R-language processing method for novel traffic distribution and traffic flow allocation combination model

A combined model and traffic flow technology, applied in the field of traffic engineering, can solve problems such as high price, inconsistency, and difficulty in use

Inactive Publication Date: 2018-11-23
SOUTHEAST UNIV
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Problems solved by technology

[0033] Technical issues: At this stage, transportation planning software is basically foreign products, which are expensive and difficult to use, especially the four-stage travel demand forecasting model widely used in transportation planning has inconsistencies

Method used

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  • R-language processing method for novel traffic distribution and traffic flow allocation combination model
  • R-language processing method for novel traffic distribution and traffic flow allocation combination model
  • R-language processing method for novel traffic distribution and traffic flow allocation combination model

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Embodiment Construction

[0265] Below in conjunction with accompanying drawing of description, the present invention will be further described:

[0266] Step 1: Build a travel distribution model considering traveler preferences

[0267] The polynomial logit model is the simplest and most popular discrete choice model for destination selection. It is based on random utility theory, assuming that a representative traveler living in region r will obtain random utility from alternative destinations s The utility consists of:

[0268] u rs =V rs +ε rs

[0269] in, represents the utility that can be observed, Indicates utility that cannot be observed. The traveler is faced with some attribute of the candidate, which is defined as therefore, Can be expressed as:

[0270] V rs = β s +β 1 x rs1 +β 2 x rs2 +…+β k x rsk

[0271] in, is a candidate-specific constant that represents the average utility of all factors not included in the model, also known as consumer preference. k is the...

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Abstract

The invention provides a novel traffic distribution and traffic allocation combination model considering traveler destination preferences. According to the model, a solving algorithm is provided, andan R-language is used for processing. In order to fully reflect the decision of a traveler in travel distribution, the traveler destination preferences playing an important role in destination selection are considered; and according to a given traffic demand and traffic network information, a stable system balance solution can be quickly obtained through software, wherein the balance solution is more approximate to a real travel decision behavior compared with a traditional method. Main steps include that (1) a travel distribution model considering the traveler preferences is established; (2)a travel allocation model under user balance is established; (3) a simplified four-stage model with feedback is established; (4) an iterative weighting method (MSA) with a constant weight is adopted to perform model solving; (5) an R-language program is designed to realize a solving method; and (6) a specific execution mode is described in combination with a Nguyen-Dupuis network frequently used in traffic network analysis.

Description

Technical field: [0001] The present invention proposes a new combined model of traffic distribution and traffic allocation considering traveler's destination preference, and provides an R language processing method, which can obtain a stable system equilibrium solution for the input traffic demand and traffic network information, which belongs to field of traffic engineering technology. 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 t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/047G06Q50/30
Inventor 林宏志褚晨予
Owner SOUTHEAST UNIV
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