Traffic flow modal fitting method based on quantum random walk

A technology of random walk and traffic flow, applied in traffic flow detection, traffic control system of road vehicles, traffic control system, etc. And other issues

Active Publication Date: 2021-04-06
NANJING NORMAL UNIVERSITY
View PDF16 Cites 3 Cited by
  • Summary
  • Abstract
  • 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 cla

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Traffic flow modal fitting method based on quantum random walk
  • Traffic flow modal fitting method based on quantum random walk
  • Traffic flow modal fitting method based on quantum random walk

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a traffic flow modal fitting method based on quantum random walk. The method comprises the following steps: (1) constructing a modal generator based on quantum random walk; (2) multi-modal preparation; (3) modal screening; and (4) constructing a mapping mechanism between the mode and the traffic flow. According to the method, the high-speed traffic flow is considered to be a complex geographic space-time process formed by aliasing and coupling a plurality of traffic flow modes with different structures, and modeling simulation of the traffic flow is attempted to be realized from the perspective of multi-scale analysis; all possible traffic flow modes in high-speed traffic flow are generated by utilizing quantum random walk under a basic framework of an expressway network topological structure; under the constraint of an actual traffic flow time sequence, modal screening is achieved based on a specific screening rule, a conversion coupling mechanism between a traffic flow modal and traffic flow is explored, and modeling simulation of high-speed traffic flow is achieved.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap