Bus stop position obtaining method and device

Abstract

The embodiments of the invention provide a bus stop position obtaining method and device. The method comprises the following steps that: feature extraction is performed on the state parameters of theridge line segment of a target bus line and vehicle state data in the ridge line segment, so that the feature data of the ridge line segment can be obtained; and the feature data are inputted into a preset machine learning network model, and whether bus stops exist on the ridge line segment of the target bus line is determined according to the output result of the machine learning network model, wherein the machine learning network model is obtained by training ridge line segment samples with known bus station result labels, the ridge line segment is obtained by dividing the target bus line according to a preset distance, and vehicles in the vehicle state data comprise buses and / or private vehicles. The method can be implemented by selecting feature data conforming to the field of perfectional knowledge on the basis of the positioning data of bus driving and relatively few road network data; the expenditure of machine learning algorithm training is effectively reduced; the performanceof the model is reliable; and the engineering implementation of the method is easy and convenient.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular to a method and device for acquiring the location of a bus station. Background technique [0002] With the acceleration of urbanization in our country, the problem of urban traffic congestion has been aggravated. The development of public transportation is of great significance to the development of the city's transportation system. At present, the number of daily bus trips nationwide has reached 250 million. Under this background, real-time bus products for the public have emerged. Such data-driven products require data maintenance staff to maintain and update the basic data of the large-scale bus network in multiple cities, so as to provide users with reliable real-time bus information. [0003] Because the bus service department will adjust and set up bus midway stations according to municipal construction, passenger flow demand, urban planning and ot...

AI Technical Summary

Problems solved by technology

[0003] Because the bus service department will adjust and set up bus midway stations according to reasons such as municipal construction, passenger flow demand, and urban planning, this situation will cause data maintenance personnel to receive a large number of user feedback every day

Faced with this situation, data maintenance personnel need to screen and check the stations of a large number of lines every day, and then deduce the location of possible bus stops. This kind of work method is inefficient and expensive

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