Standards Development

Scope

This document describes a basic role model of smart city mobility monitoring and services by data sharing platform as a common platform for smart city instantiation. It provides a paradigm describing:

a) a framework architecture for the provision of a mobility monitoring service

b) a description of the concept of operations, and the role models

c) a conceptual architecture between actors involved in the provision/receipt of mobility monitoring service applications

d) references for the key documents on which the architecture is based

e) a taxonomy of the organization of generic procedures. scope is specialized in defining the requirements of the basic role and functional model of service for the introduction of mobility monitoring services including infrastructure facilities to support mobility in urban and rural areas.

In-vehicle control system is not in scope of this document.

This document describes the scope limited to the mobility monitoring services using physical and digital infrastructure.

The physical infrastructure facilities are, for example, battery charging facility, dynamic charging facility for battery electric vehicle, physical infrastructure markings, physical traffic regulation signs, mobility monitoring facility, emergency responding service support facility, traffic operation control centre facility, fee collection service facility such as road usage fee, battery EV charging facility, online reservation and online mobility usage fee payment facility, bus stations at starting/terminal and interchange points and the passenger facilities there, such as eateries and first-aid points and other infrastructure platform facility to support mobility monitoring services. This document can contribute to the development of future mobility monitoring service business cases other than system service described within this document.

The digital infrastructure (DI) is a data sharing platform, and it houses smart city sensor data, static, semi-dynamic and dynamic, and those are automatically structured onto 3D HD map by the support of AI (artificial intelligence) and other automated data aggregation tools. The sensor data collected have different timing, unit, format, and therefore such automated tools are suggested to be employed.

This architecture could be extended to be used for other mobility services such as MoD (mobility on demand) and MaaS (mobility as a service) in smart cities.