ijiret sandeep mk cloud based traffic alerts system using smart phone

Peer Reviewed Online International Journal Volume 1, Issue 3, July 2014 1

Cloud Based Traffic Alerts System

using Smart Phone

Sandeep MK

M.Tech in Computer Science & Engineering

KLE Dr. M. S. Sheshgiri College of Engineering

Belgaum, Karnataka, India

[email protected]

Rashmi G

Assistant Professor in Computer Science

KLE Dr. M. S. Sheshgiri College of Engineering


[email protected]

Henin Roland Karkada

M.Tech in Computer Science & Engineering

Center for PG Studies, VTU


[email protected]

Abstract

Traffic monitoring systems deployed until now, use data

collected mainly through fixed sensors. Advances on the

modern mobile devices have made possible the development

of Smart Traffic Systems, which use the traffic information

gathered by the drivers mobile devices to provide route guidance. The paper is focused on building a Low Pro-

cessing Real-Time Traffic Information System based mobile

devices and message passing cloud Server which is used for

both acquiring traffic information data, and for providing

feedback and guidance to drivers. This paper demonstrates

the low communication features and requirements for dy-

namic route guidance together with possible solutions. A key

component of the system is the cloud server that gathers

data in and passes to the client without requiring the client

to request the server for traffic data. The system is developed

using Android and works on any Android enabled device

with cloud server as a communicator between phones.

Keywords

Cloud Computing, GPS, C2DM, HTTP

Introduction

Traffic congestion is a major problem affecting millions

of people in their everyday life in big cities all over the

world. Traffic monitoring systems deployed until now use

the data collected mainly through fixed sensors; which pro-

vide information about the number and speed of vehicles

that cross them. Nevertheless this type of system is not de-

ployed at wide scales mostly because of its high cost. Ad-

vances on the modern mobile devices have made possible

the development of Smart Traffic Systems which use the

traffic information gathered by the drivers mobile devices to provide route guidance. This paper demonstrates the low

communication features and requirements for dynamic route

guidance together with possible solutions. A key component

of the system is the cloud server that gathers data in and

passes to the client without requiring the client to request the

server for traffic data. Mobile devices used as traffic sensors

present major advantages compared to other solutions.

So far all the existing solutions require the design, im-

plementation and maintenance of special infrastructure,

which can be both expensive and difficult to deploy. On the

other hand, cellular networks are already widely deployed

and provide large population coverage.

Modern mobile devices come equipped with Global Po-

sition System (GPS) receivers which can calculate the de-

vices location and speed with sufficient accuracy. On the communication side, many wireless standards

(3G/4G/WLAN) are already included and most of the up-

coming standards are expected to be integrated in the near

future.

International Journal of Innovatory Research in Engineering and Technology IJIRET www.ijirusa.webs.com


This connectivity capacity and the array of sensors that

mobile devices are equipped with, make them suitable for

gathering a great amount of traffic data. Finally, modern

mobile devices feature high resolution screens or touch

screens that can be used for interacting with the driver and

display detailed information. Although the motivation be-

hind using mobile devices in Smart Traffic Systems is obvi-

ous, there are still many challenges and issues that must be

addressed before deploying it to the real world. The most

critical ones are related to security and privacy of the users

and to efficient positioning and real-time route guidance. A

key component of such a system must be the mobile applica-

tion which will collect the traffic data; integrate security

algorithms and finally present guidance information to the

driver.

Cloud computing will in many cases offer the appropri-

ate scalability, flexibility and cost-model for many different

types of services. This proves the importance of these tech-

nologies and how crucial it is to continue to push the bound-

ary on what is possible to offer to the end users with the ev-

er-improving hardware and network infrastructure available.

A common belief is that- combination of a cloud based con-

tent publisher and a smart phone content subscriber. Focus is

on a concept of tying both cloud computing and mobile de-

vices together through push messaging. Push messaging

provides the possibility for mobile devices to receive mes-

sages from a content publisher via a cloud application. In

this context a fairly new technology called C2DM (Cloud to

Device Messaging), which is part of the Android platform

and has been developed by Google is looked into. This paper

presents the clouds push to device messaging and smart

phones cloud access reduces communication and the pro-

cessing overhead on various mobile devices.

