Combination model of traffic distribution and traffic flow assignment considering traveler's destination preference

A technique for combining models and travel distribution matrices, applied in the field of traffic engineering
CN108876035BInactive Publication Date: 2021-09-03SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHEAST UNIV
Publication Date
2021-09-03
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention establishes a combination model of traffic distribution and traffic flow allocation considering traveler's destination preference. The widely used four-stage travel demand forecasting model in traffic planning has inconsistency problems, and the gravity model used in existing solutions for traffic distribution has great limitations because it cannot fully reflect the decision-making behavior of travelers. Some key variables that play an important role in destination choice are not included, the most prominent of which is traveler destination preference. Therefore, the present invention establishes a combined model of traffic distribution and traffic flow allocation considering traveler's destination preference. The main steps include: (1) building a travel distribution model considering traveler preferences; (2) building a travel allocation model under user equilibrium; (3) building a simplified four-stage model with feedback; (4) using constant weight iterations The weighted method (MSA) is used to solve the model; (5) The specific implementation is described in combination with the Nguyen‑Dupuis network commonly used in traffic network analysis.
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Description

Technical field:

[0001] The invention establishes a combination model of traffic distribution and traffic flow allocation considering traveler's destination preference, and belongs to the technical field of traffic engineering. Background technique:

[0002] The four-stage model is a commonly used model for forecasting travel demand, and is usually composed in the order of trip generation, trip distribution, traffic mode division, and trip allocation. That is, the output of the previous step is used as the input of the subsequent step. This method of forecasting is clear and understandable, and it is widely used in planning practice. However, the shortcoming of this method is also obvious, that is, the travel time (cost) in trip generation, trip distribution, and trip mode partitioning is not consistent with the travel time (cost) calculated in trip allocation. Therefore, complex feedback relationships must be resolved to obtain an equilibrium level of demand, even if the ...

Claims

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