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

Bus arrival time predicting method and system based on multivariate information data

A multi-information and time prediction technology, applied in the field of intelligent transportation, can solve problems such as low accuracy and poor timeliness

Active Publication Date: 2014-09-24
ENJOYOR COMPANY LIMITED +1
View PDF6 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the shortcomings of poor timeliness and low accuracy of the existing bus arrival prediction methods, the present invention provides a bus arrival time prediction method and system based on multiple information data with good timeliness and high accuracy

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 predicting method and system based on multivariate information data
  • Bus arrival time predicting method and system based on multivariate information data
  • Bus arrival time predicting method and system based on multivariate information data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] refer to Figure 1 ~ Figure 3 , a bus arrival time prediction method based on multivariate information data, including the following steps:

[0043] 1). Preprocessing the acquired multivariate information data to form a historical database. The multivariate information data includes the GPS data of public transport vehicles on the predicted route, the GPS data and public bus IC card data of other route bus vehicles in the passage section, and obtains after data processing The information includes: line number, license plate number, vehicle operating position, vehicle speed, interval between stations (upstream and downstream adjacent station IDs), arrival time and departure time of vehicles at each station, number of people boarding and number of people getting off, etc.;

[0044] 2). Match the vehicle license plate with the route on the historical database, calculate the travel time of the road section and the passenger flow delay at the station, and predict the future ...

Embodiment 2

[0087] refer to Figure 4 A bus arrival time prediction system based on multiple information data includes a bus GPS data acquisition system, an IC card data acquisition system, and a data processing system. The bus GPS data collection system provides real-time basic data for the data collection system. The basic functions of the bus GPS data collection system and the IC card data collection system already belong to the existing technology, so the failure to introduce their structure and working principle in detail should not be regarded as insufficient disclosure;

[0088] The data processing system mainly includes a data receiving module, a preprocessing module, an operating state parameter estimation module, and a bus arrival time prediction module. The processing flow is shown in the attached Figure 4 :

[0089] The data receiving module sends the data of the bus GPS data acquisition system to the preprocessing module in real time, and can make statistical records of th...

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 bus arrival time predicting method based on multivariate information data includes the following steps that preprocessing is carried out on the obtained multivariate information data to form a historical database, wherein the multivariate information data include GPS data of buses on predicted lines, GPS data of buses passing through other lines of a road section and bus IC card data, and information obtained through processing includes bus running positions, bus speeds, intervals between stations, arrival time of the buses at each station, departure time, the number of people getting on the buses and the number of people getting off the buses; a model is built to predict running time of the buses between stations, station dwell time is predicted by calculating passenger capacity of the stations, and accordingly interval journey time is obtained and arrival time of the buses is predicted. Furthermore, a bus arrival time prediction prototype system based on the multivariate information data is developed. The bus arrival time predicting method has the advantage of being high in prediction time validity and accuracy.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and relates to a bus arrival time prediction method and system. Background technique [0002] Many large and medium-sized cities in my country have put forward the concept of "transit city" to alleviate the growing demand for motor vehicle travel and serious traffic congestion by creating a green bus city. Through the introduction of ITS technology, "Bus City" gradually realizes bus operation and scheduling, and the intelligence, digitization, networking and integration of bus travel. The development experience of large cities at home and abroad shows that in order to solve urban traffic problems, especially in super-large cities, the important role of public transportation must be fully utilized. The arrival time service of public transportation (the following public transportation refers to bus and tram transportation) is one of the key services to improve the attractiveness...

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): G08G1/01
Inventor 钱小鸿滕靖徐建军陈思锦张书浆金威敏
Owner ENJOYOR COMPANY LIMITED
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