Traffic Congestion Detection in Vehicular Adhoc Networks using GPS
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
In today’s world traffic congestion is the critical issue. Huge amount of time, fuel and money is wasted due to traffic jams all around the world. Drivers select the path that they consider will be the fastest; however the inability of drivers to know the road situation ahead creates severe congestion. The competency of a driver to know the traffic situation on roads will make the driver capable of saving time and fuel by taking alternative routes. In this work we have proposed a traffic congestion detection system using Vehicular adhoc networks (VANETs), which will provide efficient communication between cars and infrastructure and propagate real time information about traffic congestion to the drivers. We also uses the GPS device to detect the congested areas and defines various works
Authors and Affiliations
Disha Shrivastava, Arun Agrawal
Techniques for the Detection of Blood Vessels in DiabeticRetinopathy
Abstract: Identification of blood vessels in medical images plays a vital role in explaining many practicalapplications pertaining to the diagnosis of the blood vessels. Vessel segmentation algorithms are the importantel...
Enhanced Detection Rate for Network Intrusion Detection System by Using Chaotic Firefly Algorithm
Regarding the security of computer systems, the intrusion detection systems (IDS) are essential components for the detection of attacks at the early stage. Therefore, the main goal of this thesis is to choose the differe...
Controlling the Behavior of a Neural Network Weights Using Variables Correlation and Posterior Probabilities Estimation
ABSTRACT: In this article, a number of posterior probabilistic based equations were introduced to detect the effect of controlling the correlation between variables on the behavior of feed forward neural network we...
A Cost Estimation of Maintenance Phase for Component Based Software
Cost estimation of maintenance phase is necessary to predict the reliability, improve the productivity, project planning, controlling and adaptability of the software. Accurate estimation makes good understanding...
Map-Reduce Synchronized and Comparative Queue Capacity Scheduler in Hadoop for Extensive Data
Abstract: Map-Reduce is drawing attention of both industrial and academic for processing of big data. In this paper, we have mainly focused on core scheduler of Hadoop i.e. Capacity Scheduler. The scheduler assigns tasks...