AI-Driven Urban Transport Systems

Urban transportation systems are essential to city functionality, yet they are often plagued by challenges such as traffic congestion, pollution, inefficient route planning, and infrastructure maintenance.Artificial Intelligence (AI) offers transformative potential in addressing these issues by optimizing traffic flow, predicting demand, reducing emissions, and enhancing service quality.This paper examines the design, implementation, and advantages of AIpowered urban transport management systems, emphasizing their capacity to integrate diverse transport modes, optimize resources, and improve overall city mobility and sustainability.