Bus route prediction method and system based on face recognition

Abstract

The invention provides a bus route prediction method and system based on face recognition, and the method comprises the steps: obtaining passengers getting on and off a bus from an obtained video stream through face recognition, and determining the getting-on and getting-off stations of the passengers; the method comprises the following steps: determining whether a passenger getting on a bus getsoff other passengers or not through face recognition, and if so, determining a transfer station of the passenger; associating the get-on station, the get-off station and the transfer station of the passenger to obtain a riding route of the passenger; and predicting the demand of the bus route based on the obtained bus routes of all passengers. According to the method, face snapshot and recognitionmatching are carried out on passengers getting on and off the bus based on the face recognition technology, the complete bus taking route of citizens is predicted, the complete bus taking route information is utilized, urban bus route planning is scientifically and reasonably carried out, and the running efficiency of urban buses is higher.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular to a bus route prediction method and system based on face recognition. Background technique [0002] Urban traffic is increasingly congested. Buses are the most important means of public transport. The bus route planned by the city is directly related to the operating efficiency of the bus. times of multiplication, etc. [0003] In order to scientifically and rationally plan urban bus routes, it is necessary to grasp the travel rules of citizens and count the public's bus demand in different time periods to achieve more accurate planning forecasts. [0004] At present, in bus operation, the main data that can be collected are: on-board GPS information: can be used to track vehicle trajectory, arrival time, driving speed, and route congestion; card swiping records: can be used to estimate the number of people boarding at each station. [0005] From the ex...

AI Technical Summary

Problems solved by technology

[0005] From the existing data collected, it is possible to predict the number of boarders of each vehicle on each bus route at each station at each time point, but it is impossible to know the information of people getting off at each station, and it is also impossible to estimate the end point of citizens’ travel. Complete, so it is impossible to scientifically and rationally plan urban bus routes based on existing data

[0006] It can be seen that in the prior art, it is difficult to formulate a more accurate bus dispatching plan due to the inability to identify the information of the passengers getting off the bus, let alone the transfer information of the passengers

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