Generation method of customized bus sharing station based on cluster center correction

Abstract

An embodiment of the present invention provides a method for generating a customized shared bus station based on cluster center correction. The method includes: the determination of the optimal number of stations for customized public transport, the construction of an initial cluster carpool station set, the correction operation of the cluster center, and the judgment of the generation result of the cluster carpool station. The invention can rationally arrange the customized public bus sharing stations based on passenger reservation data, provide corresponding references for site selection of customized public transportation stations at the current stage, and provide method support for the opening and implementation of customized public transportation. The method for generating customized bus sharing stations proposed by the present invention is applicable to the network topology of any real road network, abandons the shortcomings of traditional bus station planning that needs to be adjusted subjectively based on experience, and overcomes the fact that the current research on custom bus station layout is not based on the actual road network The shortcomings of the environment ensure the scientificity, accuracy, rationality and effectiveness of the shared ride site layout.

Description

technical field [0001] The invention relates to the technical field of intelligent public transportation, in particular to a method for generating a customized bus sharing site based on cluster center correction. Background technique [0002] With the acceleration of my country's urbanization process and the limitations of the urban public transport system, customized public transport has gradually entered people's field of vision. So far, many cities in China have opened customized bus lines, such as Beijing, Qingdao, Jinan, etc. Customized buses have become the first choice for some urban residents because of their high-quality service characteristics that are different from traditional buses. However, the development of customized public transport in my country is still in the preliminary exploration stage, and a unified methodology has not yet been formed for the station layout, route design, and vehicle scheduling of customized public transport. Therefore, based on the...

AI Technical Summary

Problems solved by technology

The methods used in current research are mostly based on K-means clustering, hierarchical clustering and other methods. Most of the results use one of the clustering methods to study this problem, without considering the limitations of the single method used. At the same time It also does not match the station layout method with the actual road network. Even if the actual road network is considered, most of them are subjective adjustments based on the actual situation and the location of the station generation, which lacks scientificity and effectiveness

However, the population density in foreign countries is low, and the positioning of demand-responsive public transport is mainly to serve "door-to-door" transportation in low-density areas of traffic travel demand. The demand point is studied as a site, which is not suitable for China's national conditions

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