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
CN112614336BActive Publication Date: 2021-12-07NANJING NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING NORMAL UNIVERSITY
Publication Date
2021-12-07

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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.
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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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