Traffic mode selection analysis method based on incomplete population information

Abstract

The invention discloses a traffic mode selection analysis method based on incomplete population information. Joint distribution of population attribute characteristics is established through a Bayesian network model; aiming at the problems that population survey data is partially incomplete and missing exists, posteriori distribution of other missing attributes is inferred through partial population attribute data in traffic mode selection modeling, so that a traffic selection model established under the condition of incomplete population data can obtain a good interpretation result. Accordingto the method, when the population attribute data is insufficient or missing, the Bayesian network is used for carrying out joint modeling on the plurality of population attribute features to obtainthe probability distribution of missing data, so that the traffic mode selection model obtains better estimation and interpretation results.

Description

technical field [0001] The invention relates to the field of traffic mode selection analysis, in particular to a traffic mode selection analysis method based on incomplete population information. Background technique [0002] The development of urban traffic and land use microscopic simulation models using Agent-Based Model (ABM) has greatly promoted urban construction and development. But these microsimulation models require a full agent list with detailed demographic and socioeconomic information at the individual and household levels. However, using such a detailed and disaggregated dataset is highly sensitive, and most government agencies do not publish the full data, but instead draw a subset of the total population at a rate of 1% to 10% for use in urban models Establish. Therefore, it is necessary to capture the association relationship between population attribute data and provide more complete data for selection model modeling. Contents of the invention [0003...

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Problems solved by technology

[0003] In order to solve the above existing problems, the present invention provides a traffic mode selection analysis method based on incomplete population information, and establishes the joint distribution of population attribute characteristics through the Bayesian network model. In traffic mode choice modeling, the posterior distribution of other missing attributes is deduced from partial population attribute data, so that the traffic choice model established in the case of incomplete population data can obtain good interpretation results

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