ItemFlowObserved

December 20, 2023 · View on GitHub

Smart Data Models

ItemFlowObserved

Version: 0.0.2

Description

The data model intended to measure an observation linked to the movement of an item at a certain location and over a given period. This Data Model proposes an evolution of two Data Model by merging them and integrating all the attributes of the initial version of [TrafficFlowObserved] and [CrowFlowObserved] and by extension any type of item that we want to analyze the movements. Attributes vehicleType and vehicleSubType are removed from the initial data Model in order to become generic itemType and itemSubType of possible values. (people, Type of vehicle, Type of boat, Type of plane, ...).

Specification

Link to the interactive specification

Link to the specification

Enlace a la Especificación en español

Lien vers le spécification en français

Link zur deutschen Spezifikation

Link alla specifica

仕様へのリンク

链接到规范

사양 링크

Examples

Link to the example (keyvalues) for NGSI v2

Link to the example (keyvalues) for NGSI-LD

Link to the example (normalized) for NGSI-V2

Link to the example (normalized) for NGSI-LD

Link to the example (keyvalues) for NGSI v2 in CSV format

Link to the example (keyvalues) for NGSI-LD in CSV format

Link to the example (normalized) for NGSI-V2 in CSV format

Link to the example (normalized) for NGSI-LD in CSV format

Dynamic Examples generation

Link to the Generator of NGSI-LD normalized payloads compliant with this data model. Refresh for new values

Link to the Generator of NGSI-LD keyvalues payloads compliant with this data model. Refresh for new values

Link to the Generator of geojson feature format payloads compliant with this data model. Refresh for new values

PostgreSQL schema

Link to the PostgreSQL schema of this data model

Contribution

If you have any issue on this data model you can raise an issue or contribute with a PR

If you wish to develop your own data model you can start from contribution manual. Several services have been developed to help with: