Research on Location Method of Vehicle Trajectory based on

Intelligent Terminal

Hangtian He

, Haiyan Wang

, Hao Zhang

,Qing Liu

and Jindong Zhang

1, a, *

College of Computer Science and Technology, Jilin University, Changchun, China

Keywords: Android, GPS, Sensors, Data Acquisition, Real-time Monitoring.

Abstract: With of people's living standards improving, small cars have gradually become the first choice. However,

the consequent traffic problems restrict the development of our society. Based on Android OS and

combined with GPS positioning and smart phone sensor components, this paper develops a software for

real-time monitoring of vehicle speed and trajectory. The position, speed, acceleration and trajectory of cars

are collected and monitored, and the processed data are uploaded to the mobile client through the network

of the mobile phone, and the driving status of the vehicle is monitored in real time through the Android

client. In order to ensure the accuracy of data recording, the minimum distance of GPS and refresh time

interval (refresh once in a second, if the distance exceeds 0.3m compared with the historical location, the

monitoring data will be written into the file). To ensure the real-time performance of acceleration data and

GPS data, the refresh time interval of the body sensor is set to 0.5 s.

1 INTRODUCTION

With the development of human society, there are

more and more automobiles. Though it brings great

convenience to human beings, traffic problems are

becoming more and more serious. According to the

survey, a large part of traffic problems is caused by

malfunction of automobiles. However, no

malfunction occurs abruptly. It can be predicted in

advance by monitoring the state of automobiles,

which can largely alleviate traffic problems.

Therefore, real-time monitoring of the running state

of automobiles is of great importance (

LUO Bing-

Yang, et.al, 2016

). There are two main characteristics

of great mobility and wide range in automobile

industry. Therefore, for real-time monitoring of

automobiles, there is a high demand for real-time

interaction of information. So it is necessary to

establish an informationalized, graphical and online

application platform (

Huang Aqiong, Gu Yunhui, Fu Li,

2013) so as to meet the real-time monitoring of

trajectory and speed of cars. GPS and 4G network

are used to transmit the real-time running state of

cars to the mobile phone to achieve real-time

monitoring, the mobile phone can acquire the

driving state of the car in.

With the advancement of scientific information

technology, computer technology and network

technology have been greatly improved, and on this

basis, remote management monitoring technology

(

Ma Jian, 2016) has been realized. In recent years,

Web-based vehicle monitoring has been

continuously studied and applied, and develops

rapidly in many fields, for example, remote

monitoring and network management technology

has been widely used in vehicle management system

(

Han J W, Kamber M, 2001).At present, wireless data

communication module, sensor module and satellite

positioning module have been applied to the

information monitoring system like vehicle

positioning, vehicle operation status and so on at

home and abroad (

Moridong, Luo, et.al, 2016). Now

the popularity of mobile phones with Android OS

enables us to achieve a real-time monitoring of

vehicle operation status in a more economical and

convenient way, namely, monitoring vehicle

operation combining Android with GPS and mobile

phone’s sensor components in real-time.

He, H., Wang, H., Zhang, H., Liu, Q. and Zhang, J.

Research on Location Method of Vehicle Trajectory based on Intelligent Terminal.

DOI: 10.5220/0008869900970101

In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering (ICVMEE 2019), pages 97-101

ISBN: 978-989-758-412-1

2 APPLICATION DESIGN

The purpose of this application is to develop a

software based on Smartphone (Android version 6.0

or above and pre-installed Google GPS system

services and body sensor components), which can

automatically record the speed and trajectory of the

vehicle in the background and generate a record file.

Figure 1. Flow chart of the program.

2.1 Relevant Technologies

This application is developed on Android platform

by combining GPS module of Google system

service, body sensor module of mobile phone and

Baidu Map SDK. Main technologies used are as

follows:

2.1.1 About Android System

This application development is based on Android

version 6.0 or above. Android version 6.0 or above

has changed its permission control mechanism,

meaning the app needs to be granted with the

permission declaration by the system (

Yang Jun,

2015

). And the time to be granted is when the user

installs APP. The implementation method is to add

permission application in Manifest file. And the

permission is divided into four levels:

Normal: Low-risk permissions, user’s

confirmation is not required for installation

Dangerous: High-risk permissions. User's

confirmation is required for installation.

Signature: The permission can only be granted if

the digital signature of the application applying for

the permission is the same as that of the application

declaring the permission.

SignatureOrSystem: The application with the

same signature or application permission is a system

application (in system image), which is similar to

Signature. Try not to use this option, Signature is

suitable in most situations.