Figure 1. Cloud computing Architecture

Aim and Objectives

The System is designed to provide low processing traffic alert system which can be employed on small devices such

as mobile phones.

The targeted application is deployed to run on smaller de-vices such as mobiles phones.

The System must provide Route Path Information on the google maps.

The proposed system must provide traffic alerts on the displayed route to the user rather than displaying every-

thing on the map.

The system must allow users to upload traffic alert from their mobile in real time.

The system use accelerometer to detect slow moving traf-fic by getting orientation and movement of the mobile.

The System must secure the data storage on the cloud server using Symmetric Encryption.

The configured system provides location based alert within the 2 KMS surrounding of the location point.

Proposed System

The proposed system provides the traffic information us-

ing GPS; the application monitors the user location while

traveling fetchs information about the traffic by sending the GPS co-ordinates to the Cloud Server which provides mes-

saging service to clients, allows user to get Location based

notes alert. The clouds messaging service reduces the bur-den on the clients to look for the server for traffic data time-

ly which reduces the processing overhead on the clients by

90% and the data communication by 50% compared to pre-

vious approaches.

Proposed System and Its Advantages

Assume an example where two users wants to travel in the same route, The First user is ahead in the route with re-

spect to the second user. Assume first user finds the traffic in

the route, he intimates to all the users of the traffic alert sys-

tem by sending the message to the cloud server that contains

the GPS Co-Ordinates of the traffic area. Unlike previous

HTTP Servers the Cloud Servers Push Cloud to device messaging allows the message to be transferred to the traffic

alert if they are reachable, if the users are not available,

Cloud Server sends the message to the offline client as soon

as they become available.

This feature of server approaching the client reduces the

burden of storing data on the server and making the client

application to periodically check the servers database for data availability. After receiving the message from the serv-

er, Client application checks his current location and calcu-

lates the distance between messages location and current



location, if the distance is less than 2 km and is in the path of

the users route, Client application raises the alert by giving voice alert to the user and displays the traffic notification on

the google map. The application also provides Route direc-

tions to the user. The application reduces the processing

overhead since the application is not required to check the

server database for data availability and data communication

by 50%, since there is no need to send requests to the server

periodically. The Proposed approach allows users get alert

from the traffic police by getting the alerts updated from the

police mobile phone.

Advantages

The use of cloud server reduces the processing overhead on the small devices (mobile) by 90%.

The secure cloud messaging reduces the burden of storing and retrieving data from the server.

Reduces the data communication by 50%.

Client will not get all the traffic alerts; instead he will get the traffic alerts which are near to the clients current loca-tion.

There is no extra infrastructure needed for this cloud based traffic alert system.

Figure 2. System architecture

In Figure 2 first user has to register to the cloud server

along with the location details i.e. latitude and longitude.

Then client has to set the traffic alert range in km, it means

the client only get the traffic alerts within that range. If there

is any traffic the super user i.e traffic police will upload the

traffic details to the cloud server along with the latitude and

longitude. Then the cloud server will send the traffic alerts to

those clients, which are near to that traffic location. So the

clients avoid that route and take alternate route to reach their

destination.

Modules

The modules designed used in the system are:

1) Login Module

In this module the administrator of the system (super user)

will perform the following tasks:

Input: Enters the username and password

Output: When clicked on submit button, It will redirect to

the traffic alert log page.

2) Search Module

This module is used to find the route between the source and

destination.

Input: User enters the source and destination latitude and

longitude.

Output: when client clicks find route button, the application

will show the route between the source and destination.

3) Server settings module In this module, the client of the system will enter the cloud

server IP address.

4) Traffic alert settings module

In this module the client will enter the range in Km; within

that the traffic alerts will receive.

5) Traffic alert Module In this module, the super user or administrator will upload

the traffic details such as low traffic, medium traffic or high

traffic with the particular location.

6) Place Module

In this module, the administrator or client will add frequent-

ly visited source and destination and also delete the places.

Results and Discussions

In this section the effectiveness of the system is represent-

ed using graphs for response time v/s number of users and

Response time v/s distance in

km.

