Interface: California TMC - NDOT District 2 Road Operations Center
Architecture Flow Definitions
device control request (Existing) Applicable ITS Standards
Request for device control action
device data (Existing) Applicable ITS Standards
Data from detectors, environmental sensor stations, roadside equipment, and traffic control devices, including device inventory information.
device status (Existing) Applicable ITS Standards
Status information from devices
emergency traffic coordination (Existing) Applicable ITS Standards
Coordination supporting disaster response including evacuation and reentry. Includes coordination of special traffic control strategies that support efficient evacuation and reentry while protecting and optimizing movement of response vehicles and other resources responding to the emergency.
incident information (Existing) Applicable ITS Standards
Notification of existence of incident and expected severity, location, time and nature of incident. As additional information is gathered and the incident evolves, updated incident information is provided. Incidents include any event that impacts transportation system operation ranging from routine incidents (e.g., disabled vehicle at the side of the road) through large–scale natural or human–caused disasters that involve loss of life, injuries, extensive property damage, and multi–jurisdictional response. This also includes special events, closures, and other planned events that may impact the transportation system.
road network conditions (Existing) Applicable ITS Standards
Current and forecasted traffic information, road and weather conditions, and other road network status. Either raw data, processed data, or some combination of both may be provided by this flow. Information on diversions and alternate routes, closures, and special traffic restrictions (lane/shoulder use, weight restrictions, width restrictions, HOV requirements) in effect is included.
traffic images (Existing) Applicable ITS Standards
High fidelity, real–time traffic images suitable for surveillance monitoring by the operator or for use in machine vision applications. This flow includes the images and meta data that describes the images.