The relationship between artificial intelligence and urban street design to meet contemporary human needs

The fast expansion of urban construction has given rise to urgent public health problems in the context of the green economy and sustainable urban development, notably environmental pollution and the rising prevalence of chronic illnesses associated with urbanization. The idea of developing "healthy cities" is receiving much attention as a result of these growing urban health problems. In the meantime, urban dwellers' quality of life and health are significantly impacted by the planning and design of urban street space. Urban planners must accommodate resident demands for public events and make adjustments for motor vehicle traffic while adhering to the green economy principle. This study aims to optimize urban street space so that cars and humans can coexist. This study actively investigates the relationship between social background, urban environment, and health, focusing on encouraging the optimization objective of sharing urban streets and the peaceful coexistence of people and automobiles. The study's primary objective is to Conclusion the main axes that define the relationship between artificial intelligence and urban design that meets contemporary human needs. This research aims to conclude a relationship between the use of artificial intelligence in urban street design to meet contemporary human needs through four main axes: (enhancing safety and traffic management - improving accessibility and inclusion - environmental quality - maintenance and infrastructure management). This is done by analyzing models of streets whose problems have been addressed by applying artificial intelligence tools and by relying on the axes imposed by the study and proven to have an effective role. Based on that, we can apply these axes to solve contemporary street problems in our societies.