Routine public transit network optimization and adjustment method based on cellphone signaling data

A mobile phone signaling, bus line network technology, applied in data processing applications, forecasting, instruments, etc., can solve the problems of not considering the functional level of bus lines, a large number of manpower, and poor timeliness, so as to improve the level of bus services, alleviate the Effects of traffic congestion and improved public transport accessibility

Inactive Publication Date: 2017-03-15
上海萃图数字科技有限公司
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Problems solved by technology

The basis of this bus network optimization method is the optimization of a single bus line, which has a good practical guiding effect, but the functional level of the bus line is not considered in the process of line optimization design
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  • Routine public transit network optimization and adjustment method based on cellphone signaling data
  • Routine public transit network optimization and adjustment method based on cellphone signaling data
  • Routine public transit network optimization and adjustment method based on cellphone signaling data

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Embodiment Construction

[0038] The present invention will be described in detail below with reference to the accompanying drawings.

[0039] Such as Figure 1 to Figure 3 As shown, a conventional bus line network optimization and adjustment method based on cell phone signaling data includes a cell phone signaling data processing step, a regional traffic travel feature extraction step, and a bus line network dynamic optimization and adjustment step;

[0040] (1) The processing steps of mobile phone signaling data are:

[0041] 1) Characteristic analysis of mobile phone signaling data:

[0042] A user carrying a mobile phone will generate location update information when moving within a mobile communication network composed of base stations, which will be recorded by the mobile service center and stored in the database. By analyzing the signaling data provided by the mobile company, the present invention learns that the recorded data fields include user mobile phone identification number, mobile phone number, ...

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Abstract

The invention discloses a routine public transit network optimization and adjustment method based on cellphone signaling data, and the method comprises the following steps: cellphone signaling data processing, region traffic feature extraction, and public transit network dynamic optimization. The method takes the existing theoretical research as the basis, combines with practical experience and research results in a public transit network optimization project, organically combines a qualitative analysis method and a quantitative analysis method, enables a line optimization method to accord with the actual condition of public transit network optimization in a better manner, is higher in operability, and provides optimization decision support for a bus company and related administrative departments in the public transportation planning and management. The method achieves the purposes that the number of straight passengers of the public transit network is the largest, the construction cost of a bus system is the lowest, and the number of transfer times of passengers is the smallest. The method can improve the bus service level, improves the bus reachability, and effectively alleviates the traffic congestion.

Description

Technical field [0001] The invention belongs to the technical field of application of mobile phone signaling data, and specifically relates to a conventional bus line network optimization and adjustment method based on mobile phone signaling data. Background technique [0002] The bus network design has undergone a major turning point after the method of "wiring one by one and optimizing the network". Later generations have used this method as the basis for research and improvement. This classic method is still in use today, and the present invention also uses this method for optimization design. The preliminary research on the optimization of public transportation network mainly used the shortest passenger travel time and the lowest bus operating cost as the optimization objectives to establish an optimization model. Later scholars took into account the comfort of passengers and added the minimum number of transfers and maximum direct passenger flow. optimize. In terms of bus p...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26
Inventor 杨大演
Owner 上海萃图数字科技有限公司
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