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A Method of od Assignment Based on Dominant Travel Distance

A distribution method and travel mode technology, which is applied in data processing applications, predictions, calculations, etc., can solve problems such as occupancy, large memory, and long traffic allocation calculation time, and achieve the effect of saving time and improving allocation efficiency

Active Publication Date: 2021-03-19
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problems in the existing four-stage demand forecasting method, such as long traffic allocation calculation time and a large amount of memory, the present invention proposes an OD allocation method based on the dominant travel distance by analyzing the travel rules of residents in the area to be studied. Considering the travel habits of the residents in the proposed study area as a criterion, the survey data is used to determine the share rate function of each travel mode in the study area under the advantage travel distance, and it is directly used for traffic allocation, which greatly shortens the allocation time and improves the transportation efficiency. Computational efficiency

Method used

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  • A Method of od Assignment Based on Dominant Travel Distance
  • A Method of od Assignment Based on Dominant Travel Distance
  • A Method of od Assignment Based on Dominant Travel Distance

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Embodiment Construction

[0032] see figure 1 An OD allocation method based on the advantage travel distance is shown, including the following steps:

[0033] (A) Carry out a travel survey of residents in the proposed study area to obtain relevant information on residents’ travel. The travel survey of residents includes the information required for the traditional travel survey of residents, the travel distance of residents each time and the travel methods they use. The travel mode It refers to the travel mode that residents in the proposed study area may use, which is closely related to the traffic development level of the proposed study area.

[0034] (B) According to the survey results of residents’ travel, fit the advantageous travel distance sharing rate function of various travel modes: specifically include:

[0035] (B1) Classify the surveyed residents' travel distances based on the residents' travel mode;

[0036] (B2) Determine the unit distance, group the travel distances under the same tra...

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Abstract

The invention discloses a dominant travel distance-based OD allocation method. The method includes the following steps: carrying out a resident travel survey in a planned research area to acquire relevant information of resident travel; respectively fitting a dominant-travel-distance sharing rate function of each type of possible travel mode according to a resident travel survey result; correctingthe dominant-travel-distance sharing rate function of each type of travel mode to obtain a dominant-travel-distance function of each mode in the planned research area; assigning travel volume in an OD matrix onto corresponding road segments according to the dominant-travel-distance sharing rate function of each mode; and carrying out classification overlapping on allocated road segment OD to obtain road network travel volume of each travel mode.

Description

technical field [0001] The invention relates to an OD distribution method based on a dominant travel distance, and belongs to the technical field of traffic distribution. Background technique [0002] The traditional four-stage forecasting method plays a pivotal role in the existing traffic planning. Traffic allocation is the last stage of the four-stage method. Its direct function is to allocate the forecasted demand to the road network according to the mode, and provide the basis for the design of traffic. Planning and decision-making traffic management schemes provide basic data support. [0003] However, the distribution process of the traditional traffic allocation method is cumbersome and requires a large amount of computing time and memory. It is difficult to meet the needs of the era of rapid response and rapid decision-making in today's intelligent transportation systems. It has gradually become a technical bottleneck in the construction of intelligent transportatio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/047
Inventor 王炜吴忠君
Owner SOUTHEAST UNIV
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