This document defines and establishes methodologies for a set of indicators to steer and measure the performance of city services and quality of life. It follows the principles set out in ISO 37101 and can be used in conjunction with ISO 37101 and other strategic frameworks. This document is applicable to any city, municipality or local government that undertakes to measure its performance in a comparable and verifiable manner, irrespective of size and location.
ISO/IEC 30182:2017 describes, and gives guidance on, a smart city concept model (SCCM) that can provide the basis of interoperability between component systems of a smart city, by aligning the ontologies in use across different sectors. It includes: (a) concepts (e.g. ORGANIZATION, PLACE, COMMUNITY, ITEM, METRIC, SERVICE, RESOURCE); and (b)
relationships between concepts (e.g. ORGANIZATION has RESOURCEs, EVENT at a PLACE)
The SCCM does not replace existing models where they exist, but, by mapping from a local model to a parent model, questions can be asked about data in a new and joined-up way.
ISO/IEC 30182:2017 is aimed at organizations that provide services to communities in cities, and manage the resulting data, as well as decision-makers and policy developers in cities.
The SCCM is relevant wherever many organizations provide services to many communities within a place.It does not cover the data standards that are relevant to each concept in the SCCM and does not attempt to list or recommend the sources of identifiers and categorizations that cities map to the SCCM. The SCCM has been devised to communicate the meaning of data. It does not attempt to provide concepts to describe the metadata of a dataset, for example, validity and provenance of data. It covers semantic interoperability, that is, defining the meaning of data, particularly from many sources. It does not cover other barriers to interoperability.
Recommendation ITU-T Y.4470 establishes artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs), and provides the common characteristics and high-level requirements, reference architecture and relevant common capabilities of AISE. AISE is one of the basic supporting functional entities for SSCs, with which SSC services can use uniform reference points (exposed by AISE) to integrate and access the artificial intelligence (AI) capabilities of AI services (e.g., machine learning services for image recognition, natural language processing services and traffic prediction services). In addition, AISE can collect and open SSC data, and it supports AI services to train and supply AI capabilities in AISE in SSCs.
Recommendation ITU-T Y.4209 addresses the interoperation of the smart port with the smart city, identifying the requirements for the smart port platform to be able to interoperate with smart city platforms and other smart elements in the environment where the port is located, in order to provide enhanced services.Nautical services and other services management provided by the smart port are out of the scope of this Recommendation.Security aspects required by customs and immigration authorities are out of scope of this Recommendation.Interoperation with other ports is out of scope of this Recommendation given the focus of this Recommendation is on interoperation between the smart port and the smart city.Clause 6 provides an overview of the smart port in terms of interoperation with the components of the smart port ecosystem.Clause 7 describes high-level requirements for the smart port platform to enable interoperation with smart city platforms and/or other smart elements.Clause 8 describes the requirements of interoperation between the smart port platform and smart city platforms and/or other smart elements.Clause 9 describes the smart services provided by the smart port platform interoperating with smart city platforms and/or other smart elements.
Interfaces for intelligently distributing and replicating content over heterogeneous networks to portable and intermediate devices with local storage are defined.
Data messages, known as Protocol Data Units (PDUs), that are exchanged on a network among simulation applications are defined. These PDUs are for interactions that take place within specified domains called protocol families, which include Entity Information/Interaction, Warfare, Logistics, Simulation Management, Distributed Emission Regeneration, Radio Communications, Entity Management, Minefield, Synthetic Environment, Simulation Management with Reliability, Information Operations, Live Entity Information/Interaction, and Non-Real-Time protocol.
Specify an initial extension to SAREF to include the semantic model for Smart Cities
. This initial extension will be based on a limited set of use cases and available existing data model identified in the corresponding requirement TR.
This work is expected to be developed in close collaboration with AIOTI, the H2020 Large Scale Pilots and with ETSI activities in the Smart Cities, primarily ISG CIM. Use cases and related semantic model are expected to be aligned with corresponding work in CIM.
Further extensions are envisaged in future to cover entirely the Smart Cities domain.
This standard defines topology, functions, and governance for cloud-to-cloud interoperability and federation. Topological elements include clouds, roots, exchanges (which mediate governance between clouds), and gateways (which mediate data exchange between clouds). Functional elements include name spaces, presence, messaging, resource ontologies (including standardized units of measurement), and trust infrastructure. Governance elements include registration, geo-independence, trust anchor, and potentially compliance and audit. The standard does not address intra-cloud (within cloud) operation, as this is cloud implementation-specific, nor does it address proprietary hybrid-cloud implementations.
This document specifies a generic knowledge management framework for a smart city, focusing on creating, capturing, sharing, using and managing smart city knowledge. It also gives the key practices which are required to be implemented to safeguard the use of knowledge, such as interoperability of heterogeneous data and governance of multi-sources services within a smart city.
This document describes a framework, structured in layers of ICT technologies, essential for smart cities' operation. This framework also provides the mapping of the ICT techniques to various system entities in order to support the smart city's business, knowledge management, and operational systems from the engineering perspective.
This document defines a comprehensive set of evaluation indicators specially related to information and communication technologies (ICT) adoption and usage in smart cities. Firstly, it establishes an overall framework for all the indicators. Then, it specifies the name, description, classification and measurement method for each indicator.
The purpose of this Group Specification is to define or identify a cross-domain data model compatible with the CIM API defined in WI API0, for use in testing that preliminary API specification. The preliminary cross-cutting data model shall be applied using two or more of the use case domains in WI UC. It is not essential that the data model be in any sense comprehensive, but it should allow testing of all functions of CIM API0.
It is expected that recent work within ETSI SmartM2M and within oneM2M will strongly influence this preliminary specification.
