Next Article in Journal / Special Issue
Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition
Previous Article in Journal
An MVC-based Intelligent Document Model Using UIML
Previous Article in Special Issue
Modeling of Experimental Adsorption Isotherm Data
Article

Analysis and Visualization for Hot Spot Based Route Recommendation Using Short-Dated Taxi GPS Traces

by 1,2, 1,2,† and 1,2,*,†
1
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
2
Key Laboratory of Visual Media Intelligent Process Technology of Zhejiang Province, Hangzhou 310023, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Min Yao
Information 2015, 6(2), 134-151; https://doi.org/10.3390/info6020134
Received: 10 December 2014 / Revised: 13 April 2015 / Accepted: 14 April 2015 / Published: 21 April 2015
(This article belongs to the Special Issue Intelligent Data Analysis)
Taxi GPS traces, which contain a great deal of valuable information as regards to human mobility and city traffic, can be extracted to improve the quality of our lives. Since the method of visualized analysis is believed to be an effective way to present information vividly, we develop our analysis and visualization method based on a city’s short-dated taxi GPS traces, which can provide recommendation to help cruising taxi drivers to find potential passengers with optimal routes. With our approach, hot spots for loading and unloading passenger(s) are extracted using an improved DBSCAN algorithm after data preprocessing including cleaning and filtering. Then, this paper describes the start-end point-based similar trajectory method to get coarse-level trajectories clusters, together with the density-based ε distance trajectory clustering algorithm to identify recommended potential routes. A weighted tree is defined including such factors as driving time, velocity, distance and endpoint attractiveness for optimal route evaluation from vacant to occupied hot spots. An example is presented to show the effectiveness of our visualization method. View Full-Text
Keywords: taxi GPS traces; hot spots; trajectory cluster; recommended route taxi GPS traces; hot spots; trajectory cluster; recommended route
Show Figures

Figure 1

MDPI and ACS Style

Shen, Y.; Zhao, L.; Fan, J. Analysis and Visualization for Hot Spot Based Route Recommendation Using Short-Dated Taxi GPS Traces. Information 2015, 6, 134-151. https://doi.org/10.3390/info6020134

AMA Style

Shen Y, Zhao L, Fan J. Analysis and Visualization for Hot Spot Based Route Recommendation Using Short-Dated Taxi GPS Traces. Information. 2015; 6(2):134-151. https://doi.org/10.3390/info6020134

Chicago/Turabian Style

Shen, Ying, Ligang Zhao, and Jing Fan. 2015. "Analysis and Visualization for Hot Spot Based Route Recommendation Using Short-Dated Taxi GPS Traces" Information 6, no. 2: 134-151. https://doi.org/10.3390/info6020134

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop