Urban road travel time estimation and prediction on a citywide scale is a necessary and
important task for recommending optimal travel paths. However, this problem has not yet …

Urban travel time estimation is of significant importance at many levels of traffic operation
and transportation management. This paper develops a tensor-based context-aware …

Urban travel time estimation is a strategically important task for many levels of traffic
management and operation. Although a number of technologies regarding data and model …

In this paper, we propose a citywide and real-time model for estimating the travel time of any
path (represented as a sequence of connected road segments) in real time in a city, based …

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

Travel time estimation of a given path is a crucial task of Intelligent Transportation Systems
(ITS). Accurate travel time estimation can benefit multiple downstream applications such as …

Estimating the travel time of a path is of great importance to smart urban mobility. Existing
approaches are either based on estimating the time cost of each road segment which are …

Travel time estimation is one of the core tasks for the development of intelligent
transportation systems. Most previous works model the road segments or intersections …

Estimating the travel time of urban trajectories is a basic but challenging task in many
intelligent transportation systems, which is the foundation of route planning and traffic …

One crucial task in intelligent transportation systems is estimating the duration of a potential
trip given the origin location, destination location as well as the departure time. Most existing …