Charging activities simulation of electric cars in urban areas

The continuous evolution of transport technology is including a gradual electrification of the circulating car fleet. This trend requires the support of an adequate charging infrastructure network, available also at a city level. Consequently most of the cities are moving towards this directions to satisfy these needs. Following that way, the availability of charging stations has become crucial in ensuring the suitability of electric mobility. As a consequence, cities are faced to modernize and adapt to accommodate these new expectations. In response to this demand, the availability of charging stations has emerged as a critical factor in determining the diffusion of electric vehicles. These charging stations act as pivotal points that enable owners to recharge their vehicles, reducing range anxiety and promoting the overall diffusion of electric cars as real alternatives to traditional internal combustion engine vehicles. Possible solutions to withstand these needs are electric vehicle car parking areas equipped with a range of services; they stand out as a possible solution due to their potential to address most of the charging needs while optimizing space utilization in urban landscapes. By integrating charging infrastructure directly into parking facilities, cities can leverage existing spaces more efficiently and create integrated hubs that serve the needs of electric vehicle users in a multimodal transportation approach. This solution may cover the challenges of charging accessibility, urban space management, and user convenience. To achieve a coherent result, the analysis and simulation of traffic in a specific geographical area have become two indispensable tools in urban planning and environmental assessment. This study focuses on the application of advanced traffic modeling and simulation techniques to study and analyze traffic flow, congestion, and the impact of planning decisions on charging stations within the cities. By using real- world data to feed the simulation software, this research aims to provide valuable insights into traffic behavior, helping making decisions for urban infrastructure development and improving the overall quality of the charging service for residents and commuters in this area.