الفهرس 
Chapter 1 IntroductionOnly 14 pages are availabe for public view
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Abstract
Day after day Internet of Things (IOT) has become essential in our lives with a lot of research directions and technologies, one of this directions is the Intelligent Transportation System (ITS) which is important for traffic management, and safety.
One of its main points is the Vehicle-To-Vehicle (V2V) communication which is essential for the ITS full automated process as it decreases the number of hits between the vehicles and the access points on the roads. V2V is important for the developing countries which do not include Road Side Units (RSUs), so part of this dissertation; V2V research directions will be explored to sketch the current models, and to find out the advantages and challenges of implementing V2V.
Vehicle To Vehicle has been widely employed to ameliorate a variety of transportation-related issues in cities, the most significant of which being traffic congestion. The inefficient utilization of resources in vehicle infrastructure is frequently the source of a great deal of traffic congestion. Furthermore, due to its high dynamic nature, incorporating traffic congestion into vehicular traffic decision-making is difficult.
In this dissertation, a safety algorithm is applied over one of the best traditional routing protocols to overcome its disadvantages. Based on researches, the most used Mobile Ad-Hoc Network (MANET) routing protocol is the reactive one like the Ad hoc On-Demand Distance Vector (AODV) protocol. To find a path to the target, AODV floods the network with control messages. Based on that approach, the network is going to host high volume of control packets. This dissertation illustrates the implementation of a safety algorithm over AODV routing protocol. It uses Global Positioning System (GPS) coordinates to search only the region where a path to the target is likely to be found. This dissertation describes the efforts to create a hybrid model that combines a typical reactive routing protocol with a geographic one, and then smoothly integrate them in RIVERBED Modeler.