2.1.2 GPS Module

The GPS service component obtains four sets of

data, [Position 1, d1] [Position 2, d2] [Position 2, d2]

[Position 3, d3], which are mainly (satellite position

and distance from signal receiver) (

Fang Xingbo, Tao

Tingye, Gao Fei, 2017). After many high frequency

measurements of positioning points, the speed and

direction of the GPS signal receiver are obtained,

which is fed back to the “Location” variable through

the monitor for users to use.

2.2 Realization of Main Functions

There are three main modules in this software: GPS

information acquisition module, acceleration

information acquisition module and writing in local

SD card module.

2.2.1 GPS Information Acquisition Module

Figure 2. Flow chart of acquisition of GPS information

module.

Two tools are needed in this module: GPS module

embedded in mobile phone and Baidu map

development tool.

1. Configuration Information Description File

Step 1: Declare the permission for accessing to

GPS Declare service component

Step 2: Set the KEY value for developing Baidu

Map;

Step 3: Implement Location Listener positioning

interface

Step 4: Set Location Source (this); Register

positioning monitor

Positioning parameters: Longitude, Latitude,

Speed, Direction setting

Display the positioning layer and trigger the

positioning.

Step 5: get method returns positioning result

2.2.2 Acceleration Information Acquisition

Module

ICVMEE 2019 - 5th International Conference on Vehicle, Mechanical and Electrical Engineering

Figure 3. Flow chart of acquisition of acceleration

information module.

Step 1: Declare the permission for the program to

access to body sensors in Mainfiest.XML

Step 2: Implement sensor interface EventListener

Step 3: Rewrite the onSensorEvent Changed

(SensorEvent event) method and return the result of

the acceleration of the positioning direction. (Values

[0]: X-axis acceleration Values (

LUO Bing-Yang,

et.al, 2016

): Y-axis acceleration Values (

Huang

Aqiong, Gu Yunhui, Fu Li, 2013

): z-axis acceleration)

2.2.3 Write to Local File Module

Figure 4. Flow chart of write file module.

Step 1: Declare the permission for the program to

access to GPS in configuration information

description file

Step 2: Judge whether SD cards exist

Step 3: Get the root directory of the SD card:

Environment.getExternalStorageDirectory().getAbso

lutePath()

Step 4: Get the default file storage path: FILE.

getAbsolutePath ();

Step 5: Read files using BufferReader

Write in files using BufferWriter (in append

mode).

3 ANALYSIS OF THE ACQUIRED

MONITORING DATA

Test environment: (This test only aims at the

purpose of testing whether the software can monitor

the speed and trajectory of vehicle)

This test data is based on the data obtained from

the track and field sports test in South Campus of

Jilin University, at 7:30 pm, on July 6, 2019. Fig. 7.

is the complete motion path map, and Fig. 5and 8.

are the velocity and acceleration data segments

obtained by random detection.

Figure 5. Acceleration curve diagram (part).

Research on Location Method of Vehicle Trajectory based on Intelligent Terminal

Figure 6. Scattered positioning points diagram.

Figure 7. Travel trajectory diagram.

The test results may be slightly different in

different test equipment due to hardware factors

such as different mobile phone models and sensor

models. The results of the monitoring data reflect the

movement status of every second in the testing

process, and the complete trajectory through the

positioning point and the direction of movement is

obtained, which can achieve the expected purpose of

monitoring the speed and trajectory of the vehicle.

ICVMEE 2019 - 5th International Conference on Vehicle, Mechanical and Electrical Engineering

100

Figure 8. Velocity curve diagram (part).

4 CONCLUSIONS

In this paper, a set of application software is

developed on Android platform using GPS

positioning service component and sensor

component on the mobile phone, which can monitor

the vehicle's transportation speed, trajectory and

record in real time. The software meets the demands

of middle and low-end mobile phone users for fast

operating speed and less memory, and can adapt to

the latest Android system.

Test the operating environment: The software

runs normally in many mobile phones with Android

6.0 or above operational systems. The accuracy of

positioning and monitoring data is in 5-10m, which

meets the accuracy requirements of monitoring and

collecting motion data and is consistent with the

expected results.

Module expansion application: The location

information module and acceleration acquisition

module in the program can also be widely used in

other positioning or motion monitoring software.

ACKNOWLEDGEMENTS

This work is supported by National Key Research

and Development Program of China

(2017YFB0102500), Natural Science Foundation of

Jilin province (20170101133JC), the Fundamental

Research Funds for the Central Universities, and

Jilin University (5157050847, 2017XYB252).

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