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

A Flow Estimation Method for Urban Intersection Based on Floating Vehicle Data

A technology of floating car data and intersections, applied in traffic flow detection, data processing applications, neural learning methods, etc., to achieve the effect of accurate flow data and simple calculation

Active Publication Date: 2022-03-15
NORTH CHINA UNIVERSITY OF TECHNOLOGY
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, there are inherent deficiencies and shortcomings in the traditional traffic flow acquisition method

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 Flow Estimation Method for Urban Intersection Based on Floating Vehicle Data
  • A Flow Estimation Method for Urban Intersection Based on Floating Vehicle Data
  • A Flow Estimation Method for Urban Intersection Based on Floating Vehicle Data

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0064]Floating car data collection: Use the in-vehicle device or taxi software installed on taxis and online car-hailing to collect the motion status information of the floating car in real time, including the id of the vehicle, the latitude and longitude of the vehicle, the speed of the vehicle point, the time stamp of the vehicle operation, etc. The data is transmitted to the central server through the wireless network, and the sampling and transmission frequencies of the data are high frequency and intermediate frequency (sampling and transmission interval <5s / time is called high frequency, 5s / time<sampling and transmission interval<15s / time is called high frequency high frequency), the floating car data type includes vehicle ID, time, status (heavy vehicle | task vehicle | empty vehicle |), longitude and latitude / head direction / vehicle speed, associated road segment number, intersection number, parallel road information, etc.

[0065] Map road network information extraction...

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 provides a method for estimating flow at urban intersections based on floating car data. The method first uses Webster's delay theorem to quantitatively describe the relationship between the phase flow at urban intersections and the delay of vehicles being blocked. Delay is used as the input data to calculate the phase flow; secondly, considering the accuracy of the flow data calculated above is not high, the RBF neural network approximation algorithm is used to correct the data, and the comprehensive performance indicators of the approximation parameters are measured by the floating car. Delay and travel time obtained as items. Through this method, the phase flow data with high accuracy can be obtained by using the floating car data, which can provide support for the signal control and optimization of urban intersections, thereby effectively improving the control efficiency of urban road intersections and achieving the purpose of alleviating congestion.

Description

technical field [0001] The invention belongs to the technical field of urban intelligent transportation, and in particular relates to an urban intersection flow estimation technology using floating data with a low proportion to provide data support for intersection signal control and optimization. Background technique [0002] Obtaining the flow data of each phase of the urban intersection is the premise of traffic signal control. There are two traditional methods for obtaining flow data: one is measured by a fixed detector deployed behind the stop line at the controlled intersection, which has The representative ones are the British SCOOT traffic control system and the Australian SCATS traffic control system; the other is measured by manual or manual hand-held devices. At present, the traffic management departments of some cities in my country are still optimizing the timing of controlled intersection signals. This method is often used. The urban traffic flow driven by trave...

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): G06Q10/04G06Q50/26G06N3/08G08G1/01G08G1/065
CPCG06N3/08G06Q10/04G06Q50/26G08G1/0104G08G1/065
Inventor 张立立王力张海波何忠贺
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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