Double-layer traffic network model-based anti-congestion method

A traffic network and bus network technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as the difficulty of studying urban traffic multi-mode situations, urban traffic network congestion obstacles, etc.

Active Publication Date: 2018-10-12
FUDAN UNIV
View PDF11 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, due to the complexity of urban traffic network structure and the diversity of urban traffic travel modes, Ding Qianxing, Yan Ling, Yan Min. The Research of the Key Issues of Innovation Based on BT Transaction Mode in Urban Rail. Intelligent Transportation, Big Data and Smart City (ICITBS). 2016: 914-917, the influence of many factors such

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
  • Double-layer traffic network model-based anti-congestion method
  • Double-layer traffic network model-based anti-congestion method
  • Double-layer traffic network model-based anti-congestion method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0136] Example

[0137] The present invention considers that the upper-layer network is a low-speed network, that is, the running speed is slower and dense; the lower-layer network is a high-speed network, and the running speed is faster and sparse. Taking into account the actual situation, passengers will choose the shortest route during travel, and will try to avoid transfers as little as possible. Transfer refers to the jump between the corresponding nodes of the upper and lower layers of the network. Therefore, assume that the number of passengers transfers Not more than 2 (ie n≤2). Generally speaking, in real life, there are more bus stations than subway stations, that is, N A ≥N B , The random coupling method is used to realize the coupling of the upper and lower layers of the network: for each node in the network B, a node is randomly selected from the network A, if there is no edge between the two points, connect them. Repeat this process until all nodes in the lower net...

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 double-layer traffic network model-based anti-congestion method. The method can describe a coupling dynamic characteristic of a real traffic network comprehensively, and canrelieve urban traffic congestion to a large extent. Based on a double-layer network framework and a UE flow mathematical model, the method builds a model for traffic network congestion and demonstrates traffic network congestion. On the one hand, the traffic network congestion degree is reflected through congestion coefficients; and on the other hand, the traffic network efficiency is reflected through an average cost function. Empirical data simulation proves that speed ratio of the upper and lower networks of the double-layer traffic network is closely rated to coupling coefficients. Under actual speed ratio, the congestion coefficient of the method is reduced by 14.28% compared with average congestion coefficient of the prior art, so that the anti-congestion performance of the traffic network is improved effectively.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, and is a method for alleviating passenger travel congestion in a traffic network. It establishes a flow distribution model and a traffic congestion evaluation model for the traffic network through the idea of ​​a double-layer network. On the one hand, it reveals a double-layer traffic network under different topological structures. It provides theoretical guidance for optimizing the design of urban road networks; on the other hand, it contributes to the improvement of actual traffic efficiency. Background technique [0002] Transportation has become an indispensable part of people's daily life. On the one hand, the emergence of transportation has accelerated social and economic development; posed certain difficulties. In recent years, due to the complexity of urban traffic network structure and the diversity of urban traffic travel modes, Ding Qianxing, Yan Ling, Yan Min. The ...

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): G06Q10/04G06Q50/30
CPCG06Q10/047G06Q50/30
Inventor 韩定定白玉余艳泽
Owner FUDAN UNIV
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