- Estimating the Travel Time and the Most Likely Path ...🔍
- Urban link travel time estimation using large|scale taxi data with ...🔍
- Tensor Decomposition for Spatial—Temporal Traffic Flow Prediction ...🔍
- Computing with Spatial Trajectories🔍
- 4 Personalized Travel Time Prediction Using a Small Number of ...🔍
- [Retracted] Travel Time Estimation by Learning Driving Habits and ...🔍
- estimating travel time distributions on large|scale road networks🔍
- Complete trajectory reconstruction from sparse mobile phone data🔍
Travel time estimation of a path using sparse trajectories
Estimating the Travel Time and the Most Likely Path ... - AMS Journals
We also provide an estimate of the travel time associated with this path ... The estimation of the transition matrix, using the discretization of trajectories in ...
(2009) proposed a statistical approach for path and travel time inference using. GPS probe vehicle trajectory data. The GPS data used in their study has been ...
Tensor Decomposition for Spatial—Temporal Traffic Flow Prediction ...
Travel time estimation of a path using sparse trajectories; Proceedings of the 20th ACM SIGKDD International Conference on Knowledge ...
DeepIST: Deep Image-based Spatio-Temporal Network for Travel ...
Travel time estimation of a path using sparse trajectories. In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining ...
Computing with Spatial Trajectories - JD Technology
Travel Time Estimation of a Path using Sparse Trajectories. Yilun Wang, Yu Zheng, Yexiang Xue, in Proceedings of the 20th SIGKDD conference on Knowledge ...
As more GPS probe data has been collected to monitor urban traffic, GPS trajectories of the probe vehicles have been frequently used to predict path travel time ...
[Retracted] Travel Time Estimation by Learning Driving Habits and ...
Travel time estimation based on the origin-destination (OD) [21] path using a multitask learning framework aims to produce a meaningful ...
DEEPTRAVEL: A neural network based travel time estimation model ...
DeepTTE [Wang et al., 2018] adopts deep learning method to predict travel time of a trajectory with in- termediate GPS points. When the input is a path without ...
estimating travel time distributions on large-scale road networks
We use an efficient path-matching and path-inference algorithm developed in [8]. Inference. Model. INFERENCE. ` Raw GPS. Trajectories.
Complete trajectory reconstruction from sparse mobile phone data
A very common practice in mobile phone data analyses, time discretization reduces the temporal resolution of the data so as to make trajectories ...
Path and travel time inference from GPS probe vehicle data
We consider the problem of estimating real-time traffic conditions from sparse, noisy GPS probe vehicle data. We specifically address arterial roads, which ...
Estimation of Travel Time Distributions Along User-Defined Travel ...
Normally, link-level distributions can be efficiently extracted from all the trajectories, as each trajectory contributes to the sample of link travel times.
Travel Time Estimation in Stockholm Using Historical GPS Data
For a trip starting at time t with the estimated path p the estimated travel time ... Travel time estimation of a path using sparse trajectories. In Proceedings ...
Path Cost Distribution Estimation Using Trajectory Data
With the growing volumes of vehicle trajectory data, it becomes increasingly possible to capture time-varying and uncertain travel costs in a road network, ...
Travel Time Estimation in the Age of Big Data | Operations Research
We develop a method that tractably exploits origin–destination data, which, because of its optimization framework, could also take advantage of ...
Computing with Spatial Trajectories: Publications - Microsoft Research
2014 · PRESS: A Novel Framework of Trajectory Compression in Road Networks · Travel Time Estimation of a Path using Sparse Trajectories · Online ...
Path Travel Time Estimation using Attribute-related Hybrid ...
We apply this to a novel problem of estimating path travel time of a type of vehicles using a hybrid trajectory dataset that includes trajectories from other ...
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI ... Learning from Highly Sparse Spatio-temporal Data · Textual Training for ...
Available CRAN Packages By Name
Accelerated Failure Time Model with Generalized Estimating Equations. afthd ... Animation of Multiple Trajectories with Uncertainty. aniSNA, Statistical ...
Effective Travel Time Estimation: When Historical Trajectories over ...
At the prediction phase, we only use the OD input, get the hidden representation of the OD input, and use it to generate the travel time. Extensive experiments ...