ITS Roadway Equipment --> Emissions Management Center:
air quality sensor data

Definitions

air quality sensor data (Information Flow): Measured air quality data, including measured levels of atmospheric pollutants including ozone, particulate matter, carbon monoxide, and nitrogen oxides, and operational status of the sensors.

ITS Roadway Equipment (Source Physical Object): 'ITS Roadway Equipment' represents the ITS equipment that is distributed on and along the roadway that monitors and controls traffic and monitors and manages the roadway. This physical object includes traffic detectors, environmental sensors, traffic signals, highway advisory radios, dynamic message signs, CCTV cameras and video image processing systems, grade crossing warning systems, and ramp metering systems. Lane management systems and barrier systems that control access to transportation infrastructure such as roadways, bridges and tunnels are also included. This object also provides environmental monitoring including sensors that measure road conditions, surface weather, and vehicle emissions. Work zone systems including work zone surveillance, traffic control, driver warning, and work crew safety systems are also included.

Emissions Management Center (Destination Physical Object): The 'Emissions Management Center' provides the capabilities for air quality managers to monitor and manage air quality. These capabilities include collecting emissions data from distributed emissions sensors (included in ITS Roadway Equipment) and directly from connected vehicles. The sensors monitor general air quality and also monitor the emissions of individual vehicles on the roadway. The measures are collected, processed, and used to support environmental monitoring applications.

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:

Communication Solutions

Solutions are sorted in ascending Gap Severity order. The Gap Severity is the parenthetical number at the end of the solution.

Selected Solution

Data for Distribution (TBD) - OMG DDS

Solution Description

This solution is used within Canada and the U.S.. It combines standards associated with Data for Distribution (TBD) with those for OMG DDS. The Data for Distribution (TBD) standards include a placeholder for upper-layer standards necessary to define the data (elements and structures) necessary to complete a solution for the information flow based on data distribution technologies. The data standard will need to include a specific customization for the desired data distribution technology used (e.g., Kafka, DDS, etc.).. The OMG DDS standards include lower-layer standards that support secure data sharing and command operations between remote devices.

ITS Application Entity
Mind the gapMind the gap

Development needed
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Mgmt

OMG DDS
Facilities
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OMG DDS
OMG DDS-RPC
OMG DDSI-RTPS
Security

OMG DDS-Security
TransNet

IETF RFC 768
IP Alternatives
Access

Internet Subnet Alternatives
TransNet TransNet

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Facility Facility

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Note that some layers might have alternatives, in which case all of the gap icons associated with every alternative may be shown on the diagram, but the solution severity calculations (and resulting ordering of solutions) includes only the issues associated with the default (i.e., best, least severe) alternative.

Characteristics

Characteristic Value
Time Context Recent
Spatial Context Local
Acknowledgement True
Cardinality Unicast
Initiator Destination
Authenticable True
Encrypt False


Interoperability Description
Local In cases where an interface is normally encapsulated by a single stakeholder, interoperability is still desirable, but the motive is vendor independence and the efficiencies and choices that an open standards-based interface provides.

Security

Information Flow Security
  Confidentiality Integrity Availability
Rating Not Applicable Moderate Low
Basis Probably not sensitive information, no harm in this data being captured by unintended party. At least some guarantee of correctness should be had with this data. It could be used to modify transit/traffic strategies over a large area ("its a code ORANGE day out there, don't run") that change behavior for a large number of people. This could be MODERATE if emissions information is critical to decision making.


Security Characteristics Value
Authenticable True
Encrypt False