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Simple Approach to Traffic Update System

by D Karmaker, M S U Miah, M A Imran, H Rahman, A Bhowmik
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 5
Year of Publication: 2015
Authors: D Karmaker, M S U Miah, M A Imran, H Rahman, A Bhowmik
10.5120/20739-3118

D Karmaker, M S U Miah, M A Imran, H Rahman, A Bhowmik . Simple Approach to Traffic Update System. International Journal of Computer Applications. 118, 5 ( May 2015), 8-11. DOI=10.5120/20739-3118

@article{ 10.5120/20739-3118,
author = { D Karmaker, M S U Miah, M A Imran, H Rahman, A Bhowmik },
title = { Simple Approach to Traffic Update System },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 5 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number5/20739-3118/ },
doi = { 10.5120/20739-3118 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:51.496750+05:30
%A D Karmaker
%A M S U Miah
%A M A Imran
%A H Rahman
%A A Bhowmik
%T Simple Approach to Traffic Update System
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 5
%P 8-11
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a day's traffic jam is a very common problem in all the cities. Every day people spend valuable times uselessly because of traffic jam. We have proposed a system that came up with a solution which can reduce traffic jam dramatically. This is a web based application. People will just check the status of the route they are heading for whether the route consisting medium, heavy or less traffic. Moreover people can check all the alternative routes for the current traffic status that can help them taking decision for a traffic jam free route.

References
  1. Zhu, Z. , Xu, G. , Yang, B. , Shi, D. , & Lin, X. (2000). VISATRAM: A real time vision system for automatic traffic.
  2. Dickinson, K. W. , & Wan, C. L. (1989). Road traffic monitoring using the TRIP II system.
  3. Takaba, S. , Sakauchi, M. , Kaneko, T. , Hwang, B. W. , & Sekine, T. (1982). Measurement of traffic flow using real-time processing of moving pictures.
  4. Inigo, R. M. (1989). Application of machine vision to traffic monitoring and control.
  5. Ali, A. T. , & Dagless, E. L. (1991). Computer vision-aided road traffic monitoring.
  6. Koller, D. , Weber, J. , & Malik, J. (1994). Robust multiple car tracking with occlusion reasoning.
  7. Barni, M. , Bartolini, F. , Capellini, V. , Lambardi, F. , & Piva, A. (1998). Fuzzy motion detection for highway traffic control.
  8. M A U Rahman, M S U Miah, M A Fahad and D Karmaker, "SHIMPG: Simple human interaction with machine using Physical Gesture" Control Automation Robotics & Vision (ICARCV), 2014 IEEE. [Online]. Available: http://ieeexplore. ieee. org/xpl/articleDetails. jsp?arnumber=7064322.
  9. D karmaker, H Rahman, M S Rahaman, M S Rahman, "Global Motion tracking with six parameter model", ARPN Journal of Systems and Software,Volume 1 No. 5, 2011. [Online]. Available: http://scientific-journals. org/journalofsystemsandsoftware/archive/vol1no5/vol1no5_3. pdf.
Index Terms

Computer Science
Information Sciences

Keywords

Traffic Jam Object Detection Object Tracking Kalman Filter Masking RPC.

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