Processing and Visualization Platform of Taxi Trajectory Based on Spark
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    Abstract:

    Big data technology plays an increasingly important role in analyzing and mining traffic big data. In order to quickly and effectively analyze the operating mode and passenger carrying strategy of taxis, this study designed the effectiveness index model to quantificate and sort the taxis' effectiveness. Taking high-effective taxis as the research object, a data processing and visualization platform is developed based on Spark big data framework. Firstly, high-effective taxis trajectory data are processed to obtain characteristic data for visualization. Then visual analysis is carried out, including high-effective taxis operation characteristics obtained from statistical analysis and interactive chart display, using hexagon grid and DBSCAN algorithm to visualize the hotspot of high-effective taxis carrying passenger points in different time periods, implementing interactive trajectory query based on buffer, and extracting the trajectory-related factor. Finally, the validity and reliability of this platform are verified by GPS trajectory data of Chengdu taxi.

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杨卫宁,邹维宝.基于Spark的出租车轨迹处理与可视化平台.计算机系统应用,2020,29(3):64-72

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History
  • Received:August 07,2019
  • Revised:September 05,2019
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  • Online: March 02,2020
  • Published: March 15,2020
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