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

Floating car data based private car travel data integration method

A technology for floating car data and private cars, applied in the field of in-vehicle social networking, can solve the problems of poor timeliness and high consumption, and achieve the effect of large amount of data, overcoming implementation difficulties, and solid guarantee.

Inactive Publication Date: 2015-12-02
DALIAN UNIV OF TECH
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The early static OD matrix estimation methods used traffic questionnaires and telephone inquiries. This method has poor timeliness and huge cost

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
  • Floating car data based private car travel data integration method
  • Floating car data based private car travel data integration method
  • Floating car data based private car travel data integration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Example 1: Road network generation method based on urban functional areas

[0055] This example involves a road network generation method based on urban functional areas such as figure 2 , including the following steps:

[0056] (11) According to the image range of Beijing, download the corresponding vector data from the OpenStreetMap server, and the vector data includes road vector data.

[0057] (12) Project the images of Beijing's urban functional areas to the vector data obtained in step (11), the specific process is as follows:

[0058] 1) Use ArcMap to embed the coordinate system of vector data for the image of urban functional areas;

[0059] 2) Project the point coordinates of the four corners of the urban functional area image into the coordinate system of the target vector data, and set the latitude and longitude coordinates for the four corner points;

[0060] 3) Find the point where the image of the urban functional area does not match the vector data, and...

Embodiment 2

[0066] Embodiment 2: Based on the floating car OD data, the generation method of private car OD matrix in different urban functional areas.

[0067] This example involves the generation method of the private car OD matrix between different functions, the process is as follows:

[0068] (21) Store and read the historical data of the floating car, preprocess the taxi GPS information in the GPS data, and obtain the OD data set of the floating car;

[0069] The present embodiment adopts the GPS data of 12000 taxis of 30 days altogether in December, 2012 in Beijing, image 3 Shown is the floating car data OD data processing method, the specific steps are as follows:

[0070] The format of the taxi GPS data set in this example is shown in Table 1 below:

[0071] serial number

name

note

1

vehicle identification

6 characters

2

trigger event

0=empty vehicle, 1=passenger, 2=arm, 3=disarm, 4=other

3

operating status

0=empt...

Embodiment 3

[0096] Example 3: Using private car OD matrices in different functional areas to simulate and generate private car travel data for the entire city

[0097] A method for generating a private car data set based on floating car data, specifically comprising the following steps:

[0098] (31) Using SUMO / od2trips, the private car OD matrix between different functional areas is transformed into different private car journey information.

[0099] (32) Use SUMO / duarouter to convert the journey information obtained in step (31) into the route information of private cars running in the city.

[0100] (33) Based on different path information, use SUMO / sumo to perform simulation.

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 present invention provides a floating car data based private car travel data integration method. The method comprises: projecting image data of a target city based on vector data of the city, and registering image information of the target city; obtaining road network information inside different urban functional areas based on an image of the target city; obtaining taxi OD data according to operating status information in GPS information; dividing the whole city according to the latitude and longitude, and determining latitude and longitude blocks contained in the different urban functional areas; based on taxi OD matrixes between different urban functional areas, obtaining a private car OD matrix by using a growth factor method; and performing simulation according to the private car OD matrix. According to the method provided by the present invention, data of the private car in the target city is simulated and generated by analyzing long-term massive taxi GPS data in combination with unique social attributes of different urban functional areas, which can provide a data base for an on-vehicle social network.

Description

technical field [0001] The invention belongs to the field of vehicle-mounted social networks, and in particular relates to a method for generating an OD matrix for private car travel and a method for generating a private car travel data set. Background technique [0002] With the increasing intelligence of vehicles and roads, more and more cars and roadside infrastructure are equipped with communication equipment, so that vehicles on the road are no longer isolated individuals. As a new carrier of mobile social networks, smart cars provide users with new mobile communication methods, combining social networks and Internet of Vehicles to form a vehicle social network (VSN, vehicular social network). In the in-vehicle social network, the main factors that drive users to gather or form communities are geographic location and interests of community users, as well as mutual collaboration between peers or vehicles that meet. Therefore, the in-vehicle social network has the advant...

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): G06F19/00G08G1/00
Inventor 孔祥杰夏锋高志强惠煌廉莲
Owner DALIAN UNIV OF TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com