Bus customization method based on mobile interconnection

Abstract

The invention discloses a bus customization method based on mobile interconnection. The method comprises the steps of space-time planning of stations and optimization of public transportation lines; space planning is dividing of traffic cells, and a hierarchical clustering method is selected to divide the traffic cells; defining a time window of a station, realizing spatial clustering through spatial programming in the last step, determining a time interval of a clustered center based on information contained in each clustering area for the clustered center, and determining a time period withthe highest frequency selected by a user as riding time of the station through information statistics of the station; and solving and optimizing the customized route through a genetic algorithm to obtain an optimal route. According to the invention, lines can be customized according to real-time requirements of passengers, and a plurality of lines can be switched on at the same time under the condition of multiple requirements.

Description

technical field [0001] The invention belongs to the field of intelligent transportation and intelligent vehicle research, and relates to a method for customizing public transport based on mobile internet. Background technique [0002] With the acceleration of urban industrialization and urbanization and the growth of urban population, the existing public transport travel shows some shortcomings, such as: the mismatch between urban public transport planning and urban development speed, the incompatibility between residents' travel and public transport dispatching, etc. These deficiencies restrict the development of urban public transport scheduling and planning. Therefore, it is necessary to establish a public transport development strategy that is compatible with residents' travel. [0003] So customized buses came into being. For passengers, customized buses can customize their own routes; for bus companies, they can specify the travel needs of passengers and make precise ...

AI Technical Summary

Problems solved by technology

Tu Wenyuan et al. researched and determined the general method of customizing bus network planning, which can be based on the information submitted by passengers online; Liu Wusheng et al. proposed a green customized bus line optimization scheme under the multi-demand response mechanism to meet the needs of the society and passengers. 3 requirements of enterprises and enterprises; Lu Xiaolin et al. established a flexible customized bus system, adding some flexible stations on the basis of traditional bus lines; however, there are still deficiencies in the existing research results: (1) Although the collected Information has changed the characteristics of predicting travel demand based on historical databases, but failed to customize routes according to real-time passenger needs; (2) failed to solve multi-route optimization problems; (3) did not break away from traditional bus stops

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