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

A Method of Intersection Arrival Rate Estimation Based on Sampling Trajectory Data

A trajectory data and intersection technology, applied in the field of urban traffic information, can solve problems such as traffic demand and application scenario sensitivity, and achieve a wide range of applications, strong generality, and good scalability.

Active Publication Date: 2021-09-03
TONGJI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Similarly, the estimation accuracy of the existing flow estimation methods using trajectory data has a greater correlation with the vehicle arrival distribution assumptions adopted, and is more sensitive to traffic demand and application scenarios

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 Method of Intersection Arrival Rate Estimation Based on Sampling Trajectory Data
  • A Method of Intersection Arrival Rate Estimation Based on Sampling Trajectory Data
  • A Method of Intersection Arrival Rate Estimation Based on Sampling Trajectory Data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] Such as Figure 4 As shown, the present invention provides a method for estimating the arrival rate of intersections based on sampled trajectory data, by using sampled vehicle trajectory data to obtain the arrival flow of each cycle, including the following steps:

[0059] 1) Obtain sampled vehicle trajectory data, and calculate the arrival rate between queuing trajectories and preprocess it into an arrival rate matrix:

[0060] Such as figure 1 As shown, the position information of the sampled trajectory data passing through the intersection entrance is preprocessed into the relative distance from the stop line, and the speed of each trajectory point is used to judge whether the vehicle is stopped at this point, so as to obtain the The key point for queuing vehicles to join the queue. For the interval between two adjacent queuing trajectories in each period, the arrival rate of the interval can be calculated as follows:

[0061]

[0062] Among them, j is the cycl...

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 relates to a method for estimating the arrival rate of an intersection based on sampled trajectory data, comprising the following steps: 1) obtaining sampled vehicle trajectory data, and preprocessing the arrival rate between queuing trajectories into an initial arrival rate matrix; 2) according to the initial Arrival rate matrix, filling the empty values ​​in the initial arrival rate matrix through the singular value threshold algorithm to obtain the filled arrival rate matrix; 3) Correcting and repairing the filled arrival rate matrix to obtain the final arrival rate matrix. The arrival rate vector of each period is accumulated and multiplied by the length of the unit time interval to obtain the flow rate of each period. Compared with the prior art, the present invention has the advantages of strong generality, good expansibility, wide applicability and the like.

Description

technical field [0001] The invention relates to the field of urban traffic information, in particular to a method for estimating the arrival rate of intersections based on sampling trajectory data. Background technique [0002] At urban signal-controlled intersections, the traffic flow in each signal cycle plays an important role in traffic state estimation and signal control optimization. The existing traffic detection mainly obtains flow data through fixed detectors represented by coils to determine the actual arrival time. With the development and popularization of vehicle positioning and Internet of Vehicles technology, real-time trajectory data is gradually applied to urban traffic management. Taking Shanghai as an example, currently the city has established a floating car system based on 50,000 taxis and 20,000 buses, with a daily data transmission frequency of 10-30 seconds; The massive database of 10,000 registered users processes up to 70TB of GPS trajectory data e...

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): G08G1/01G08G1/065G08G1/081
CPCG08G1/0104G08G1/0129G08G1/065G08G1/081
Inventor 唐克双姚佳蓉谈超鹏孙剑
Owner TONGJI 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

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