Abstract: Systems and methods allow for incident data collection and management system based on unmanned aerial vehicles (UAVs), that is, drones to help accelerate the data collection and analytics, information dissemination, and decision support at incident sites. The system architecture may include onsite, server, and offline components including flight planning subsystem, flight execution and mission control subsystem, information dissemination subsystem to travelers and traveler information services, the interface with traffic management center, and the data analytic, visualization, and training subsystems. Other embodiments include the video-based 3D incident site reconstruction methods, site positioning and scaling methods with pre-collected static background infrastructure data, data management and user charging methods, and training methods with the generated 3D model.

Abstract: Systems and methods allow for incident data collection and management system based on unmanned aerial vehicles (UAVs), that is, drones to help accelerate the data collection and analytics, information dissemination, and decision support at incident sites. The system architecture may include onsite, server, and offline components including flight planning subsystem, flight execution and mission control subsystem, information dissemination subsystem to travelers and traveler information services, the interface with traffic management center, and the data analytic, visualization, and training subsystems. Other embodiments include the video-based 3D incident site reconstruction methods, site positioning and scaling methods with pre-collected static background infrastructure data, data management and user charging methods, and training methods with the generated 3D model.

Abstract: Systems and methods allow for incident data collection and management system based on unmanned aerial vehicles (UAVs), that is, drones to help accelerate the data collection and analytics, information dissemination, and decision support at incident sites. The system architecture may include onsite, server, and offline components including flight planning subsystem, flight execution and mission control subsystem, information dissemination subsystem to travelers and traveler information services, the interface with traffic management center, and the data analytic, visualization, and training subsystems. Other embodiments include the video-based 3D incident site reconstruction methods, site positioning and scaling methods with pre-collected static background infrastructure data, data management and user charging methods, and training methods with the generated 3D model.

Abstract: Systems and methods allow for incident data collection and management system based on unmanned aerial vehicles (UAVs), that is, drones to help accelerate the data collection and analytics, information dissemination, and decision support at incident sites. The system architecture may include onsite, server, and offline components including flight planning subsystem, flight execution and mission control subsystem, information dissemination subsystem to travelers and traveler information services, the interface with traffic management center, and the data analytic, visualization, and training subsystems. Other embodiments include the video-based 3D incident site reconstruction methods, site positioning and scaling methods with pre-collected static background infrastructure data, data management and user charging methods, and training methods with the generated 3D model.

Abstract: Systems and methods allow for incident data collection and management system based on unmanned aerial vehicles (UAVs), that is, drones to help accelerate the data collection and analytics, information dissemination, and decision support at incident sites. The system architecture may include onsite, server, and offline components including flight planning subsystem, flight execution and mission control subsystem, information dissemination subsystem to travelers and traveler information services, the interface with traffic management center, and the data analytic, visualization, and training subsystems. Other embodiments include the video-based 3D incident site reconstruction methods, site positioning and scaling methods with pre-collected static background infrastructure data, data management and user charging methods, and training methods with the generated 3D model.

Abstract: Systems and methods allow for incident data collection and management system based on unmanned aerial vehicles (UAVs), that is, drones to help accelerate the data collection and analytics, information dissemination, and decision support at incident sites. The system architecture may include onsite, server, and offline components including flight planning subsystem, flight execution and mission control subsystem, information dissemination subsystem to travelers and traveler information services, the interface with traffic management center, and the data analytic, visualization, and training subsystems. Other embodiments include the video-based 3D incident site reconstruction methods, site positioning and scaling methods with pre-collected static background infrastructure data, data management and user charging methods, and training methods with the generated 3D model.