Introducing Autonomous Car Methodology in WSN

International Journal of Computer & Organization Trends  (IJCOT)          
© 2015 by IJCOT Journal
Volume - 5 Issue - 1
Year of Publication : 2015
Authors : Promita Maitra , Sohini Nandi , Ipsita Saha , Poojarini Mitra , Sayani Chandra
DOI : 10.14445/22492593/IJCOT-V17P303


Promita Maitra , Sohini Nandi , Ipsita Saha , Poojarini Mitra , Sayani Chandra "Introducing Autonomous Car Methodology in WSN", International Journal of Computer & organization Trends (IJCOT), V5(1):51-54 Jan - Feb 2015, ISSN:2249-2593, Published by Seventh Sense Research Group.


An autonomous car, also known as a driverless car, self-driving car or robot car, is an autonomous vehicle capable of fulfilling the human transportation capabilities of a traditional car. As an autonomous vehicle, it is capable of sensing its environment and navigating without human input. Robotic cars exist mainly as prototypes and demonstration systems, but are likely to become more widespread in the near future. Expert members of the Institute of Electrical and Electronics Engineers (IEEE) have estimated that up to 75% of all vehicles will be autonomous by 2040. Collision avoidance is the great challenge in the active safety of the road vehicles. In India the total annual deaths due to road accidents has crossed 1.18 lakh, according to the latest report of National Crime Records Bureau (NCRB). In this report we describe part of the work conducted related to the studies of route finding and vehicle collision detection and removal algorithms in a situation where multiple vehicles are moving simultaneously. This is a description of the functional capabilities of a series of computer programs that can be used to investigate the consequences of autonomous car methodology in WSN. Main three elements of the simulation tools for autonomous driving are 1. Shortest Route Finding, 2. Collision Detection, 3. Collision Avoidance In this work it was deemed desirable to have an interface between the simulation programs so that users can take a note of the vehicle movement profiles while running in a multi-car scenario given the input cases for vehicle operations. Program functions and the interfaces between programs are outlined. Some simulation run cases are shown for various functions implementing user-specified map containing blocks. The screenshots captured during the case studies are also illustrated in this report.


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WSN, Autonomous Car, Route Finding, Collision Detection