Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Traffic forecasting plays a critical role in intelligent transportation systems (ITS) in smart
cities. Travelers as well as urban managers rely on reliable traffic information to make their …

Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled
autonomous vehicles to share sensing information to see through occlusions, greatly …

In recent years, advances in deep learning have had a significant impact in the
transportation domain, notably through the use of generative adversarial networks (GAN). As …

Co-optimization of vehicle velocity planning and powertrain control for plug-in hybrid electric
vehicle (PHEV) can lead to an optimal energy saving with the help of vehicle-to …

Traffic flow prediction in spatio-temporal networks is a crucial aspect of Intelligent
Transportation Systems (ITS). Existing traffic flow forecasting methods, particularly those …

Abstract Green Light Optimized Speed Advisory (GLOSA) is being rapidly extended
worldwide as an innovative technology for intelligent transportation. However, the energy …

Accurately predicting traffic flow characteristics is crucial for effective urban transportation
management. Emergence of artificial intelligence has led to the surge of deep learning …

Recently, thanks to the introduction of human feedback, Chat Generative Pre-trained
Transformer (ChatGPT) has achieved remarkable success in the language processing field …

Sustained deep emission reduction in road transportation is encountering bottleneck. The
Intelligent Transportation-Speed Guidance System (ITSGS) is anticipated to overcome this …