Roadway Environment --> Maint and Constr Vehicle OBE:
environmental conditions

Definitions

environmental conditions (Information Flow): Current road conditions (e.g., surface temperature, subsurface temperature, moisture, icing, treatment status) and surface weather conditions (e.g., air temperature, wind speed, precipitation, visibility) that are measured by environmental sensors.

Roadway Environment (Source Physical Object): 'Roadway Environment' represents the physical condition and geometry of the road surface, markings, signs, and other objects on or near the road surface. It also represents the environmental conditions immediately surrounding the roadway. The roadway environment must be sensed and interpreted to support automated vehicle services. Surrounding conditions may include fog, ice, snow, rain, wind, etc. which will influence the way in which a vehicle can be safely operated on the roadway. The roadway environment must be monitored to enable corrective action and information dissemination regarding roadway conditions which may adversely affect travel. Infrastructure owner/operators can improve the roadway environment to improve the performance and accuracy of vehicle-based sensors that must sense and interpret this environment. Improvements could include changes in the shape, size, design, and materials used in signs, pavement markings, and other road features.

Maint and Constr Vehicle OBE (Destination Physical Object): The 'Maint and Constr Vehicle OBE' resides in a maintenance, construction, or other specialized service vehicle or equipment and provides the processing, storage, and communications functions necessary to support highway maintenance and construction. All types of maintenance and construction vehicles are covered, including heavy equipment, supervisory vehicles, unmanned remote controlled field maintenance robots, and sensory platforms that may be wheeled or low altitude aerial vehicles (e.g. drones, balloons). The MCV OBE provides two-way communications between drivers/operators and dispatchers and maintains and communicates current location and status information. A wide range of operational status is monitored, measured, and made available, depending on the specific type of vehicle or equipment. A snow plow for example, would monitor whether the plow is up or down and material usage information. The Maint and Constr Vehicle OBE may also contain capabilities to monitor vehicle systems to support maintenance of the vehicle itself. A separate 'Vehicle OBE' physical object supports the general vehicle safety and driver information capabilities that apply to all vehicles, including maintenance and construction vehicles. The Maint and Constr Vehicle OBE supplements these general capabilities with capabilities that are specific to maintenance and construction vehicles.

Included In

This Triple is in the following Service Packages:

This triple is associated with the following Functional Objects:

This Triple is described by the following Functional View Data Flows:

This Triple has the following triple relationships:

None

Communication Solutions

No communications solutions identified.

Characteristics

None defined


Interoperability Description
Not Applicable Interoperability ratings don't apply per se to some types of interfaces like human interfaces. These interfaces may still benefit from associated standards (e.g., ergonomic and human factors standards for human interfaces), but the primary motive for these standards is not interoperability.

Security

Information Flow Security
  Confidentiality Integrity Availability
Rating Not Applicable Low Low
Basis Sensor-based information flows by definition have no confidentiality concerns. While typically security concerns related to sensing ignored, if considered this would be LOW, as the obfuscation or failure of any given environmental sensor is likely to be overcome by the mass of data necessary to draw environmental concluisions. While typically security concerns related to sensing ignored, if considered this would be LOW, as the obfuscation or failure of any given environmental sensor is likely to be overcome by the mass of data necessary to draw environmental concluisions.