Method and system for identifying transportation mode based on mobile phone signaling

A traffic travel and mobile phone signaling technology, applied in the field of intelligent transportation, can solve the problems of high data collection costs and low data accuracy, and achieve the effect of less data volume, less model parameters, and simple and efficient model training

Active Publication Date: 2021-03-23
江苏欣网视讯软件技术有限公司
View PDF12 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional methods of urban traffic travel are mostly based on the living conditions of residents, the status of surrounding traffic facilities, and sampling surveys using certain traffic models. The data collection costs are high and the data accuracy is low.

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 and system for identifying transportation mode based on mobile phone signaling
  • Method and system for identifying transportation mode based on mobile phone signaling
  • Method and system for identifying transportation mode based on mobile phone signaling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to better understand the technical content of the present invention, specific embodiments are given together with the attached drawings for description as follows.

[0045] Aspects of the invention are described in this disclosure with reference to the accompanying drawings, which show a number of illustrated embodiments. Embodiments of the present disclosure are not necessarily intended to include all aspects of the invention. It should be appreciated that the various concepts and embodiments described above, as well as those described in more detail below, can be implemented in any of numerous ways, since the concepts and embodiments disclosed herein are not limited to any implementation. In addition, some aspects of the present disclosure may be used alone or in any suitable combination with other aspects of the present disclosure.

[0046] to combine Figure 1-8 as well as Figure 9 As shown in the flow process, the exemplary embodiment of the present i...

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 and system for identifying a transportation mode based on mobile phone signaling. The method and the system are realized based on mobile phone signaling data reported by a user. In the implementation process, firstly, an identifying model is trained based on sample data reported by the user, after a special travel mode is eliminated, model training based on an SVM binary classifier is carried out, multi-dimensional characteristics of age, gender, speed, instantaneous speed, average speed and moving distance are adopted for training, and the identifying degree and accuracy of the model are improved; then, on the basis of a prediction model, a mode of fusing special travel and an SVM model is adopted, feature extraction is carried out on the basis of actuallyreported signaling data, and a travel mode is identified; and finally, on the basis of a time sequence, OD chains of different travel modes are combined to form a complete traffic mode travel track segment.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, especially the application of mobile phone signaling data in intelligent traffic identification, and specifically relates to a method, device, system and computer-readable storage medium for identifying traffic travel modes based on mobile phone signaling. Background technique [0002] Identifying the mode of transportation that users travel plays a key role in understanding user mobility, analysis and prediction of traffic conditions, and mining of social activity patterns. The analysis results of the city's comprehensive travel mode can be used in the planning of traffic schemes to solve the congestion problem, and can also be used to make statistics on the travel modes of residents in tourist areas, so as to design more efficient traffic service plans, which has high social significance. [0003] The traditional methods of urban traffic travel are mostly based on the...

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): G08G1/01H04W4/20
CPCG08G1/0104H04W4/20
Inventor 李永军赵海燕马荣叶王幸戴培杨旭
Owner 江苏欣网视讯软件技术有限公司
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