Bus passenger flow survey method based on mobile telephone signal recognition and bus passenger flow survey device based on mobile telephone signal recognition

Abstract

The invention relates to a bus passenger flow survey method based on mobile telephone signal recognition. According to the method, after survey is started, a GPS (Global Positioning System) positioning module acquires bus positioning information according to a preset acquisition frequency and transmits the bus positioning information to a microprocessor; when a bus arrives at a mobile telephone signal acquisition region, a mobile telephone signal acquisition module acquires data and transmits the data to the microprocessor; the microprocessor processes the data so as to obtain a bus station get-on passenger mobile telephone IMSI (International Mobile Subscriber Identity) library, a bus station get-off passenger mobile telephone IMSI library, a before-arrival vehicle-mounted passenger mobile telephone IMSI library and an after-departure vehicle-mounted passenger mobile telephone IMSI library, encrypts and sends the processing results to a storage device, and the storage device stores the processing results; a data output module acquires to-be-transmitted encrypted data from the storage device and transmits the to-be-transmitted encrypted data to a terminal server. The invention also discloses a bus passenger flow survey device based on mobile telephone signal recognition. According to the method and the device, survey data can be accurately, efficiently and comprehensively obtained, the cost is relatively low, and the method and the device can be widely applied to planning and operation management of urban transit networks and provide basic data support for intelligent bus scheduling.

Description

technical field [0001] The invention relates to the technical field of urban public transport road network planning and operation management, in particular to a method and device for investigating public transport passenger flow based on mobile phone signal recognition. Background technique [0002] At present, bus passenger flow survey methods include manual survey methods and automated survey methods. Automated survey methods mainly include survey methods based on bus IC cards, survey methods based on image processing, pressure plate survey methods, and infrared survey methods. Among them, the manual survey method has a low degree of automation, huge workload, huge cost and low efficiency, and it is difficult to realize the survey of dynamic data of large-scale public transport networks; although the use of public transport IC cards to conduct public transport passenger flow surveys is low in cost and simple in operation, but Passengers who do not use IC cards cannot be co...

AI Technical Summary

Problems solved by technology

Among them, the manual survey method has a low degree of automation, huge workload, huge cost and low efficiency, and it is difficult to realize the survey of dynamic data of large-scale public transport networks; although the use of public transport IC cards to conduct public transport passenger flow surveys is low in cost and simple in operation, but Passengers who do not use IC cards cannot be counted, the survey accuracy is low, and passenger flow information at each station cannot be obtained; the technical accuracy of bus passenger flow survey based on image processing largely depends on the design level of image analysis software and the amount of data processing Large, not suitable for large-scale bus passenger flow surveys; automatic passenger counting methods including pressure plate automatic passenger counting and infrared automatic passenger counting have high maintenance costs and high operating environment requirements. When the passenger flow is large, the survey accuracy is difficult to guarantee

It can be seen that none of the above survey methods can investigate and statistic residents’ public transport travel behavior, and cannot track the OD traffic volume when passengers transfer more. The so-called OD traffic volume refers to the traffic volume between the origin and the destination. “O” comes from the English ORIGIN , pointing out the starting point of the trip, "D" comes from the English DESTINATION, pointing out the destination of the trip

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