In this paper, we address the problem of travel time prediction of bus journeys which consist
of bus riding times (may involve multiple bus services) and also the waiting times at transfer …

Travel time prediction of a given trajectory plays an indispensable role in intelligent
transportation systems. Although many prior researches have struggled for accurate …

Estimating the time of arrival is a crucial task in intelligent transportation systems. Although
considerable efforts have been made to solve this problem, most of them decompose a …

Dynamic traffic prediction is an important section of the urban intelligent transportation
system. Although there have been many studies in this area, it is still a challenge for the …

Estimated time of arrival (ETA) is one of the most important services in intelligent
transportation systems (ITS). Precise ETA ensures proper travel scheduling of passengers …

Travel Time Estimation (TTE) is indispensable in intelligent transportation system (ITS). It is
significant to achieve the fine-grained Trajectory-based Travel Time Estimation (TTTE) for …

Predicting the next destination is a key in human mobility behavior modeling, which is
significant in various fields, such as epidemic control, urban planning, traffic management …

Travel time estimation (TTE) is a critical component of intelligent transportation systems. To
achieve efficient and accurate trajectory-based travel time estimation, it is essential to design …

This paper introduces a new transformer-based model for the problem of travel time
estimation. The key feature of the proposed GCT-TTE architecture is the utilization of …

A need to understand and predict vehicles' behavior underlies both public and private goals
in the transportation domain, including urban planning and management, ride-sharing …