Name
Abstract | ||
|---|---|---|
The proliferation of modern GPS-enabled devices like smartphones have led to significant research interest in large-scale trajectory exploration, which aims to identify all nearby trajectories of a given input trajectory. Trajectory exploration is useful in many scenarios, for example, in identifying incorrect road network information or in assisting users when traveling in unfamiliar geographical regions as it can reveal the popularity of certain routes/trajectories. In this study, we develop an interactive trajectory exploration system, named TraV. TraV allows users to easily plot and explore trajectories using an interactive Graphical User Interface (GUI) containing a map of the geographical region. TraV applies the Hidden Markov Model to calibrate the user input trajectory and then makes use of the massively parallel execution capabilities of modern hardware to quickly identify nearby trajectories to the input provided by the user. In order to ensure a seamless user experience, TraV adopts a progressive execution model that contrasts to the conventional query-before-process model. Demonstration participants will gain experience with TraV and its ability to calibrate user input and analyze billions of trajectories obtained from Grab drivers in Singapore. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BigMM.2019.000-4 | 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM) |
Keywords | Field | DocType |
interactive exploration system,massive trajectory data,modern GPS-enabled devices,large-scale trajectory exploration,interactive trajectory exploration system,interactive graphical user interface,geographical region,massively parallel execution capabilities,user experience,TraV,Hidden Markov Model,smart phones | User experience design,Massively parallel,Computer science,Server,Popularity,Human–computer interaction,Graphical user interface,Execution model,Hidden Markov model,Trajectory | Conference |
ISBN | Citations | PageRank |
978-1-7281-5528-9 | 0 | 0.34 |
References | Authors | |
5 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jieliang Ang | 1 | 0 | 0.34 |
| Tianyuan Fu | 2 | 0 | 0.34 |
| Johns Paul | 3 | 26 | 5.46 |
| Shuhao Zhang | 4 | 0 | 0.34 |
| Bingsheng He | 5 | 0 | 0.34 |
| Teddy Sison David Wenceslao | 6 | 0 | 0.34 |
| Sien Yi Tan | 7 | 0 | 0.34 |