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

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...

AI Technical Summary

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

Moreover, the traditional bus line adjustment and optimization method in the prior art requires a large amount of manpower for OD investigation and data collection, and the sample size of the investigation is limited and the timeliness is not strong.

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