A spatiotemporal feature acquisition method for parking space-level parking demand for large-scale complexes

A technology of spatiotemporal features and acquisition methods, which is applied in directions such as traffic control systems and instruments of road vehicles indicating various open spaces in parking lots, and can solve problems such as difficulty in dealing with complex spatiotemporal backgrounds and parking environments.

Active Publication Date: 2022-07-22
江苏高速公路联网营运管理有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide a method for acquiring space-time characteristics of parking space-level parking demand for large-scale complexes, so as to solve the problem that traditional parking facility investigation methods are difficult to deal with complex space-time backgrounds and parking environments, and describe parking space-level parking The problem of two-tier OD travel chains of demand and parkers

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
  • A spatiotemporal feature acquisition method for parking space-level parking demand for large-scale complexes
  • A spatiotemporal feature acquisition method for parking space-level parking demand for large-scale complexes
  • A spatiotemporal feature acquisition method for parking space-level parking demand for large-scale complexes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0064] This embodiment uses the method of the present invention, and selects a large-scale complex parking lot in a certain city and a certain district as an example.

[0065] 1. Follow step 1 to investigate the traffic situation inside and outside the complex, and determine the object of investigation. The selected large-scale complex is located in the Baijiahu business district, the commercial center of Jiangning District, Nanjing. It is a large-scale complex integrating business, office, hotel and residence. Its total motor vehicle garage parking equivalent is over 500, with 2 serving entrances and exits of the complex. The east side of the complex is a two-way eight-lane urban trunk road, the south side is a two-way four-lane urban secondary road, the west side is a one-way three-lane urban branch road, and the north side is a two-way four-lane urban branch road. Internal and external traffic conditions meet the selection requirements for large-scale complexes.

[0066] ...

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 complex-oriented parking space-level parking demand spatiotemporal feature acquisition method, comprising: selecting a large-scale complex underground multi-storey parking lot with complex parking requirements according to the target complex and its surrounding internal and external traffic conditions; Determine the survey time based on the characteristics of parking demand; obtain the static data of the parking lot of the complex through pre-investigation; design the parking demand survey plan of the parking space level of the complex according to the physical characteristics of the parking lot; obtain the dynamic data of parking demand of the parking space of the complex based on the patrol camera method; And organize the survey data to calculate the basic indicators of the spatiotemporal characteristics of parking demand at the parking space level. The invention provides support for the refined research on parking space level parking requirements of complexes, and is a new method for acquiring and analyzing the spatiotemporal characteristics of parking space level parking requirements under the background of continuously increasing urban complexes.

Description

technical field [0001] The invention belongs to the parking demand management technology, in particular to a large-scale complex-oriented parking space-level parking demand spatiotemporal feature acquisition method. Background technique [0002] At present, my country's land is being used intensively at a high density, and the number of urban complexes is increasing. The parking demand of large-scale complexes has the problems of large volume, complex characteristics and a sharp increase in the peak driving rate. According to the revised version issued in my country in 2015, the “Code for Design of Garage Buildings”, which was implemented on December 1, stipulates that the construction scale of motor vehicle garages should be divided into extra-large, large, medium and small according to the number of parking equivalents. Motor vehicle garages of different sizes should be The number of vehicle entrances and exits set must also meet the standards. According to the requiremen...

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 Patents(China)
IPC IPC(8): G08G1/14G08G1/065G06F17/15
CPCG08G1/146G08G1/148G08G1/065G06F17/15
Inventor 张楚曹小峰杨中岳郭昊旻杨雨薇陈峻
Owner 江苏高速公路联网营运管理有限公司
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