Abstract: An example operation includes one or more of receiving data, by a transport, from a device in proximity to the transport, the data comprises one or more of a speed, a direction, and a distance of the device from the transport, determining, by the transport, a dangerous situation based on the data, obtaining consensus, by the transport, to validate the dangerous situation from one or more of: one or more other devices proximate to the transport, and one or more other transports proximate to the transport, and notifying the device, by the transport, based on the consensus, the notification comprises the dangerous situation.

Abstract: An example operation includes one or more of determining, by a server, an event associated with a transport, receiving, by the server, atypical data related to the transport from a plurality of devices over various times prior to the event, analyzing, by the server, the atypical data, forming, by the server, a consensus based on the analyzed atypical data to determine a severity of the event, and determining, by the server, an action to take based on the severity.

Abstract: An example operation includes one or more of receiving data, by a transport, from a device in proximity to the transport, the data comprises one or more of a speed, a direction, and a distance of the device from the transport, determining, by the transport, a dangerous situation based on the data, obtaining consensus, by the transport, to validate the dangerous situation from one or more of: one or more other devices proximate to the transport, and one or more other transports proximate to the transport, and notifying the device, by the transport, based on the consensus, the notification comprises the dangerous situation.

Abstract: An example operation includes one or more of determining, by a transport, a number of items in the transport, determining, by the transport, a position of each of the items, and in response to a dangerous situation associated with the transport occurring, providing, by the transport, a safety notification associated with at least one of the items.

Abstract: An example operation includes one or more of determining, by a server, an event associated with a transport, receiving, by the server, atypical data related to the transport from a plurality of devices over various times prior to the event, analyzing, by the server, the atypical data, forming, by the server, a consensus based on the analyzed atypical data to determine a severity of the event, and determining, by the server, an action to take based on the severity.

Abstract: An example operation includes one or more of determining, by a server, an event associated with a transport, receiving, by the server, atypical data related to the transport from a plurality of devices over various times prior to the event, analyzing, by the server, the atypical data, forming, by the server, a consensus based on the analyzed atypical data to determine a severity of the event, and determining, by the server, an action to take based on the severity.

Abstract: Methods and systems for verifying a state of a road. The system includes a sensor of a vehicle configured to detect sensor data associated with the road. The system also includes a memory of the vehicle configured to store map data. The system also includes an electronic control unit (ECU) of the vehicle connected to the sensor and configured to determine road data or maneuvering data associated with the road based on the sensor data, and update the map data with the determined road data or maneuvering data.

Abstract: An example operation includes one or more of determining, by a transport, a number of items in the transport, determining, by the transport, a position of each of the items, and in response to dangerous situation associated with the transport occurring, providing, by the transport, a safety notification associated with at least one of the items.

Abstract: An example operation includes one or more of receiving, by a server, first data from a transport experiencing a near accident with a device external to the transport, the first data comprising a location of the transport and information related to a maneuvering of the transport, determining, by the server, that the location of the transport is a dangerous location and the maneuvering of the transport constitutes the near accident based on the first data, and sending a first notification, by the server, to another transport proximate to the dangerous location, the first notification comprises information related to the dangerous location and the near accident.

Abstract: An example operation includes one or more of receiving, by a server, primary data related to an event from one or more devices associated with one or more transports, receiving, by the server, secondary data from one or more other devices proximate to the event, analyzing, by the server, the primary data and the secondary data to determine a severity of the event, and sending, from the server, a first notification o the one or more devices associated with the primary data and a second notification to one or more of the other devices associated with the secondary data, based on the severity of the event.

Abstract: An example operation includes one or more of determining, by a transport, a number of items in the transport, determining, by the transport, a position of each of the items, and in response to a dangerous situation associated with the transport occurring, providing, by the transport, a safety notification associated with at least one of the items.

Abstract: An example operation includes one or more of determining, by a server, an event associated with a transport, receiving, by the server, atypical data related to the transport from a plurality of devices over various times prior to the event, analyzing, by the server, the atypical data, forming, by the server, a consensus based on the analyzed atypical data to determine a severity of the event, and determining, by the server, an action to take based on the severity.

Abstract: An example operation includes one or more of receiving, by a server, first data from a transport experiencing a near accident with a device external to the transport, the first data comprising a location of the transport and information related to a maneuvering of the transport, determining, by the server, that the location of the transport is a dangerous location and the maneuvering of the transport constitutes the near accident based on the first data, and sending a first notification, by the server, to another transport proximate to the dangerous location, the first notification comprises information related to the dangerous location and the near accident.

Abstract: An example operation includes one or more of receiving data, by a transport, from a device in proximity to the transport, the data comprises one or more of a speed, a direction, and a distance of the device from the transport, determining, by the transport, a dangerous situation based on the data, obtaining consensus, by the transport, to validate the dangerous situation from one or more of: one or more other devices proximate to the transport, and one or more other transports proximate the transport, and notifying the device, by the transport, based on the consensus, the notification comprises the dangerous situation.

Abstract: Methods and systems for verifying a state of a road. The system includes a sensor of a vehicle configured to detect sensor data associated with the road. The system also includes a memory of the vehicle configured to store map data. The system also includes an electronic control unit (ECU) of the vehicle connected to the sensor and configured to determine road data or maneuvering data associated with the road based on the sensor data, and update the map data with the determined road data or maneuvering data.