Method of judging travel chain traffic mode based on GPS positioning and fuzzy theory

Abstract

The invention provides a method of judging a mode of transportation of a train chain based on a GPS (Global Positioning System) positioning and fuzzy theory. The method comprises the steps of carrying out GPS positioning to a traveler, and collecting personal attribute data; preprocessing the collected GPS data, and dividing a travelling section to a behavior of the traveler; carrying out fuzzy identification on the travelling section, and judging the travelling way of the traveling section; and finally, judging a travelling way which is judged to the travelling of a motor vehicle again, and judging whether the travelling way is either a car travelling way or a bus travelling way. According to the method provided by the invention, a smart mobile phone, a GPS positioning technology and other technologies can be combined to be convenient and comprehensive to obtain the travelling data of the traveler and the personal attribute data, dividing the travelling of the traveler practically, and analyzing and processing the aforesaid information based on the fuzzy theory, the personal attribute data of the traveler and the like; furthermore, compared with the prior art, the mode of transportation of a resident can be more accurately obtained, and the effectively data references can be provided to traffic rules, traffic demand forecasting and the like.

Description

technical field [0001] The invention belongs to the technical field of resident travel investigation, and relates to a method for judging travel mode, in particular a method for judging travel chain traffic mode based on GPS positioning technology. Background technique [0002] Resident travel survey is the basis and premise of traffic planning and traffic demand forecasting. However, the traditional home-visit survey method in residents' travel survey has limitations such as high cost, high difficulty, low amount of information, and heavy survey load. [0003] Although there are also researches and explorations on the identification of travel modes in the existing technologies, the basic travel data of travelers based on such technologies are not comprehensive and accurate, and the consideration of traveler’s personal attributes and travel chain characteristics is not comprehensive enough. The obtained results are bound to have large errors and cannot accurately reflect th...

AI Technical Summary

Problems solved by technology

However, the traditional home visit survey method in the resident travel survey has limitations such as high cost, great difficulty, low amount of information, and heavy survey load.

[0003] Although there are researches and explorations on travel mode identification in existing technologies, the basic travel data of travelers based on such technologies are not comprehensive and accurate enough, and the consideration of traveler's personal attribute characteristics and travel chain characteristics is not comprehensive enough, so its The results obtained must have large errors and cannot accurately reflect the real situation.

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