Urban bus network optimization method

A technology of urban public transport and optimization methods, applied in the field of transportation, can solve problems such as unclear logic, complex structure, and generation of targeted solutions, and achieve the effect of increasing living costs and improving site coverage

Active Publication Date: 2021-02-09
浙江非线数联科技股份有限公司
View PDF12 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the above-mentioned public transportation optimization schemes are not mature, and some of them cannot comprehensively solve the overall defects of the public transportation system. At the same time, there are many problems such as complex structure, unclear logic, and inability to generate targeted schemes for different cities. To deal with such problems, the idea is to propose comprehensive, end-to-end, and systematic bus optimization solutions in three stages: bus station distribution, bus route planning, and departure density adjustment. The structure is clear and logical, and the operation efficiency of the bus system is comprehensively improved. Optimize the passenger ride experience, and at the same time, the coupling between the schemes is weak. Each city can adjust the module input according to its own needs, select the module and finally generate its own characteristic scheme

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
  • Urban bus network optimization method
  • Urban bus network optimization method
  • Urban bus network optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Combine below Figure 1-4 The present invention will be further described with specific embodiments.

[0022] A method for optimizing an urban bus line network, comprising the following steps:

[0023] 1) Determine the area to be optimized, and obtain various data related to the optimization of the bus network in the area to be optimized;

[0024] 2) Bus station optimization: analyze the various data collected in step 1), and based on the maximum coverage set model evolution algorithm, combined with a variety of input combinations to optimize the existing station or regenerate the station plan, in order to realize the realization of the demand point Coverage within a certain distance:

[0025] Among them, refer to the attached figure 2 The schematic diagram of the maximum coverage set model described in , the maximum coverage set model is used to achieve a certain radius and a certain number of facilities (stations in this example) to derive the pair of covered poin...

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 an urban bus network optimization method, which provides a bus optimization solution comprehensively, end-to-end and systematically from the three stages of bus station distribution, bus route planning and departure density adjustment, is clear in structure and clear in logic, comprehensively improves the operation efficiency of a bus system, optimizes the riding experienceof passengers, Meanwhile, the coupling between the schemes is weak, each city can adjust module input and select module according to own needs to finally generate own characteristic schemes, and theoptimization method can solve the problems of uneven station distribution, repeated station construction, low system coverage rate, high line repetition rate, unreasonable line setting, and fixed departure time of an existing public transportation system .

Description

technical field [0001] The invention belongs to the technical field of transportation, and in particular relates to an optimization method for urban public transport network. The above optimization method can solve the problem of uneven distribution of stations, repeated construction of stations, low system coverage and high line repetition rate in the existing public transportation system. The line setting is unreasonable, and the departure time cannot be changed dynamically. Background technique [0002] Urban public transportation is an important part of urban infrastructure, which is directly related to the overall function of the city and is closely related to people's production and life. Urban public transportation network is a passenger transportation network composed of fixed lines and parking stations laid out by urban public transportation on urban streets. , the reasonable arrangement of urban bus network and frequency is an important factor to determine the comp...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G06Q10/04G06Q50/30
CPCG06Q10/047G06Q50/30G06F30/18
Inventor 张聪贾立锋宋玉杰
Owner 浙江非线数联科技股份有限公司
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