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High-speed traffic flow distribution analog quantum computing method considering destination selection

A flow distribution and quantum computing technology, which is applied in the field of high-speed traffic distribution simulation quantum computing to achieve the effect of improving accuracy and efficiency

Active Publication Date: 2020-05-08
NANJING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, there is no such related technique for integrating such uncertainties in traffic simulation models

Method used

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  • High-speed traffic flow distribution analog quantum computing method considering destination selection
  • High-speed traffic flow distribution analog quantum computing method considering destination selection
  • High-speed traffic flow distribution analog quantum computing method considering destination selection

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Embodiment Construction

[0030] Such as figure 1 As shown, a high-speed traffic flow distribution simulation quantum computing method considering destination selection includes the following steps:

[0031] Step 1. Construction of expressway entrance and exit network structure. According to the high-speed road network data that needs to be simulated, the connection relationship between the road network and the station is extracted, and a complex network graph G=(V, E) with no right, no direction and no loop is established, where V represents the vertex set of G, and E represents G set of edges. Then the adjacency matrix A of the network graph uv Can be expressed as:

[0032]

[0033] And calculate the adjacency matrix of the network graph and its eigenvalues, eigenvectors and eigenprojections.

[0034] Step 2, using complex numbers to represent this superposition state. A quantum model is used to make each vehicle in a superposition state that exits from each exit simultaneously, and this supe...

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Abstract

The invention discloses a high-speed traffic flow distribution analog quantum computing method considering destination selection. The method comprises the following steps: (1) constructing a highway gateway network structure; (2) representing a vehicle flow direction and flow superposition state by utilizing a plurality of numbers; (3) constructing a model and setting parameters; (4) simulating quantum random walk; (5) performing model verification and space-time matching; and (6) fitting and comparing the quantum random walk with real flow data. Quasi-periodic vibration and irregular characteristics in highway traffic flow can be simulated, traffic observation data are closely integrated, deep characteristics of traffic behaviors are revealed from a new perspective, and the accuracy and efficiency of highway flow simulation are improved.

Description

technical field [0001] The invention relates to the technical field of computer graphics, in particular to a high-speed traffic flow distribution simulation quantum calculation method considering destination selection. Background technique [0002] Intercity expressways can effectively connect different cities and promote economic exchanges. Traffic flow is characterized by uneven velocity distribution, high traffic density, and nonlinear complexity such as coherence between vehicles. In highway traffic flow, small changes in individual driving behavior can be rapidly transmitted through vehicles and have large-scale effects on traffic flow. The combined influence of a large number of individual driving behaviors makes the overall traffic flow exhibit obvious inhomogeneity and nonlinearity in time and space. Stochastic simulation models offer the potential to relate macroscopic traffic flow states to the uncertainty of individual driver decisions. However, constrained by ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N10/00G06F30/20G06Q50/30
CPCG06N10/00G06Q50/40G06F30/20G06F2111/08G06N10/60Y02T10/40
Inventor 俞肇元周鑫鑫高鸿周春烨胡旭
Owner NANJING NORMAL UNIVERSITY
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