Figure 3. Response time v/s number of users

In the above graph response time is taken in Y axis and

number of users registered is taken in the X axis. It can be

seen that there is an exponential rise in the response time to

number of user increases.



Figure 4. Response time v/s distance

In the above graph response time is taken in Y axis and

distance in km is taken in the X axis. It can be seen that there

is an exponential rise in the response time to distance in-

creases.

Conclusion and Future Scope

In this paper the simple traffic scenario is considered, here

user has to register to the cloud server through the Android

application installed in his smart phone. The traffic police is

the administrator and he will update the traffic details from

his smart phone to the cloud server along with the location

i.e. latitude and longitude. All the data has to be stored in the

cloud database server. Once the traffic details are stored,

Cloud server will automatically send traffic alerts to the reg-

istered clients. The clients will not get all the traffic alerts

instead; he/she will get traffic alerts which are near to his/her

location.

Hence client will not get confused with all unnecessary

traffic alerts. Once he/she gets the traffic alert he/she will

take alternate route to reach his/her destination.

Future Scope

This work targets the development of smart traffic infor-

mation system based on smart phones. The analysis of the

traffic information system, its security risks, requirements

and challenges for dynamic route guidance, together with

possible solutions has been presented. A key component of

the system, the mobile application which is used for testing

and evaluating new algorithms has been described and its

security and privacy features have been addressed.

Reference

[1] V. Manolopoulos, S. Tao, S. Rodriguez, M. Ismail, and

A. Rusu School of ICT, Royal Institute of Technology

Stockholm, Sweden, MobiTraS: A Mobile Application for a Smart Traffic System

[2] Jarle Hansen School of Information Systems, Computing

and Mathematics Brunel University London, UK Cloud to Device Push Messaging on Android: a Case Study 2012 26th International Conference on Advanced Information

Networking and Applications Workshops.

[3] Rezwana Karim, Department of Computer Science, Rut-

gers University VANET: Superior System for Content Dis-tribution in Vehicular Network Applications

[4] Md Whaiduzzaman a, Mehdi Sookhaka, Abdullah Gania

, Rajkumar Buyyab A Survey on Vehicular Cloud Compu-ting

[5] Yong Hao, Student Member, IEEE, Yu Cheng, Senior

Member, IEEE, Chi Zhou, Senior Member, IEEE, and Wei

Song A Distributed Key Management Framework with Cooperative Message Authentication in VANETs

[6] http://www.cloudtuitorials.com/cloudtypes

[7] http://en.wikipedia.org/wiki/Java_(programmlanguage)

[8]http://help.xcart.com/index.php?title=Guidelines_on_writ

ing_Software_specification

[9] http://ecomputernotes.com/software-engineering

[10]http://www.pearltrees.com/u/20909094-flowchart-

encyclopedia

[11]http://dataflowdiagram.blogspot.in/2009/10/what-is-dfd-

or-what-is-data-flow.html

[12]http://www.javagyan.com/tutorials/umltutorial/use-case-

diagram

[13] http://www.learnsad.com/UMLSEQ.html

[14] http://blogcoder.net/html5

Cloud Based Traffic Alerts System Using Smart Phone

[15]http://docs.oracle.com/cd/E24902_01/doc.91/e50711/ch

_jv.htm

[16]http://warez-serbia.com/90446-pluralsight-mysql-

fundamentals-part-2.html



Biographies

SANDEEP MK received B.E.

in Computer Science and En-

gineering from SIR MVIT

Bangalore and currently pursu-

ing Masters in Computer Sci-

ence and Engineering from

KLE Dr. M. S. Sheshgiri col-

lege of Engineering and Tech-

nology, Belgaum. His area of

interest includes Cloud Com-

puting.

He may be reached at [email protected]`

HENIN ROLAND KARKA-

DA is currently pursuing

M.Tech in Computer Science

at Center for Post-Graduation

Studies, (VTU), Belgaum.He

received his Bachelor of Engi-

neering in Computer Science

from Mangalore Institute of

Technology (MITE) Manga-

lore. His areas of interests in-

clude Content Based Image

Retrieval, Cloud Computing

and Semantic Web

He may be reached at [email protected]

ijiret sandeep mk cloud based traffic alerts system using smart phone

Documents