The EZ10 electric driverless shuttle, developed by EasyMile, will become the first of its kind to operate under real conditions without an on-board attendant, having the potential to become an essential fixture of smart cities around the world.
The development of Smart Cities around the world comes with several daunting challenges, one of which is the efficient maintenance of the city’s underlying systems of interconnected networks. However, enterprise networks can offer a useful parallel.
The Consortium of the H2020 project NEWBITS (New Business Models for ITS) held its final conference at the European Parliament on 21st of March 2019, having gathered together guests from the European Commission (DG MOVE), European Parliament (ECR Group), as well as representatives of stakeholders, industry speakers and members of ITS community. NEWBITS has produced science knowledge to support the development of the European ITS industry, but also to improve the impact of research on European policy-making.
Within the framework of the H2020 project NEWBITS (New Business Models for ITS), a benchmark analysis of ITS innovation diffusion processes between Europe and the United States was performed, to ground an evidence-based categorisation of success determinants and barriers affecting ITS deployment as well as to formulate key recommendations for successful technology transferability.
The rapid growth of cities around the world poses a variety of challenges. One of these is the additional space needed to store cars. Improved parking technologies, such as robotic parking, can provide an answer. Such solutions are already being implemented.
5G represents one of the hottest new developments in technology and will soon start to be implemented around the world, reaching download speeds of 4.5 GB per second and data transmission speeds of 1.4 GB per second. These speeds are highly anticipated by private users, but they also bring major benefits for smart cities, including the field of traffic safety.
Automatic Traffic Signal Performance Measures (ATSPMs) are a solution for optimizing traffic signal performance. Their use can help Smart Cities optimize traffic flow and improve congestion, a major problem of most urban areas. They can also facilitate the collection of data and decision-making, and enhance the time-consuming and expensive process of retiming signals.