Road network traffic operation analysis method based on Spark

An analysis method and a technology of traffic operation status, applied in the field of intelligent transportation, can solve the problems of lack of scientificity and reliability, and less real-time information feedback of the road network, and achieve the effects of overcoming timeliness problems, reducing computing time, and improving efficiency

Inactive Publication Date: 2019-06-18
CHANGAN UNIV
View PDF8 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At this stage, most of the research is mainly focused on the road network operation analysis based on the historical data of the expressway network, and the real-time information feedback

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
  • Road network traffic operation analysis method based on Spark
  • Road network traffic operation analysis method based on Spark
  • Road network traffic operation analysis method based on Spark

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] In order to make the object, technical solution and advantages of the present invention more clear, the present invention 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 invention, not to limit the present invention.

[0055] Analysis method provided by the invention comprises the following steps:

[0056] 1) First, use 5 PCs to build a Spark big data machine learning platform including a master node and four slave nodes. The master node serves as the control node of the big data machine learning platform, and the slave node serves as the working node of the big data machine learning platform. Each node communicates with each other through Gigabit Ethernet in a local area network.

[0057] The Linux (ubuntu 12.04) operating system is installed on all nodes, and the software required in the process of building...

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 road network traffic operation analysis method based on Spark, is based on real-time traffic flow data and constructs a road network traffic operation situation discrimination model in combination with the k-means and random forest algorithm. Distributed file system storage and an elastic distributed data set are selected to process traffic data in parallel, and real-time discrimination of the road network traffic operation status is realized. The method is advantaged in that a Spark big data machine learning platform is utilized, in combination with the distributedk-means algorithm for cluster analysis, a timeliness problem of the traditional k-means algorithm in the case of big data is improved, discrimination of the road network traffic operation status is realized, the analysis result can provide real-time and reliable road network operation status analysis services for highway management departments, moreover, the theoretical basis is provided for establishing an intelligent highway control platform.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a Spark-based road network traffic operation analysis method established by applying big data analysis and mining technology. Background technique [0002] With the in-depth development of intelligent transportation system (Intelligent Transportation System, ITS) research, the scale and complexity of road traffic data are growing explosively, showing the "6V" characteristics of big data. However, in the field of expressways, the storage and processing of traffic data still adopts the traditional serialization method. Due to the huge amount of data and complex data structure, the calculation completion time cannot be applied to actual scenarios. Therefore, using parallel and distributed data processing technology to improve the level of traffic information processing has become the mainstream of current traffic big data platform research. It is an urgent industry demand ...

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): G08G1/01G06K9/62
Inventor 钱超杨孟朱熹许宏科刘冬伟
Owner CHANGAN UNIV
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