Intelligent Ambulance Traffic Assistance System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 8
Abstract
With the increase in traffic road density, several causalities occur due to delay in taking a patient to the hospital in an ambulance. In this paper, we have developed an algorithm to find the shortest path to reach the required destination. As required the software will identify the present location of the vehicle and ask the user for the destination. Then it will show all the available paths, highlighting the shortest one or in several cases the most optimum one. Further we made the traffic signals automated for special vehicles like an ambulance or a fire-engine such that the signals will go green for the ambulance as it comes in the vicinity of the traffic signal, thus providing them with a clear path to reach its destination. The original signal is restored as soon as the ambulance goes undetected by the Bluetooth scanner of the traffic signal.
Authors and Affiliations
RONOJOY GHOSH, VIVEK SHAH, HITESH AGARWAL, ASHUTOSH BHUSHAN, PRASUN KANTI GHOSH
Keywords
Related Articles
- EP ID EP87693
- DOI 10.14569/IJACSA.2013.040819
- Views 100
- Downloads 0
Instant Diacritics Restoration System for Sindhi Accent Prediction using N-Gram and Memory-Based Learning Approaches
The script of Sindhi Language is highly complex due to many complexities including abundance of homographic words. The interpretation of the text turns so tough due to the possibility of multitudinal meanings associated...
E-learning as a Research Area: An Analytical Approach
The concept of E-learning is very broad. It was coined in late 90s as the technological enhanced learning mechanism through Internet. Now it captures a broad range of electronic media like Internet, Intranets, Extr...
Novel ABCD Formula to Diagnose and Feature Ranking of Melanoma
A prototype of skin cancer detection system for melanoma diagnoses in early stages is very important. In this paper, a novel technique is proposed for Skin malignant growth identification based on feature parameters, col...
Development of A Clinically-Oriented Expert System for Differentiating Melanocytic from Non-melanocytic Skin Lesions
Differentiating melanocytic from non-melanocytic (MnM) skin lesions is the first and important step required by clinical experts to automatically diagnosis pigmented skin lesions (PSLs). In this paper, a new clinically-o...
Mobile Malware Classification via System Calls and Permission for GPS Exploitation
Now-a-days smartphones have been used worldwide for an effective communication which makes our life easier. Unfortunately, currently most of the cyber threats such as identity theft and mobile malwares are targeting smar...