Open AccessModeling of Situation Response Time in Vehicular Ad-Hoc Network
Author(s) -
Raphael Olufemi Akinyede
Publication year - 2018
Publication title -
matics
Language(s) - English
Resource type - Journals
eISSN - 2477-2550
pISSN - 1978-161X
DOI - 10.18860/mat.v10i1.4785
Subject(s) - wireless ad hoc network , vehicular ad hoc network , vehicle to vehicle , computer science , wireless , vehicular communication systems , intelligent transportation system , computer network , transmission (telecommunications) , inefficiency , vehicle information and communication system , wireless network , telecommunications , engineering , road traffic , transport engineering , economics , microeconomics
— In Vehicular Ad-Hoc Networks (VANETs), wireless-equipped vehicles form a network spontaneously while traveling along the road. The direct wireless transmission from vehicle to vehicle makes it possible for them to communicate even where there is no telecommunication infrastructure; this emerging new technology provide ubiquitous connectivity to vehicular nodes while on the move, The main idea is to provide ubiquitous connectivity to vehicular nodes while on the move, and to create efficient vehicle-to-vehicle communications that enable the Intelligent Transportation Systems (ITS). This is achieved by allowing nodes within certain ranges to connect with each other in order to exchange information. Since accident happens in split seconds, to avoid communication inefficiency, there is need for this information to get to the intended vehicle on time. To solve this problem, this work models each vehicle in a chain of others and how it responds to the traffic around it using Microscopic (also known as car-following) method for modeling traffic flow; driver- to-driver and driver-to-road interactions within a traffic stream and the interaction between a driver and another driver on road were considered. The essence of this modeling is to determine the minimum response time required for a vehicle in VANET to respond and communicate situations on the road. A simulated scenario was carried out for two vehicles, a leading vehicle and following vehicle. The result shows that with an average of 32 meters apart with average difference in velocity of 1.23m/s, a minimum of 0.9secs is required for efficient situation response communication to ensue between them.