With the trend of continuous population growth, large cities are facing many challenges in the field of urban mobility and city logistics, which has a great impact on the environment and the quality of life of its citizens. The term "Smart cities" is increasingly used in the literature and it refers to the cities which use the latest technological innovations to achieve sustainable development through digital transformation and exchange of data from various sectors in order to optimize traffic flows and reduce the negative impact on the environment.
The theoretical part of the assignment covers the presentation of the development of global smart cities through different generations and conceptual models, an overview of information and communication technologies (Internet of Things, mass data management, use of artificial intelligence, smart city platforms, cloud computing) and intelligent transport systems as a part of active traffic management and predictive traffic control in smart cities. It discusses trends in the field of mobility (autonomous vehicles, shared mobility, mobility as a service, electric vehicles, use of drones, sustainable forms of mobility, smart parking management) and identifies socio-economic and geographical aspects for development of smart transport technologies around the world.
The empirical part of the task is aimed at analyzing the level of development of smart transport technologies in selected cities (Helsinki, Singapore and Ljubljana) according to chosen criteria and investigating the impact of technological solutions on the environment.
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