AFC data-based public transport passenger flow OD real-time estimation method

Abstract

The invention discloses an AFC data-based public transport passenger flow OD real-time estimation method. The method utilizes card swiping data of a public transport AFC system, performs sorting to obtain bus station passenger flow, on this basis excavates a mapping relation between public transport passenger flow OD and the bus station passenger flow, and builds a public transport passenger flow OD real-time estimation model based on Kalman filtering, thereby realizing real-time estimation of the public transport passenger flow OD. The AFC data-based public transport passenger flow OD real-time estimation method provided by the invention performs deep excavation on passenger flow data of the public transport AFC system, and obtains an optimal estimation value of a public transport passenger flow distribution probability through the Kalman filtering model, thereby realizing real-time estimation of the public transport passenger flow OD, which is of great importance to accurately describing the public transport passenger flow demand distribution law and realizing real-time optimization of bus route operation dispatching.

Description

technical field [0001] The invention relates to the field of bus operation management of intelligent transportation, in particular to a real-time OD estimation algorithm of bus passenger flow based on AFC data. Background technique [0002] As an effective characterization of bus passenger flow demand and dynamic characteristics, real-time OD of bus passenger flow is the key basis for real-time optimization of bus line operation scheduling. Therefore, real-time estimation of bus passenger flow OD and accurate description of the distribution law of bus passenger flow demand are of great significance to realize real-time optimization of bus line operation scheduling. [0003] The existing methods for OD estimation of bus passenger flow can be mainly divided into estimation methods based on balance theory and estimation methods based on passenger travel behavior characteristics. The former method mostly starts from the bus line network level, and needs to consider the travel r...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the current lack of real-time OD estimation methods for bus passenger flow, as well as the difficulty in obtaining bus passenger flow data samples and the poor real-time performance of bus passenger flow estimation, the present invention proposes a real-time estimation method for bus passenger flow OD based on AFC data

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