Emissions Management Center --> Archived Data System:
emissions archive data
Definitions
emissions archive data (Information Flow): Air quality and vehicle emissions information that is collected by sensors or derived from models. Content may include a catalog of available information, the actual information to be archived, and associated meta data that describes the archived information.
Emissions Management Center (Source 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.
Archived Data System (Destination Physical Object): The 'Archived Data System' collects, archives, manages, and distributes data generated from ITS sources for use in transportation administration, policy evaluation, safety, planning, performance monitoring, program assessment, operations, and research applications. The data received is formatted and tagged with attributes that define the data source, conditions under which it was collected, data transformations, and other information (i.e. meta data) necessary to interpret the data. The archive can fuse ITS generated data with data from non-ITS sources and other archives to generate information products utilizing data from multiple functional areas, modes, and jurisdictions. The archive prepares data products that can serve as inputs to federal, state, and local data reporting systems. The 'Archived Data System' may reside within an operational center and provide focused access to a particular agency's data archives. Alternatively, it may operate as a distinct center that collects data from multiple agencies and sources and provides a general data warehouse service.
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
- (None-Data) - Secure Internet (ITS) (43)
- US: ADMS - Secure Internet (ITS) (43)
- Data for Distribution (TBD) - Apache Kafka (44)
- Data for Distribution (TBD) - OMG DDS (44)
- Data for Distribution (TBD) - OASIS MQTT (50)
- Data for Distribution (TBD) - OASIS AMQP (61)
Selected Solution
Solution Description
ITS Application Entity
Development needed |
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Mgmt
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Facilities
Development needed |
Security
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TransNet
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Access
Internet Subnet Alternatives |
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 | Historical |
Spatial Context | Regional |
Acknowledgement | True |
Cardinality | Unicast |
Initiator | Destination |
Authenticable | True |
Encrypt | True |
Interoperability | Description |
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Regional | Interoperability throughout the geopolitical region is highly desirable, but if implemented differently in different transportation management jurisdictions, significant benefits will still accrue in each jurisdiction. Regardless, this Information Flow Triple should be implemented consistently within a transportation jurisdiction (i.e., the scope of a regional architecture). |
Security
Information Flow Security | ||||
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Confidentiality | Integrity | Availability | ||
Rating | Moderate | Moderate | Low | |
Basis | While this flow should not include any PII, as any PII in the underlying data should be stripped prior to being sent to an archive, this is not guaranteed. Even if PII is all removed prior, this flow is very large in scope and its compromise to unintended recipients may enable large scale data analysis that compromises personal information through circumstantial, aggregative or other combinatorial analysis. | May include performance information that needs to be timely and correct so that errors may be identified and corrected. Large in scope so any errors effects may be magnified. | Not a real time service, so intermittent availability should suffice. |
Security Characteristics | Value |
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Authenticable | True |
Encrypt | True |