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A Network Traffic Flow Prediction Method Considering Traveler's Route Choice Inertia

A forecasting method and a technology for path selection, applied in forecasting, data processing applications, instruments, etc., which can solve the problems of difficult implementation, time-consuming and labor-intensive investigation

Active Publication Date: 2021-07-06
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a large-scale urban road network, a path often contains dozens of road sections, and it is very time-consuming and laborious for travelers to mark these paths one by one during the survey process. Such surveys are difficult to implement in practice

Method used

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  • A Network Traffic Flow Prediction Method Considering Traveler's Route Choice Inertia
  • A Network Traffic Flow Prediction Method Considering Traveler's Route Choice Inertia
  • A Network Traffic Flow Prediction Method Considering Traveler's Route Choice Inertia

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Embodiment Construction

[0088] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0089] (1) Model construction

[0090] Let G(N,A) represent a road network, where N represents a set of nodes and A represents a set of road segments. Let W denote the set of all OD pairs in the road network, R w Denotes the set of all paths between OD pair w∈W. For each link a ∈ A, two attributes are considered: link travel time t a and the segment length l a . Suppose the travel time of the road segment t a is the flow rate of the road segment v a The continuous single-increasing function of , and the length of the road segment l a is a fixed value that is related to v a irrelevant.

[0091] order c rw and p rw Denotes a path r ∈ R w The travel time and path length of :

[0092]

[0093]

[0094] where δ arw is the indicator variable, if the road segment a is on the path r connecting the OD pair w, δ arw = 1; otherwise δ arw...

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Abstract

The invention discloses a network traffic flow forecasting method considering traveler route selection inertia. The method includes: organizing a traffic survey, determining the degree of inertia and demand of different types of travelers between each OD pair; generating an initial set of alternative routes; solving the restricted master problem; updating the travel time of the road segment; generating a new route; testing Whether the convergence condition is satisfied; the iteration is stopped, and the predicted value of the network equilibrium traffic flow is obtained under the influence of traveler inertia. The method of the invention solves the problem that travel inertia is difficult to measure in actual traffic surveys, and can provide more accurate and reasonable predictions for urban traffic flow distribution.

Description

technical field [0001] The invention relates to a network traffic flow forecasting method considering traveler route selection inertia, and belongs to the technical field of traffic flow distribution forecasting. Background technique [0002] Traditional traffic planning is based on the "four-stage" method, including four steps: traffic generation and attraction, traffic distribution, mode division, and traffic allocation. Among them, traffic distribution is the last link of the four-stage method, and it is also its core technology. The existing traffic allocation technology is based on the user equilibrium model. The model assumes that travelers will choose the path with the shortest travel time from the origin to the destination. In equilibrium, the travel time of all travelers is equal, and no traveler can change his travel time by unilaterally changing the route. [0003] The traditional user equilibrium model assumes that travelers are completely rational, and when t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/40
Inventor 周博见李佳欣何杰刘子洋邢璐
Owner SOUTHEAST UNIV
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