the location annotation. In one aspect, deriving the partially normalized signal includes identifying user information contained within the raw signal. At least one data privacy operation is applied to the user information. The partially normalized signal is generated subsequent to applying the at least one data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information removing private information. A Public Safety Answering Point (PSAP) receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify an emergency call event, including an event location. The emergency call event is sent to the PSAP. Prior to receiving phase II data, and possibly even prior to receiving phase I data, the PSAP receives the event. The PSAP tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the event location. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

Abstract: The present invention extends to methods, systems, and computer program products for event detection removing private information. In one aspect, an event detection infrastructure determines that characteristics of multiple signals, when considered collectively, indicate an event of interest to one or more parties. In another aspect, an evaluation module determines that characteristics of one or more signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other signals validate the possible event as an actual event of interest to the one or more parties. Signal features can be used to compute probabilities of events occurring. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

Abstract: The present invention extends to methods, systems, and computer program products for event detection from signal data removing private information. A signal is ingested. A portion of the signal is selected from within the signal. A first score is computed from the selected portion. The first score indicates a likelihood of the signal including information related to an event type. It is determined that processing of another signal is warranted based on the indicated likelihood. Resources are allocated to process the other signal. The other signal is ingested. Parameters associated with the other signal are accessed. A second score is computed from the parameters utilizing the allocated resources. A previously unidentified event of the event type is identified based on the second score and utilizing the allocated resources. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information removing private information. A Public Safety Answering Point (PSAP) receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify an emergency call event, including an event location. The emergency call event is sent to the PSAP. Prior to receiving phase II data, and possibly even prior to receiving phase I data, the PSAP receives the event. The PSAP tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the event location. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information removing private information. A probability that an emergency call originated from a location is derived from features of a normalized signal version of the emergency call. An additional normalized signal is accessed within a specified distance of the location. The location is validated from features of the additional signal. An event is detected from the features of the normalized signal version of the emergency call based on the validated location. The validated location is associated with an obtained event truthfulness probability for the event. The event is sent to a Public Safety Answering Point (PSAP). A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. A boundary associated with a selected location type is also received along with a monitoring area. The received elements are combined into the rule formula notification preferences are associated with the defined rule. One or more events are detected and then compared to the rule formula to determine if the combination of one or more event types occurred within the boundary of the one or more location types within the area.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from ingested signals. A first signal (e.g., a private signal private to an organization or non-private signal controlled by an organization) is accessed based on organizational data privacy access settings associated with the first signal. First one or more features of the first normalized signal are derived. It is determined that the first one or more features do not satisfy conditions to be identified as an event. The first one or more features are aggregated with second one or more features of a second signal into aggregated features. Access to the aggregated features is configured based on data privacy aggregation settings associated with the first signal and data privacy aggregation settings associated with the second signal. An event is detected from the aggregated features.

Abstract: The present invention extends to methods, systems, and computer program products for storing and validating the integrity of event related information. An event notification is accessed. The event notification indicates that an event was detected from a first normalized signal and a second normalized signal. The integrity of the event is verified. Integrity verification includes simulating detection of a simulated event based on contents stored in a distributed ledger. Integrity verification also includes comparing the event to the simulated event and determining that the simulated event verifies the event. Based on the integrity verification, a physical resource is allocated. The physical resource may be selected from among: a first responder resource, a hospital resource, a delivery service resource, a media outlet resource, a government entity resource, a social worker resource, or a disaster relief resource.

Abstract: The invention extends to methods, systems, and computer program products for deriving signal location information. A raw signal is ingested and normalized, including deriving a partially normalized signal. The partially normalized signal can be a signal including a Time, a Context and possibly a non-dispositive location hint. A list of one or more geo cells where the raw signal potentially originated is accessed. In one aspect, the one or more geo cells are accessed based on the non-dispositive location hint. A location annotation identifying a geo cell from among the one or more geo cells is formulated. The partially normalized signal can be annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the partially normalized signal forming a fully normalized signal. The fully normalized signal can include a Time, a Location, and a Context.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information. A Public Safety Answering Point receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify and emergency call event, including the emergency call location. The emergency call event is sent to the Public Safety Answering Point. Prior to receiving phase II data and possibly even prior to receiving phase I data, the Public Safety Answering Point receives the event. The Public Safety Answering Point tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the originating location.