Abstract: Vehicle alerts can be presented to the driver of a vehicle based on behaviors. It can be determined whether the driver will avoid an identified risk at a current location of the vehicle. Such a determination can be based on the past driving behavior of the driver and/or a general driving behavior of one or more other drivers. It can be determined whether to present an alert about the identified risk based on whether the driver will avoid the identified risk. In response to determining to that an alert about the identified risk should be presented, an intensity level for the alert can be determined. The alert can be caused to be presented to the driver at the determined intensity level.

Abstract: An example operation may include one or more of identifying a target device has entered a transport and has initiated a transport event at a target location, applying permissions, associated with the target device, to the transport event, determining a transport event modification has occurred, when the transport has stopped moving for a predetermined period of time and one or more transport operations have occurred, prior to arriving at a transport event destination, determining whether the permissions permit the transport event modification, and notifying one or more registered devices associated with the target device of the transport event modification.

Abstract: An example operation includes one or more of determining a time when a battery of an electric transport loses efficiency below a threshold, determining a device apart from the transport that can be powered above the threshold using the battery, and providing a net gain or a net loss related to the electric transport and the device, when the battery is removed from the electric transport to power the device.

Abstract: A battery manager includes a pattern estimator, a prediction engine, and a charging scheduler. The pattern estimator estimates a driving pattern of an electric vehicle. The prediction engine predicts a charging parameter based on at least one of the driving pattern or driver charging behavior. The charging scheduler outputs the charging parameter to control charging of a secondary battery of the electric vehicle. The pattern estimator may estimate the driving pattern based on information from at least one information source of the electric vehicle. The prediction engine predicts the charging parameter of the secondary battery in preparation of a future use of the electric vehicle.

Abstract: Methods, systems, and devices for a cross-linked distributed ledger. The cross-referencing system includes multiple computing devices including a first computing device and a second computing device. A computing device of the multiple computing devices is configured to maintain a first cross-linked distributed ledger. The first cross-linked distributed ledger has a first set of multiple linked records that are associated with a first identifier. The first computing device includes a processor. The processor is configured to link or provide a first record associated with the first identifier to the first cross-linked distributed ledger. The first record has a first reference to a second record. The second record is within a second set of multiple cross-linked records of a second cross-linked distributed ledger.

Abstract: An example operation may include one or more of receiving a request from a requesting device to initiate a transport to perform a transport event at a target location, identifying the transport to perform the transport event, identifying a target device associated with the transport event is located at the target location, receiving location updates of the transport and the target device at a server, determining the transport has initiated the transport event based on the location updates of the transport, determining the target device and the transport are proximate to one another based on the location updates, and monitoring the location updates to identify whether the transport has deviated from a target travel path area.

Abstract: Apparatuses, methods and systems provide technology to detect a pest-related fault or failure of an electronic control unit (ECU). The technology may also detect a presence of one or more pests via cameras, LiDAR sensors, RADAR sensors, motion sensors, one or more sound sensors, or one or more heat sensors. The technology may also provide countermeasures to disable, remove or eradicate the pests from the vehicle. The countermeasures may include one or more of a laser to target small pests, an electrical discharge insect control system to exterminate insects, and a vibration or sound emission system to target rodents.

Abstract: A method of determining one or more actions of a vehicle approaching an intersection having traffic lights is provided. Traffic information can be received from the traffic lights. A speed of the vehicle can be detected by a sensor. A distance between the vehicle and an intersection can be determined by processing circuitry. An amount of time for the vehicle to reach the intersection can be calculated. The traffic information with the amount of time can be compared. The one or more actions of the vehicle based on the comparison can be determined.

Abstract: The efficiency of commercial vehicle operations can be facilitated by using a blockchain. The blockchain can be used to track commercial operators and provide a logistical network for swapping operators. An operator identity for an initial operator of a vehicle and a route limitation indicating operator restrictions with respect to a route can be recorded in a blockchain database. Using a vehicle operation history retrieved from the blockchain database for the initial operator, a time frame for operation of the vehicle by the initial operator can be determined based on the route limitation and the vehicle operation history. An operator swap event at a swap location can be coordinated so that control of the vehicle can be transferred from the initial operator to a subsequent operator based on the time frame. The operator swap event and a subsequent operator identity can be recorded in the blockchain database.

Abstract: A change in state is identified of cargo that, at least for a time period, is carried by a vehicle. Spatiotemporal data indicative of a time and a place at which the change in state of the cargo occurs are assembled. The spatiotemporal data are recorded in a distributed electronic ledger. An occupant of the vehicle is alerted of the change in state of the cargo.

Abstract: Apparatuses, methods and systems provide technology to detect a pest-related fault or failure of an electronic control unit (ECU). The technology may also detect a presence of one or more pests via cameras, LiDAR sensors, RADAR sensors, motion sensors, one or more sound sensors, or one or more heat sensors. The technology may also provide countermeasures to disable, remove or eradicate the pests from the vehicle. The countermeasures may include one or more of a laser to target small pests, an electrical discharge insect control system to exterminate insects, and a vibration or sound emission system to target rodents.

