The SISVU project aims to improve the control and management of the LTZ in the Historic Centre of Roma through the use of innovative technologies, data analysis and sustainable mobility strategies, contributing to the reduction of air pollution and the transformation towards a climate neutral city. 

In the application of automatic access control to the LTZ, Roma Capitale has played, since 1998, a pioneering role, implementing prototypes, implementing procedures, implementing technological processes to support services. The initial main objective was to protect the area of the city richest in architectural and historical resources by reducing private traffic, thereby improving the sustainability of mobility to the historic centre and reducing negative impacts on the environment. At the same time, the redevelopment and enhancement of urban spaces was carried out, integrating LTZs with semi-pedestrian or reduced mobility areas, thus preserving the cultural heritage of the historic centre.

The project involves the integration of electronic gates positioned in order to control the outflows from the different parts of the central area of Rome.

The installation of the exit gates will allow the offices of Roma Capitale to monitor both the entrances and exits and the relative time of stay thanks to the timely analysis of data and information and therefore, the correct and complete knowledge of the use of a delicate territory such as the historic centre

This approach aims to learn about the use of a complex territory such as the historic centre and to optimize the management of the LTZ, with particular attention to:

• policies on permits and authorization for entry and circulation within the area;
• verification of entries by authorised category and length of stay within the area;
• the interception of mere crossing movements;
• the control of the behaviours of the different authorized categories, such as the use of the permits of clerks, the disabled, the temporary, etc.

Thanks to the use of advanced technologies and the use of Data Analytics evolved towards Artificial Intelligence, it will be possible to acquire in-depth knowledge of the phenomena related to the different types of permits (number of entries and times). This asset will be made available to Decision Makers, to support the review of access rules.