Travel map-based vehicle destination prediction method, device, equipment and medium

A prediction method and destination technology, applied in the field of vehicle destination prediction, can solve problems such as easy to be ignored, large amount of labeled data, complex and so on

Pending Publication Date: 2021-10-22
杨粤湘 +7
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, relevant research and applications are mostly based on relational databases (such as oracle, SqlServer) using the relationship between data to actively discover the relationship and organize the data. In this way, some hidden and imperceptible relationships are easy to be ignored.
In addition, some scholars and applications organize and analyze data based on machine learning algorithms, but they require a large amount of labeled data and complex feature engineering.

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
  • Travel map-based vehicle destination prediction method, device, equipment and medium
  • Travel map-based vehicle destination prediction method, device, equipment and medium
  • Travel map-based vehicle destination prediction method, device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0053] Aiming at the problems existing in the prior art, the present invention utilizes the widely existing bayonet data (the vehicle is detected when passing the vehicle, and the detection content includes the license plate number, the time of passing the vehicle, and the location of the vehicle passing). Then, the entity relationship of the traffic travel knowledge map is transformed into a Markov logic network, and the bottom-up structural learning method is adopted to mine the temporal and spatial association rules of traffic travel, and then the information that needs ...

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 travel map-based vehicle destination prediction method, a device, equipment and a medium. The method comprises the steps of obtaining a gate; constructing a traffic map according to the checkpoint data; converting an entity relationship in the traffic travel map into a Markov logic network; mining the traffic travel map to obtain a traffic travel time-space association rule; converting the Markov logic network into an instantiated Markov network; and determining a destination prediction result of the individual vehicle according to the traffic travel time-space association rule and the Markov network. The method can improve the accuracy of individual vehicle travel destination speculation, improves the speculation efficiency, and can be widely applied to the technical field of traffic data processing.

Description

technical field [0001] The invention relates to the technical field of traffic data processing, in particular to a vehicle destination prediction method, device, equipment and medium based on a travel map. Background technique [0002] Destination estimation of individual vehicles is one of the core parts of the current intelligent transportation system, which plays an important role in supporting and guiding the management and decision-making of the overall transportation system. Based on the accurate and effective prediction results of individual vehicle travel destinations, through the interaction of traffic decision-making, traffic guidance and the overall urban road network and closely cooperating with the actual conditions of people, vehicles, and roads, the efficiency of transportation can be effectively improved and traffic congestion can be alleviated. Improving the traffic capacity of the road network, the driving speed of the road section and the traffic experienc...

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 Applications(China)
IPC IPC(8): G06F16/29G06F16/28G06K9/62G06Q10/04G06Q50/30
CPCG06F16/29G06F16/288G06Q10/04G06Q50/30G06F18/295
Inventor 杨粤湘汤燕生谢嘉孟刘岚陈泽毅彭伟张文凯叶夏雨
Owner 杨粤湘
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap