Modeling method of characteristics of population space-time dynamic moving based on multisource data fusion

A multi-source data, spatiotemporal dynamic technology, applied in data processing applications, traffic control systems for road vehicles, instruments, etc., can solve the problems of high cost, poor data quality, long cycle, etc. Effect

Inactive Publication Date: 2010-04-14
SHENZHEN INST OF ADVANCED TECH
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AI Technical Summary

Problems solved by technology

[0004] Conventional artificial distribution modeling methods are generally based on censuses and population surveys. The data quality of this survey method is poor, the cost is high, the sampling sample is limited, the cycle is long, and a comprehensive survey is usually carried out at intervals of several years. Unable to grasp the dynamic ch...

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  • Modeling method of characteristics of population space-time dynamic moving based on multisource data fusion
  • Modeling method of characteristics of population space-time dynamic moving based on multisource data fusion

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Embodiment Construction

[0016] figure 1 It shows the flow of a method for modeling population spatiotemporal dynamic travel characteristics based on multi-source data fusion in an embodiment, and the specific process is as follows:

[0017] In step S101, map data, mobile phone positioning data and floating vehicle data are input into the system, and data organization and management are carried out according to requirements.

[0018] In one embodiment, preprocessing should also be performed on mobile phone positioning data and floating vehicle data. In terms of data acquisition, taxi transportation is a useful supplement to public transportation, and is the main means of transportation for non-commuting and non-recurring travel. The population travel data acquisition based on Float Car Data ("FCD") is mainly extracted from the data sent by the vehicle terminal in the taxi monitoring and dispatching system to the dispatching center. The data sent to the center by the vehicle terminal regularly throug...

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Abstract

The invention provides a modeling method of the characteristics of population space-time dynamic moving based on multisource data fusion. The modeling method comprises: A. inputting map data, mobile phone locating data and floating vehicle data into a system and managing data organization according to requirements; B. establishing a spatial analysis model of the characteristics of population moving based on the mobile phone locating data and the floating vehicle data; C. applying the spatial analysis model of the characteristics of the population moving to carry out multisource data fusion of the map data, the mobile phone locating data and the floating vehicle data to obtain integrated information of the characteristics of the population moving; and D. analyzing the characteristics of various population moving according to the integrated information of the characteristics of the population moving and publishing an analyzed result by the geographic information system. The modeling method can acquire data of urban population space-time dynamic distribution and moving characteristics with large data amount, high quality and space-time characteristics, obtain basis of accurate population distribution and population moving characteristics, and provide decision-making supports for urban planning, land use planning, transportation planning and the like.

Description

technical field [0001] The invention relates to a modeling technology of population spatiotemporal dynamic travel characteristics, more specifically, a modeling method for population spatiotemporal dynamic travel characteristics based on multi-source data fusion. Background technique [0002] A city is a complex socio-economic system, and various activities of the population in the urban system are reflected by the dynamic distribution of the population. Through geographic information system (Geographic Information System, referred to as "GIS"), traffic survey, traffic analysis and its social attributes, spatial attributes, spatial behavior, etc. are linked to conduct traffic spatial analysis, explore the relationship between population distribution characteristics and cities, and understand It is of great significance to reveal the laws and provide auxiliary decision-making for urban management, urban planning and traffic planning. [0003] Therefore, how to use high-tech ...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q50/00G08G1/00G08G1/01
Inventor 胡金星陈会娟曹文静
Owner SHENZHEN INST OF ADVANCED TECH
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