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

Method for predicting space-time traveling track of blacklisted vehicle

A technology of driving trajectory and prediction method, applied in traffic control systems, instruments, traffic control systems of road vehicles, etc., can solve the problem of not considering personal habits, achieve good real-time performance, improve prediction accuracy, improve accuracy and Effect

Inactive Publication Date: 2013-09-25
INST OF INFORMATION ENG CAS
View PDF5 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods do not take into account the personal habits of the vehicle driver, such as the historical trajectory information of the vehicle

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
  • Method for predicting space-time traveling track of blacklisted vehicle
  • Method for predicting space-time traveling track of blacklisted vehicle
  • Method for predicting space-time traveling track of blacklisted vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0061] The blacklist vehicle trajectory prediction method based on road checkpoint vehicle information data mining includes blacklist vehicle trajectory prediction and travel time prediction.

[0062] 1. Prediction of driving path of blacklisted vehicles

[0063] 1. Obtain the original traffic data through the existing intelligent traffic information system and store it in the database;

[0064] 2. When a blacklisted vehicle such as A5E097 appears at a monitoring checkpoint, record the checkpoint as checkpoint G 0 , look up the historical traffic data of the blacklisted vehicle in the database;

[0065] 3. Sort the historical traffic data of the blacklisted vehicles passing through the road checkpoint in chronological order. The format of the sorted historical traffic data records is shown in Table 1:

[0066] Table 1

[0067] Record number

vehicle license plate

mount name

driving lane

direction of travel

Elapsed time

7716873

Armor ...

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 predicting the space-time traveling track of a blacklisted vehicle. The method comprises the prediction of the traveling route of the blacklisted vehicle and the prediction of the traveling time of the blacklisted vehicle on the predicted traveling route. The prediction of the traveling route is achieved with a traveling route predicting method based on historical route similarity. The prediction of the traveling time of the blacklisted vehicle on the predicted traveling route is achieved with a traveling time predicting method based on road traffic condition evaluation. The method for predicting the space-time traveling track of the blacklisted vehicle is high in efficiency. According to the method for predicting the space-time traveling track of a blacklisted vehicle, the traveling route of the blacklisted vehicle can be predicted in real time after the blacklisted vehicle appears, the next position where the blacklisted vehicle might appear and the time when the blacklisted vehicle appears at the position can be determined, video surveillance and control can be conducted on the corresponding position in advance according to the predicted traveling route and the predicted traveling time of the blacklisted vehicle, and decision aids are provided for the arrest of the blacklisted vehicle.

Description

technical field [0001] The invention relates to a method for predicting vehicle trajectories, in particular to a method for predicting spatio-temporal driving trajectories of blacklisted vehicles. Background technique [0002] With the rapid development of the information technology industry, advanced positioning, detection, monitoring and communication technologies are widely used in the transportation field. At present, a large number of vehicle capture cameras are deployed at road checkpoints in various cities and on highways between cities, which will generate a large amount of road traffic information and vehicle traffic information, and record the driving trajectories of all vehicles; in addition, smart phones, tablet computers Hand-held mobile terminals or vehicle-mounted driving recording devices with positioning functions collect GPS positions in real time and record the driving trajectory of each collected vehicle. Analyzing vehicle trajectory information and appl...

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): G08G1/00G08G1/017
Inventor 孙玉砚于重重吴子珺李志孙利民
Owner INST OF INFORMATION ENG CAS
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