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

Bus passing time prediction method based on big data and artificial intelligence

A technology of passing time and artificial intelligence, applied in traffic flow detection, road vehicle traffic control system, forecasting, etc., can solve the problem of poor accuracy of bus travel time, achieve the effect of eliminating cumulative errors and improving accuracy

Active Publication Date: 2021-10-08
南通安广美术图案设计有限公司
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method does not predict the transit time based on the factors that affect the transit time of the bus, but directly obtains the average historical transit time, which will lead to poor accuracy of the predicted transit time

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
  • Bus passing time prediction method based on big data and artificial intelligence
  • Bus passing time prediction method based on big data and artificial intelligence
  • Bus passing time prediction method based on big data and artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to further explain the technical means and effects that the present invention takes to achieve the intended invention purpose, below in conjunction with the accompanying drawings and preferred embodiments, a method for predicting bus transit time based on big data and artificial intelligence proposed in the present invention , its specific implementation, structure, characteristics and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0033] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0034] The embodiment of the present invention provides a specific imple...

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 the technical field of artificial intelligence, in particular to a bus passing time prediction method based on big data and artificial intelligence. The method comprises the following steps of: segmenting a bus road section into a plurality of sub-road sections, and acquiring driving data of a bus and vehicle optical flow information in the sub-road sections; according to the driving data and the vehicle optical flow information, obtaining road condition features, road section feature vectors, complexity indexes and driving habit indexes of each sub-road section; inputting the road condition features, the road segment feature vectors and the driving habit indexes into a passing time prediction network to output predicted passing time of the corresponding sub-road sections; a loss function of the passing time prediction network is constructed by a complexity index, predicted passing time and real passing time; and obtaining the passing time of the bus road section according to the sum of the predicted passing time of the plurality of sub-road sections, the waiting time of traffic lights and the stopping time of the bus road station. According to the bus passing time prediction method based on the big data and artificial intelligence of the invention, the traffic time of each sub-road section is predicted, so that accumulated error is reduced, and the accuracy of passage time is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a bus transit time prediction method based on big data and artificial intelligence. Background technique [0002] With the continuous development of our country's social economy, problems such as urban traffic congestion and travel inconvenience have become increasingly prominent, seriously affecting people's normal life and urban development. The development of urban public transport is not only an effective measure to alleviate urban traffic congestion, but also an inevitable requirement for improving urban living environment and promoting sustainable urban development. Bus is the most common mode of transportation in urban public transportation. The judgment of bus transit time directly affects the results of bus dispatching, and the prediction of bus transit time has a positive effect on people's travel. [0003] At present, bus transit time prediction is usu...

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): G08G1/01G06Q10/04G06Q50/26
CPCG08G1/0125G08G1/0137G06Q10/04G06Q50/26
Inventor 谢宗艺唐银丹
Owner 南通安广美术图案设计有限公司
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