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:
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Communication Solutions
- US: NTCIP Environmental Sensors - SNMPv3/TLS (6)
- US: NTCIP Environmental Sensors - SNMPv1/TLS (7)
- US: NTCIP Environmental Sensors - SNMPv1 (33)
- (None-Data) - Secure Internet (ITS) (43)
- Data for Distribution (TBD) - Apache Kafka (44)
- Data for Distribution (TBD) - OMG DDS (44)
- (None-Data) - OASIS MQTT (50)
- Data for Distribution (TBD) - OASIS MQTT (50)
- (None-Data) - OASIS AMQP (61)
- Data for Distribution (TBD) - OASIS AMQP (61)
Selected Solution
Solution Description
ITS Application Entity
NTCIP 1204 |
Click gap icons for more info.
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Mgmt
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Facilities
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Security
IETF RFC 6353 IETF RFC 9456 |
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TransNet
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Access
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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 |
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Time Context | Recent |
Spatial Context | Local |
Acknowledgement | True |
Cardinality | Unicast |
Initiator | Destination |
Authenticable | True |
Encrypt | False |
Interoperability | Description |
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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 | ||||
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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 |
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Authenticable | True |
Encrypt | False |