Public transport vehicle arrival time prediction method based on history data

A technology of public transportation vehicles and historical data, applied in the field of intelligent public transportation, can solve the problems of poor real-time performance, short prediction distance, poor accuracy, etc., and achieve the effect of real-time and accurate acquisition and real-time calculation of vehicle arrival distance

Active Publication Date: 2014-09-24
ENJOYOR COMPANY LIMITED
View PDF9 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the disadvantages of short prediction distance, poor real-time performance and poor accuracy of the existing bus arrival time prediction method, the present invention provides a history-based Prediction method of bus arrival time based on data

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
  • Public transport vehicle arrival time prediction method based on history data
  • Public transport vehicle arrival time prediction method based on history data
  • Public transport vehicle arrival time prediction method based on history data

Examples

Experimental program
Comparison scheme
Effect test

example

[0096] Example: Take the historical tie-up speed data from 8:00 to 9:00 in Yancheng Comprehensive Free Trade Zone from 8:00 to 9:00 in Yancheng Comprehensive Free Trade Zone as an example, as shown in Table 2.

[0097] date

period of time

weather

Week

speed

2014 / 5 / 2

8:00-9:00

sunny

Friday

33.23

2014 / 5 / 3

8:00-9:00

sunny

Saturday

32.55

2014 / 5 / 4

8:00-9:00

sunny

Sunday

35.33

2014 / 5 / 5

8:00-9:00

sunny

Monday

34.21

2014 / 5 / 6

8:00-9:00

sunny

Tuesday

36.29

2014 / 5 / 7

8:00-9:00

sunny

Wednesday

36.41

2014 / 5 / 8

8:00-9:00

sunny

Thursday

35.77

[0098] 2014 / 5 / 9

8:00-9:00

sunny

Friday

33.21

2014 / 5 / 10

8:00-9:00

sunny

Saturday

33.41

2014 / 5 / 11

8:00-9:00

sunny

Sunday

35.29

2014 / 5 / 12

8:00-9:00

sunny

Monday

...

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

A public transport vehicle arrival time prediction method based on history data comprises the following steps: a)receiving GPS real-time data uploaded by a GPS device on a public transport vehicle and vehicle arrival information data in real time; b) processing the GPS real-time data after the GPS real-time data of the vehicle is obtained successfully; and c) after the vehicle arrival information is obtained successfully, searching station devices to send information from on-line station devices according to the line serial number and the running direction in the vehicle arrival information and obtaining the closet vehicle distance of a target station; and through obtaining the history data and today's data of the running speed of a vehicle between adjacent stations on the line at set time running period, by utilizing a weighted average method to estimate the average running speed of the vehicle between the adjacent stations on the current line and at the current time period, and on the basis of the bypassed inter-station distances and inter-station average running speed of the vehicle running to the station, each inter-station running time of the vehicle can be estimated, and the vehicle arrival time can be predicted jointly. With the method, the prediction distance is long, the real-time performance is good and the accuracy is good.

Description

technical field [0001] The invention relates to the technical field of intelligent public transport, in particular to a method for predicting the arrival time of public transport vehicles. Background technique [0002] The development of public transportation is one of the important ways to alleviate traffic congestion in large cities in my country. Improving the service level of public transportation will greatly improve the efficiency of traffic operation. The electronic stop sign on the platform is the most widely used public transportation infrastructure, which can provide passengers with timely Vehicle arrival information greatly facilitates the travel of passengers. With the continuous acceleration of my country's urbanization process and the continuous improvement of public transportation, the number of bus stop signs is increasing. Quality is very important. [0003] Existing vehicle positioning technologies include bus positioning technology based on CAN bus, bus pos...

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): G08G1/00
Inventor 周楠徐建军张华波邵小华张书浆张国根王雷王辉
Owner ENJOYOR COMPANY LIMITED
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