Bus arrival time forecasting method based on mass historical GPS (global position system) trajectory data

A trajectory data and time prediction technology, which is applied in the traffic control system of road vehicles, traffic control systems, instruments, etc., can solve the problems of difficulty in further improving prediction accuracy, complex calculation process, and poor real-time performance

Inactive Publication Date: 2013-09-11
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
View PDF5 Cites 62 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The neural network model can fit historical data well, but its accuracy mainly depends on the length of training time, so the real-time prediction is poor
[0006] At the same time, most of the existing bus arrival time prediction models are based on massive t

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 arrival time forecasting method based on mass historical GPS (global position system) trajectory data
  • Bus arrival time forecasting method based on mass historical GPS (global position system) trajectory data
  • Bus arrival time forecasting method based on mass historical GPS (global position system) trajectory data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0090] In this embodiment, the Beijing No. 300 Inner Ring (referred to as 300 Inner) bus line is selected as the research object. There are 34 stations including the terminal, and the total length of the line is 48.065 kilometers.

[0091] In this embodiment, a total of 2,515,783 trajectory data in April 2011 were selected, and a system applying the above-mentioned processing and calculation flow was established.

[0092] First, the bus line is generated in the system of this embodiment. As mentioned above, the sources and processing methods of the bus line data are generally divided into two types: map vectorization or format conversion of other existing data; The point data of the line is automatically generated. In this embodiment, the second method is selected to generate the bus route.

[0093] Afterwards, the above-mentioned generated bus routes are segmented. In this embodiment, bus stops are used as dividing points to divide the bus routes into several line segments o...

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 bus arrival time forecasting method based on mass historical GPS (global position system) trajectory data. In the bus arrival time forecasting method, a bus route is divided into multiple travel sections and the average travel time of the travel sections is calculated according to the mass GPS trajectory data; according to the ratio of the distance between the current position of a bus and the nearest bus station to the total distance of the current travel section, and on the basis of the average travel time of the current travel section, the arrival time of the bus to the nearest bus station can be forecasted. On the basis of the mass GPS trajectory data, stable and referable data of the different travel sections can be acquired, and the forecasting precision is 87.6%.

Description

technical field [0001] The invention relates to a bus arrival time prediction method, in particular to a bus arrival time prediction method based on massive historical GPS track data. Background technique [0002] The bus arrival time refers to the travel time from the current position of the bus running along the bus line to the target stop. With the development of social economy and the rapid increase of the number of motor vehicles, urban traffic is facing great challenges. Prioritizing the development of public transportation and realizing intelligent public transportation is not only an important part of the intelligent transportation system, but also an effective way to solve urban traffic problems. The research and development of high-performance bus arrival time prediction technology is of great significance to realize the intelligentization of the bus system on the basis of management and service information, and to improve the management and service level of urban...

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): G08G1/123
Inventor 张健钦李明轩徐志洁杜明义
Owner BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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