Enhancing Sustainable Urban Mobility Services with Generative Artificial Intelligence: Applications, Opportunities and Challenges

Source abstract

The digitalization of cities through advanced technologies is contributing to sustainable urban mobility services for citizens and serving mobility service providers and transport authorities. One such technology is Generative Artificial Intelligence (GenAI), which can produce new content based on available training data. This article examines the innovative deployment of GenAI models to address public transport challenges in cities, focusing on people-centricity. A qualitative literature review was employed to provide an in-depth exploration of real-world applications of GenAI. The findings identify socio-technical challenges of integrating GenAI into existing public transport solutions and propose strategies to improve its application in cities.