Year: 2025
Type: article
Abstract: 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 AI◻powered urban transport management systems, emphasizing their capacity to integrate diverse transport modes, optimize resources, and improve overall city mobility and sustainability.
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410248714