Abstract: A device described herein may maintain a sets of service parameters respectively associated with multiple networks. The device may receive a request, including may include an identifier of a User Equipment (“UE”), to register the UE with a particular network. The device may identify, based on the request, a particular set of service parameters associated with the particular network, and may output an indication, to the particular network, indicating the identifier of the UE and the identified particular set of service parameters. The particular network may select or generate a set of network credentials based on receiving the indication, which may be used by the UE to access the particular network. The particular network may provide service to the UE in accordance with the particular set of service parameters.

Abstract: A network device receives, from multiple smart cameras located at different road segments of multiple real-world road segments, first data describing a location and configuration of each of the multiple real-world road segments, and second data describing movement of one or more objects at each of the multiple real-world road segments. The network device generates multiple virtual road segments based on the first data, wherein each of the multiple virtual road segments describes one of the multiple real-world road segments; and uses a physics engine to simulate, based on the generated multiple virtual road segments and the second data, movement of vehicles or pedestrians through the multiple real-world road segments to analyze traffic characteristics, trends or events. The network device generates road segment alterations for reconfiguring one or more of the multiple real-world road segments based on the analysis of the traffic characteristics, trends, or events.

Abstract: A device can receive data related to a roadway. The data can include video data of the roadway. The device can determine a pixel area of objects shown in the video data. The device can determine that a vehicle and an individual are associated with the roadway at a same time. The device can determine a protective zone around the individual based on a first pixel area of the individual. The protective zone can be associated with detecting a potential collision between the vehicle and the individual. The device can determine a first location and movement of the vehicle relative to a second location and movement of the individual. The device can predict that a second pixel area of the vehicle is to intersect the protective zone of the individual. The device can detect the potential collision. The device can perform one or more actions.

Abstract: A network device receives, from multiple smart cameras located at different road segments of multiple real-world road segments, first data describing a location and configuration of each of the multiple real-world road segments, and second data describing movement of one or more objects at each of the multiple real-world road segments. The network device generates multiple virtual road segments based on the first data, wherein each of the multiple virtual road segments describes one of the multiple real-world road segments; and uses a physics engine to simulate, based on the generated multiple virtual road segments and the second data, movement of vehicles or pedestrians through the multiple real-world road segments to analyze traffic characteristics, trends or events. The network device generates road segment alterations for reconfiguring one or more of the multiple real-world road segments based on the analysis of the traffic characteristics, trends, or events.