# An ML-Based Solution in the Transformation towards a Sustainable Smart City
## 2 AI in SSC
### AI in Selected Areas of SSCs  
Mobility within SCs is a problem where poor management will lead not only to traffic congestion and protests by residents, but also to a waste of fuel, loss of residents' time and their employers' time (e.g., due to lateness and absence from work) and delays in the supply chain (and, consequently, a shortage in products and services). So far, electric cars, car sharing or public transport as integrated transport solutions have seemed to be the \begin{table}
\begin{tabular}{c c c} \hline \hline
**Area** & **Subarea** & **Tasks** \\ \hline \multirow{4}{*}{Waste management} & Intelligent waste collection & AI is used in waste management to optimise collection routes, reducing fuel consumption and operational costs. AI can also help sort waste more efficiently, increasing recycling rates. \\ \cline{2-3}  & Waste prediction & AI models predict trends in waste generation, helping cities to better plan waste treatment and recycling. \\ \hline \multirow{4}{*}{Climate resilience} & Climate modelling & AI models help cities understand the long-term impacts of climate change and develop mitigation strategies. \\ \cline{2-3}  & Disaster response & AI is used in disaster management systems to predict natural disasters, such as earthquakes or hurricanes, and effectively coordinate response actions. \\ \hline \multirow{4}{*}{Other areas} & Smart governance & AI is used to analyse data from citizen feedback and social media to improve public services and respond more effectively to citizens’ needs. \\ \cline{2-3}  & Public safety & AI enhances public safety with surveillance systems that can detect and respond to criminal activity or accidents in real time. \\ \cline{2-3}  & Resource allocation & Artificial intelligence helps optimise the allocation of urban resources, ensuring that sustainability goals are achieved without compromising efficiency. \\ \cline{2-3}  & Big Data analysis & AI processes vast amounts of data from a variety of city sensors and IoT devices, providing insights that help city managers make informed decisions about sustainability initiatives. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: _Cont._right solution that could reduce traffic on the roads and reduce the emission of harmful gases into the atmosphere (i.e., reducing smog), often while maintaining the privacy of users [11; 12]. With an ageing population, supporting elderly people's mobility and day-to-day activities, and preventing falls, require monitoring of residents without disrupting their daily activities or making them feel like they are being watched [6]. It seems that a responsible and well-thought-out combination of urban innovations will lead to the creation of effective SSCs that shape the comfort of, and have a positive impact on, the lives of their residents [13]. An underestimated aspect is the durability of SSCs despite their ongoing, required evolution in areas as important as transport and preventive medicine [3]. With the development of ICT (new generation, sixth generation communication system [6G]) and modifications in ways of life and methods of communication, the continuous evolution of urban environments has led to the emergence of the concept of a smart sustainable city (SSC). This will further connect city infrastructure (including vehicles, robots and sensors) in order to communicate, respond and act in real or near real time with high efficiency of city operations and services. 6G candidate technologies primarily include terrestrial networks, advanced mobile edge computing, vision-enhanced wireless communications, artificial intelligence (AI)-based wireless communications, and integrated sensing and communications [14]. This makes it possible for the SSC to constantly adapt the concept to the conditions [15]. Participation indicators, open innovations (not only technological, but also social) should be promoted in the SSC within social networks [16].