A Traffic Flow Mode Fitting Method Based on Quantum Random Walk

A random walk, traffic flow technology, applied in traffic flow detection, traffic control system of road vehicles, traffic control system, etc., can solve the failure of classical random walk, cannot satisfy the assumption of independence and randomness of classical random walk And other issues

Active Publication Date: 2021-12-07
NANJING NORMAL UNIVERSITY
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the actual traffic flow cannot satisfy the independence and randomness assumptions of the classic random walk in most cases, which makes the classic random walk invalid in traffic flow simulation

Method used

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  • A Traffic Flow Mode Fitting Method Based on Quantum Random Walk
  • A Traffic Flow Mode Fitting Method Based on Quantum Random Walk
  • A Traffic Flow Mode Fitting Method Based on Quantum Random Walk

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Embodiment Construction

[0031] Such as figure 1 As shown, a traffic flow mode fitting method based on quantum random walk, including the following steps:

[0032] (1) Build a modal generator based on quantum random walk;

[0033] (2) Multimodal preparation;

[0034] (3) Modal screening;

[0035] (4) Construct a mapping mechanism between modes and traffic flow.

[0036] The present invention mainly comprises the theoretical hypothesis of following two aspects: (1) modal assumption: assume that the trajectories formed by drivers with the same / similar driving patterns are aggregated to form a traffic flow pattern, which limits the differences between driver heterogeneity and pattern Relationship. (2) Model assumptions: Assuming that the traffic flow satisfies the independence assumption and the randomness assumption (the actual traffic flow basically meets this assumption), it is determined that all possible traffic flow modes are generated by using quantum random walk instead of classical random wa...

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Abstract

The invention discloses a traffic flow modal fitting method based on quantum random walk, which comprises the following steps: (1) constructing a modal generator based on quantum random walk; (2) multimodal preparation; (3) modeling (4) Construct a mapping mechanism between modalities and traffic flow. The present invention thinks that the high-speed traffic flow is a complex geographical space-time process formed by the overlapping coupling of multiple traffic flow modes with different structures, and attempts to realize the modeling and simulation of traffic flow from the perspective of multi-scale analysis; Under the basic framework, use quantum random walk to generate all possible traffic flow modes in high-speed traffic flow; and under the constraints of actual traffic flow time series, realize the mode screening based on specific screening rules, and explore the traffic flow mode The transformation and coupling mechanism between state and traffic flow realizes the modeling and simulation of high-speed traffic flow.

Description

technical field [0001] The invention relates to the technical fields of urban planning and traffic geography, in particular to a traffic flow mode fitting method based on quantum random walk. Background technique [0002] Traffic flow is an important indicator for many traffic applications and is usually collected by sensors located at (highway) entrance / exit stations. Traffic flow provides key information in identifying the degree of road congestion, traffic diversion, and post-processing of traffic accidents, and plays an indispensable role in traffic management, flow forecasting, and regulation. However, the traffic flow system is an open system, and different drivers have different driving patterns. The heterogeneity of drivers increases the complexity of traffic flow, which brings great challenges to traffic flow modeling and simulation. [0003] The current traffic flow modeling models can be roughly classified into two categories: deterministic models and stochastic ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06F30/27
CPCG08G1/0125G06F30/27G08G1/0129G06F30/13G06F30/18G06F30/15G06F30/20G06F2111/10
Inventor 王增杰俞肇元滕玉浩周鑫鑫袁林旺
Owner NANJING NORMAL UNIVERSITY
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