Journal
CHINESE JOURNAL OF ELECTRONICS
Volume 27, Issue 5, Pages 942-950Publisher
TECHNOLOGY EXCHANGE LIMITED HONG KONG
DOI: 10.1049/cje.2017.12.008
Keywords
GPS trajectories; Visual analysis; Traffic dynamics; Spatio-temporal aggregation
Categories
Funding
- National Natural Science Foundation of China [61602409]
- Zhejiang Provincial NSFC [LR14F020002]
- Ministry of Science and Technology of China [SQ2013ZOC200020]
- Open Projects Program of Key Laboratory of Ministry of Public Security based on Zhejiang Police College [2016DSJSYS003]
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Traffic jam has become a severe urban problem to most metropolises in the world. How to understand and resolve these traffic problems has become a global issue. In the new era of big data, visualization and analysis with traffic-related data are increasingly appreciated. This paper presents Diffusionlnsighter, a web-based visual traffic analysis system, that allows users to explore the traffic flow and diffusion patterns with different spatial and temporal granularity. The Diffusionlnsighter first applies a visual data cleaning and filtering component to remove dirty data and remain available ones for further analysis. A set of carefully designed interaction and visualization tools including geographical view, pixel map view, chord diagram and network diffusion view is proposed in the Diffusionlnsighter to support level-of-detail exploration of diffusion patterns of the traffic flow. Different views are collaborated together and are integrated into geographic map. A series of real-life case studies are conducted using a large GPS trajectory dataset of taxis in Hangzhou.
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