TRAFFIC REDUCTION USING ANDROID APPLICATION

Report Presented by:-Tanavi Ghosalkar

-Shailendra Khandewale-Diksha Suvarna

Project Guide :- Prof. Uday Rote

The road traffic management is based on dynamic vehicle routing.Selection route depends on various parameters.End user selects source and destination then the path will be displayed on Maps .Optimal path will be provided Accommodation of people in less number of vehicles.

ABSTRACT

• Increasing traffic• Individuals takes cabs or own vehicles to drive to their destination

• Use of vacant seats in the vehicles• Application Based on Android• commuters from same Vicinity• Profile matching• More number of commuters can be populated in lesser number of vehicles

INTRODUCTION

What is Android ?

Open Source System

Direct Access to Hardware Components

More Popularity

Why Android ? ?

To reduce traffic congestion. To provide optimum path to reach the destination To accommodate more number of people in lesser number of vehiclesTo reduce pollution

AIMS & OBJECTIVES

Mr.V.Shashikiran, T.T Sampath Kumar,N.Sathish Kumar, V.Venkateswaran,S Balaji, P.G., proposed a paper on “Road Traffic Management based on Krushkal’s Algorithm”.

Sandeep Kumar, Mohammed Abdul Qadeer, Archana Gupta, "Location Based Services using Android“

Tongyu Zhu, Wang Xiang, “Towards Optimized Routing Approach for Dynamic Shortest Path Selection in Traffic Networks”

LITERATURE SURVEY

Route Of Person Driving The CarPosition of the person who wants to take the lift and is in the path of the person driving carOptimum path from source to destination through the person taking the lift using kruskal’s algorithmAccommodating more people in comparatively less vehiclesTraffic updates based on real time traffic conditions.Various features of our system.

PROPOSED SYSTEM

Route Of Person Driving The Car

Position of the person who wants to take the lift and is in the path of the person driving car

Based on age, occupation, gender.

Highest matched clusters will be provided.

Chat window for selected persons.

Communication between them to notify about their destination etc.

PROFILE MATCING

Optimum path from source to destination through the person taking the lift

Representation of Junction Representation of junction as nodes

Kruskal’s Algorithm

Route Process Of Real Time Navigation System

METHODOLOGY

HARDWARE SPECIFICATION 1. COMPUTER SYSTEM

Processor: PentiumSpeed : 233MHzRam : 1GB or moreHard disk : 80GB or more2. MOBILEOperating System: AndroidProcessor speed: 512MHz or moreAndroid Version: 4.0.0 onwardsMemory Space: 100MbGPS Support

TECHNICAL SPECIFICATION

SOFTWARE SPECIFICATION Operating system : Windows xp,vista,7Front End : Android InterfaceIntegrated language : JavaDevelopment Software : Eclipse , SDK

FEATURESEstimating optimum path.Current traffic updates.Estimating ideal speed to reach the destination.Estimating ideal time to reach the destination.Traffic frequency.Providing optimum path based on traffic frequency.

FEATURESSocial profile matching.Chat system for communication.Enabling broadcast messages.Enabling audio messages.End user can view the number of people that travel in a particular path.Finding address of a particular destination.

MODULES TO BE IMPLEMENTED

Web-site DesigningDatabase ConnectivityDevelopment Of User InterfaceCalculation Of Optimum PathProfile MatchingChat Window Insertion

REFERENCES[1] Mr.V.Shashikiran, T.T Sampath Kumar,N.Sathish Kumar, V.Venkateswaran,S Balaji, P.G., “Dynamic Road Traffic Management based on Kruskal’s Algorithm”, IEEE-International Conference on Recent Trends in Information Technology, IEEE MIT, Anna University, Chennai. June 3-5, 2011

[2] Tongyu Zhu, Wang Xiang, “Towards Optimized Routing Approach for Dynamic Shortest Path Selection in Traffic Networks”, 2008 International Conference on Advanced Computer Theory and Engineering [3] Sandeep Kumar, Mohammed Abdul Qadeer, Archana Gupta, "Location Based Services using Android", proceedings of 3rd IEEE International Conference on Mobile Data Management, Singapore, January 2009 978-1-4244-4793-0.

[4] http://developer.android.com/training/basics/firstapp/index.html [5] “Hello, Android: Introducing Google's Mobile Development Platform” By Ed Burnette

[6] D. E. Kaufman and R. L. Smith, "Fastest paths in time-dependent networks for intelligent vehicle-highway systems application”, Journal of Intelligent Transportation Systems, vol.1, no.1, pp. 1-11, 1993. [7] Y. Liu, J. Zheng, L. Yan and Y. Xu, "Study on the real time navigation data model for dynamic navigation”, in Proc. IGARSS'05, 2005, pp. 784-787.

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