Travel choice analysis is crucial for understanding individual travel behavior to develop
appropriate transport policies and recommendation systems in Intelligent Transportation …

Traffic prediction is pivotal for rational transportation supply scheduling and allocation.
Existing researches into short-term traffic prediction, however, face challenges in adequately …

In the past decade, Artificial Intelligence (AI) has contributed to the improvement of various
aviation aspects, including flight plan optimization, the development of autonomous systems …

Traffic congestion due to road incidents poses a significant challenge in urban
environments, leading to increased pollution, economic losses, and traffic congestion …

The digitization of traffic sensing infrastructure has significantly accumulated an extensive
traffic data warehouse, which presents unprecedented challenges for transportation …

Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

At the intersection of artificial intelligence and urban development, this paper unveils the
pivotal role of Foundation Models (FMs) in revolutionizing Intelligent Transportation Systems …

In the case of this research paper, the concept of “AI traffic management” can be noted in a
reliable and significant way. Nowadays, the application of AI is getting higher in the case of …