Visualization Analysis Method of Passenger Hotspot Based on Fast Density Clustering

Authors

Zihe Huang, 1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223001, China; ;
Shangbing Gao, 1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223001, China; ;
Zhigeng Pan, 2. Virtual Reality and Human-Computer Interaction Research Center, Hangzhou Normal University, Hangzhou 311121, China;
Hui Hao, 1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223001, China; ;
Qiyu Liao, 1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223001, China; ;
Fengfeng Zhao, 1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223001, China; ;

Abstract

Abstract: With the development of urbanized transportation, the perceptual computing plays an important role in smart cities. Aiming at the problem that the traditional density clustering algorithm cannot adapt to massive taxi GPS trajectory data and visualization, the BCS-DBSCAN (Big-Data Cluster Center Statistics Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is proposed. The algorithm can segment and parallelize the trajectory data, extract the maximum density cluster, and adapt the result to the visualization model. The experimental results show that compared with other popular methods, this method has significant advantages in extracting clustering speed, accuracy and visualization of urban passenger hotspots from mass data, and provides important decision information for further improving urban planning and traffic efficiency.

Recommended Citation

Huang, Zihe; Gao, Shangbing; Pan, Zhigeng; Hao, Hui; Liao, Qiyu; and Zhao, Fengfeng (2019) "Visualization Analysis Method of Passenger Hotspot Based on Fast Density Clustering," Journal of System Simulation: Vol. 31: Iss. 7, Article 21.
DOI: 10.16182/j.issn1004731x.joss.18-CVR0696
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss7/21

First Page

1429

Revised Date

2018-10-21

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-CVR0696

Last Page

1438

CLC

TP391.9

Recommended Citation

Huang Zihe, Gao Shangbing, Pan Zhigeng, Hui Hao, Liao Qiyu, Zhao Fengfeng. Visualization Analysis Method of Passenger Hotspot Based on Fast Density Clustering[J]. Journal of System Simulation, 2019, 31(7): 1429-1438.

Corresponding Author

Shangbing Gao,

DOI

10.16182/j.issn1004731x.joss.18-CVR0696