Unlock instant, AI-driven research and patent intelligence for your innovation.

A bus arrival time prediction method and system based on multivariate data fusion

A time prediction and multi-data technology, applied in the field of intelligent transportation, can solve problems such as large time gap and inability to respond to the speed of vehicles in bus lanes, and achieve the effect of improving reliability, meeting real-time application requirements and high precision.

Active Publication Date: 2022-04-19
西安安邦鼎立智能科技有限公司 +1
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since many cities have bus-only lanes, the traffic data calculated by traditional methods cannot reflect the speed of vehicles on the bus-only lanes, resulting in a large gap between the predicted bus arrival results and the 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
  • A bus arrival time prediction method and system based on multivariate data fusion
  • A bus arrival time prediction method and system based on multivariate data fusion
  • A bus arrival time prediction method and system based on multivariate data fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] This embodiment provides a construction process of a road condition information table.

[0061] The construction of the traffic information table includes the following steps:

[0062] Step 1: Receive real-time GPS data collected by GPS terminals of taxis and buses, and preprocess the GPS data;

[0063] Step 1.1: Discard the wrong data of longitude and latitude coordinates. The coordinate range of Xi’an City is between 107.40-109.49 degrees longitude and 33.42-34.45 degrees latitude. For the received GPS data, if the coordinates are outside this range, they will be excluded;

[0064] Step 1.2: fill in the lost GPS data. Set point P(x p ,y p ) is lost, use two adjacent points P1(x p1 ,y p1 ) and P2(x p2 ,y p2 ) to calculate and fill. Lost point P(x p ,y p ) coordinate x p =(x p2 -x p1 ) / 2,y p =(y p2 -y p1 ) / 2.

[0065] Step 1.3: Processing of drifting GPS data. Assume that any two points P1(x p1 ,y p1 ) and P2(x p2 ,y p2 ), establish a Cartesian co...

Embodiment 2

[0100] On the basis of the scheme disclosed in Embodiment 1, this embodiment uses the road condition information table of Embodiment 1 to calculate the bus arrival time and distance.

[0101] The bus arrival time and distance calculation process is:

[0102] Step 1: The client requests the predicted time and distance of the bus to the current station through the mobile phone, and sends the current route and station information to the background, such as {34 road, xx village};

[0103] Step 2: The server calculates the distance between the {34 road} bus and the xx village station.

[0104] Get a bus position C and its road segment n-1, the length of road segment n-1 is L n-1 , the distance traveled by the bus on the road section n-1 is λ 1 , then the untraveled distance λ on road segment n-1 2 , the distance of the bus to reach station X is:

[0105]

[0106] Among them, λ 2 =L n-1 -λ 1 , L n Indicates the distance of road segment n, each road segment L can be retrie...

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 present invention provides a method and system for predicting bus arrival time based on multivariate data fusion. The method includes: 1. Receive and process real-time GPS data collected by taxi GPS terminals and bus GPS terminals, and generate an electronic map Road condition information table; 2. Retrieve the distance of each road section from the road condition information table, and calculate the distance of the bus arriving at the predicted station X according to the current position of the bus; 3. Calculate the bus arrival time at the current station according to the road condition information table and distance time T x , where: the bus arrival time T x = road section travel time T d +Station delay time T r ;Travel time T d is the travel time of the bus from the current location to the predicted station X, and the station delay time T r Obtained from the road condition information table according to the road section number, the system of the present invention fuses the GPS data of taxis and buses to construct the road condition information table, calculates the bus arrival time according to the road condition information table, and releases it through the terminal.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method and system for predicting bus arrival time based on multivariate data fusion. Background technique [0002] Public transportation has the advantages of large carrying capacity, high transportation efficiency, low energy consumption, relatively small pollution, and low average transportation cost. Vigorously developing public transportation is an effective way to relieve urban road traffic pressure. However, for most cities at present, the bus capacity is insufficient, the departure interval is large, and it is not uncommon to arrive at the station late due to the influence of road conditions and traffic accidents. The "difficulty waiting for the bus" has become a common social problem. The demand for real-time bus arrival information to solve the problem of bus travel is increasingly strong. If it is possible to provide travelers with accurate bus arrival time ...

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 Patents(China)
IPC IPC(8): G08G1/123G06Q10/04G06Q50/26G06F16/29
CPCG08G1/123G06Q10/04G06Q50/26G06F16/29
Inventor 颜建强韩哲熊英胡静
Owner 西安安邦鼎立智能科技有限公司