Bus passenger flow evolution analysis method based on time-space data fusion

Abstract

The invention discloses a bus passenger flow evolution analysis method based on time-space data fusion. The method comprises the following steps: 1, a historical time-space data preprocessing step; 2, a step of calculating trip get-off probabilities; 3, a bus passenger flow time-space evolution analysis step; and 4, a multi-dimensional passenger flow time-space distribution feature analysis step, i.e., according to an obtained time-space network and flow of corresponding time-space network arc segments, drafting a bus time-space distribution feature graph. The analysis method provided by the invention has the following advantages: 1, the trip get-off probabilities are obtained based on enormous historical time-space data statistics, the precision is quite high, the scheme is simple and practical, the solving efficiency is high, and correlation operation indexes of a whole city bus system can be rapidly solved; and 2, the real-time performance is good. Besides, based on the calculated and stored trip get-off probabilities, station OD is calculated in real time through combination with bus get-on passenger flow, and accordingly, the time-space evolution rule of line passenger flow can be dynamically reflected in real time.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to a method for analyzing the evolution of bus passenger flow based on spatio-temporal data fusion. Background technique [0002] Urban buses and trams are important means of transportation for urban residents. The passenger capacity and full load rate of public transport vehicles are important evaluation indicators to measure the operational efficiency of public transport lines and the travel comfort of passengers. [0003] Due to the influence of many complex factors such as geographical location, industrial layout, population employment, etc., as well as the differences in the bus line itself in terms of operating sections, departure frequencies, fares and vehicle technical conditions, the number of passengers carried on the bus line network varies greatly. The spatial and temporal distributions are significantly different. The passenger capacity ...

AI Technical Summary

Problems solved by technology

[0008] The present invention proposes a method based on spatio-temporal data fusion in order to solve the shortcomings of the existing public bus passenger flow OD analysis method, such as coarse granularity and poor real-time performance, and the inability to accurately deduce the time-space distribution and evolution law of bus passenger flow in real time. The evolution analysis method of bus passenger flow can solve the above problems

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