Abstract: Vehicle alerts can be presented to the driver of a vehicle based on behaviors. It can be determined whether the driver will avoid an identified risk at a current location of the vehicle. Such a determination can be based on the past driving behavior of the driver and/or a general driving behavior of one or more other drivers. It can be determined whether to present an alert about the identified risk based on whether the driver will avoid the identified risk. In response to determining to that an alert about the identified risk should be presented, an intensity level for the alert can be determined. The alert can be caused to be presented to the driver at the determined intensity level.

Abstract: Methods and systems may provide for technology to collect data related to tire pressure of a vehicle via one or more tire pressure monitoring sensors (TPMS), and provide a warning for a low or high tire pressure based on weather patterns determined by a historic weather data subsystem. The weather patterns may include fluctuations and steady states of temperature. A TPMS machine learning subsystem may use tire pressure data and weather data to provide an alert as to whether an indicator associated with the one or more TPMS sensors was activated due to changing weather. The TPMS machine learning subsystem may also determine a probable accuracy of the TPMS alert based on the TPMS data and weather-related data including checking for outliners in the weather patterns.

Abstract: Methods, systems, and apparatus for automatically responding to at least partial submersion of a vehicle in water. The system includes a sensor configured to detect sensor data indicating whether the vehicle is at least partially submerged in water. The system includes an electronic control unit (ECU) connected to the sensor. The ECU is configured to determine that the vehicle is at least partially submerged in water based on the sensor data. The ECU is also configured to adjust at least one feature of the vehicle in response to the determination that the vehicle is at least partially submerged in water.

Abstract: An example operation may include one or more of receiving a request from a requesting device to initiate a transport to perform a transport event at a target location, identifying the transport to perform the transport event, identifying a target device associated with the transport event is located at the target location, receiving location updates of the transport and the target device at a server, determining the transport has initiated the transport event based on the location updates of the transport, determining the target device and the transport are proximate to one another based on the location updates, and monitoring the location updates to identify whether the transport has deviated from a target travel path area.

Abstract: An example operation may include one or more of identifying a target device has entered a transport and has initiated a transport event at a target location, applying permissions, associated with the target device, to the transport event, determining a transport event modification has occurred, when the transport has stopped moving for a predetermined period of time and one or more transport operations have occurred, prior to arriving at a transport event destination, determining whether the permissions permit the transport event modification, and notifying one or more registered devices associated with the target device of the transport event modification.

Abstract: The efficiency of commercial vehicle operations can be facilitated by using a blockchain. The blockchain can be used to track commercial operators and provide a logistical network for swapping operators. An operator identity for an initial operator of a vehicle and a route limitation indicating operator restrictions with respect to a route can be recorded in a blockchain database. Using a vehicle operation history retrieved from the blockchain database for the initial operator, a time frame for operation of the vehicle by the initial operator can be determined based on the route limitation and the vehicle operation history. An operator swap event at a swap location can be coordinated so that control of the vehicle can be transferred from the initial operator to a subsequent operator based on the time frame. The operator swap event and a subsequent operator identity can be recorded in the blockchain database.

Abstract: A system for detecting a problematic health situation generally includes a vehicle. The vehicle comprises a sensor configured to detect a physiological characteristic of an occupant of the vehicle, an environmental sensor configured to detect an environmental characteristic of the vehicle, and a profile generation module including a memory. The profile generation module is configured to store a physiological characteristic measurement corresponding to the occupant of the vehicle, store an environmental characteristic measurement corresponding to the vehicle, and transmit the physiological characteristic measurement and the environmental characteristic measurement. The system comprises a server configured to compare the physiological characteristic measurement to a database of physiological characteristic measurements corresponding to the occupant of the vehicle.

Abstract: A system for detecting a problematic health situation generally includes a vehicle. The vehicle comprises a sensor configured to detect a physiological characteristic of an occupant of the vehicle, an environmental sensor configured to detect an environmental characteristic of the vehicle, and a profile generation module including a memory. The profile generation module is configured to store a physiological characteristic measurement corresponding to the occupant of the vehicle, store an environmental characteristic measurement corresponding to the vehicle, and transmit the physiological characteristic measurement and the environmental characteristic measurement. The system comprises a server configured to compare the physiological characteristic measurement to a database of physiological characteristic measurements corresponding to the occupant of the vehicle.

Abstract: Methods, systems, and devices for a cross-linked distributed ledger. The cross-referencing system includes multiple computing devices including a first computing device and a second computing device. A computing device of the multiple computing devices is configured to maintain a first cross-linked distributed ledger. The first cross-linked distributed ledger has a first set of multiple linked records that are associated with a first identifier. The first computing device includes a processor. The processor is configured to link or provide a first record associated with the first identifier to the first cross-linked distributed ledger. The first record has a first reference to a second record. The second record is within a second set of multiple cross-linked records of a second cross-linked distributed ledger.