Trajectory data analysis and visualization method and system based on online car-hailing travel

A trajectory data and data analysis technology, applied in database indexing, visual data mining, data processing applications, etc., can solve the problems of small-scale data processing speed improvement effect is not obvious, difficult to get started, difficult to implement, etc., to achieve functional development The effect of difficulty, easy operation, and high hardware cost

Inactive Publication Date: 2020-01-21
CHONGQING GEOMATICS & REMOTE SENSING CENT
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  • Trajectory data analysis and visualization method and system based on online car-hailing travel
  • Trajectory data analysis and visualization method and system based on online car-hailing travel
  • Trajectory data analysis and visualization method and system based on online car-hailing travel

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Embodiment Construction

[0054] The specific embodiment and working principle of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0055] like figure 1 As shown, a trajectory data analysis and visualization method based on online car-hailing travel, the specific steps are as follows:

[0056] Enter step 1: perform data preprocessing on the original online car-hailing track data;

[0057] This embodiment takes the online car-hailing track data from March to May 2018 as an example for illustration. The online car-hailing trajectory data includes order data and trajectory point data, details are shown in Table 1.

[0058] Table 1 Detailed table of online car-hailing track data

[0059]

[0060] It can be seen from Table 1 that the online car-hailing trajectory data has the characteristics of large amount, variety, time-space sequence, poor data quality, and road network correlation. These characteristics determine the impact of trajecto...

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Abstract

The invention discloses a trajectory data analysis and visualization method and system based on online car-hailing travel. The method comprises the following steps: preprocessing original online car-hailing trajectory data; storing the preprocessed online car-hailing trajectory data into an object-relational database in a day division table manner, and constructing a space-time index; carrying outdata mining on the stored online car-hailing trajectory data by adopting a data analysis method to realize OD analysis, vehicle speed analysis and vehicle flow analysis of the online car-hailing trajectory data; and visually displaying the obtained data mining result. The method has the remarkable effects that the data volume, the processing speed and the usability and applicability of the miningtechnology are comprehensively considered, a set of simple, operable and easy-to-master track data mining method under multi-technology integration is constructed, and the method is used for mining small and medium-scale track data.

Description

technical field [0001] The invention relates to the technical field of visualization of vehicle trajectory data, in particular to a method and system for analyzing and visualizing trajectory data based on online car-hailing travel. Background technique [0002] With the rapid development of mobile Internet, LBS positioning, and cloud computing, mobile devices and applications with positioning functions are widely used, and a large amount of trajectory data is generated. Trajectory data can be divided into human trajectory data, animal trajectory data, vehicle trajectory data and natural law trajectory data. In addition to the 3V characteristics of large data volume, real-time and variety, it also has time-space sequence, different frequency sampling, The characteristics of poor data quality, these characteristics have high requirements for software and hardware facilities, methods and techniques used for data mining, which increases the difficulty of data application. Traje...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/2458G06F16/26G06F16/29G06F16/9537G06Q50/30
CPCG06F16/22G06F16/2465G06F16/26G06F16/29G06F16/9537G06Q50/30
Inventor 李静刘贤何小波罗跃金贤锋张海鹏何志明曾攀何宗谭攀陈雪洋钱文进彭婧
Owner CHONGQING GEOMATICS & REMOTE SENSING CENT
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