OD analysis-based passenger flow distribution prediction method, device and equipment, and storage medium

Abstract

The invention relates to the field of big data, and discloses an OD analysis-based passenger flow distribution prediction method, device and equipment, and a storage medium. The method comprises the following steps: combining travel stations conforming to a preset rule in a target city to obtain a plurality of travel districts; acquiring travel data of citizens in the target city to determine travel starting points and travel end points of the citizens, calculating travel districts to which the citizens belong, and generating travel feature information of the citizens in the target city; inputting the travel feature information into a preset pre-training model for training to obtain a passenger flow distribution prediction model; and inputting the current travel data information of citizens into the passenger flow feature prediction model, and predicting the current passenger flow distribution of the target city for deploying related traffic strategies. The invention also relates to ablockchain technology, and the travel data is stored in a blockchain. According to the invention, OD analysis of small-range areas in a city is achieved so as to predict the passenger flow distribution condition of each small-range area.

Description

technical field [0001] The present invention relates to big data, in particular to a passenger flow distribution prediction method, device, equipment and storage medium based on OD analysis. Background technique [0002] OD (ORIGIN DESTINATION, starting point) survey is the survey of traffic starting and ending points, also known as OD traffic volume survey. OD traffic volume refers to the traffic volume between the origin and destination. The OD survey content of the flow of people mainly includes the distribution of starting and ending points, travel purpose, travel mode, travel time, travel distance, and number of trips, etc., determine the average travel distance and average travel time of passengers in each traffic road, and establish the residents' travel volume Conversion relationship with traffic volume. [0003] The demand for OD analysis is ubiquitous, but they are all based on large-scale OD analysis such as the country, province, and city, or based on OD analysi...

AI Technical Summary

Problems solved by technology

The OD analysis of this type of area can use the existing administrative area division to directly conduct OD analysis of the flow of people. However, for OD phenomena in smaller areas, such as residential areas, housing estates, industrial parks, and parks, there are usually boundaries that are not clear. Difficult to classify problems

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