Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Bicycle lane service level evaluation method based on hybrid Gaussian model

A hybrid Gaussian model and non-motorized lane technology, which is applied in complex mathematical operations, instruments, data processing applications, etc., can solve problems that have a large impact, do not take into account riders' feelings, fluctuations, etc.

Inactive Publication Date: 2018-11-09
ZHEJIANG UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since non-motorized vehicles do not have a shell to isolate the rider from the external environment, the cycling environment has a greater impact on non-motorized vehicle riders
At present, there are few studies on the service level of non-motorized vehicles at home and abroad, and most studies use the experience of riders as the evaluation of service level, but the established model adopts a hard boundary and does not take into account the fluctuation of riders' experience

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
  • Bicycle lane service level evaluation method based on hybrid Gaussian model
  • Bicycle lane service level evaluation method based on hybrid Gaussian model
  • Bicycle lane service level evaluation method based on hybrid Gaussian model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] Below in conjunction with accompanying drawing, the present invention is described in detail, as figure 1 Shown, concrete steps of the present invention are as follows:

[0072] Step (1) Collect non-motor vehicle traffic flow parameters of the road section including

[0073] c11. Investigate the basic information of non-motorized lanes to obtain the width and isolation form of non-motorized lanes;

[0074] c12. Statistical section traffic flow information

[0075] Among them, because there is no fixed lane for non-motor vehicles, the traffic flow is a statistical value under the unit width. Statize the traffic flow and the speed of each non-motorized vehicle within a certain period of time, obtain the flow q per unit width and the average speed data v of non-motorized vehicles within this period of time, and obtain the density information k through the relationship q=kv of the three parameters of traffic flow; The overtaking rate is calculated by the following formul...

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 bicycle lane service level evaluation method based on hybrid Gaussian model. The method is suitable for the bicycle lane with physical isolation and belongs to the technicalfield of the transportation planning. The bicycle lane service level is the index for measuring the riding service provided for the rider by the bicycle lane. Compared with the motorcycle, the bicyclerider can directly feel the external environment, so that the feeling of the rider is the important basis for the service level ranking. Since the feeling of the people has large fluctuation, the soft classification method is more fit with the actual condition. The basic thought of the method is to judge the probability of service level corresponding to one traffic stream operation state by establishing the hybrid Gaussian model, thereby establishing the service level evaluation system. By adopting the soft classification feature of the hybrid Gaussian model, the evaluation result is closer to the feeling of the rider, and the theoretic support is provided for the planning, construction and management of the bicycle lane with physical isolation.

Description

technical field [0001] The invention is an evaluation method for the service level of non-motorized vehicles with physical isolation, adopts a mixed Gaussian model, considers the fluctuation of cyclists' feelings, and establishes a soft classification model. This evaluation method can serve the current situation evaluation, planning, design and management of non-motor vehicle lanes, and belongs to the field of traffic planning. Background technique [0002] With the continuous development of social economy, the living standard of residents has been greatly improved, and the number of car ownership has increased rapidly. As a result, traffic congestion and environmental pollution in the city have also been exacerbated. Currently, non-motor vehicle traffic is developing rapidly in some domestic cities. From public bicycles, electric bicycles to shared bicycles, the development forms of non-motorized vehicles have been continuously innovated, and they are also occupying an in...

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): G06F17/18G06Q10/06
CPCG06F17/18G06Q10/06393
Inventor 金盛徐亮周禹佳常伟王殿海
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products