Mobility and Traffic Model Analysis for Vehicular Ad-hoc Networks

Mobility and Traffic Model Analysis for Vehicular Ad-hoc Networks

Shrirang Ambaji Kulkarni (Gogte Institute of Technology, India) and G. Raghavendra Rao (NIE Institute of Technology, India)
Copyright: © 2010 |Pages: 19
DOI: 10.4018/978-1-61520-913-2.ch011


Vehicular Ad Hoc Networks represent a specialized application of Mobile Ad Hoc Networks. Here the mobile nodes move in lanes and their mobility can be modeled based on realistic traffic scenarios. To meet the above challenge the goal of defining the mobility model for vehicular ad hoc network along with a realistic traffic pattern is an important research area. Vehicular mobility is characterized by acceleration, deceleration, possibility of different lanes and intelligent driving patterns. Also a modeling of traffic is necessary to evaluate a vehicular ad hoc network in a highway environment. The traffic model has to take into account the driver behavior in order to take decisions of when to overtake, change lanes, accelerate and decelerate. To overcome the limitation of traditional mobility models and mimic traffic models, many traffic model based simulators like CORSIM, PARAMICS and MOVE have been proposed. In this chapter we provide taxonomy of mobility models and analyze their implications. To study the impact of mobility model on routing protocol for vehicular motion of nodes we analyze the performance of mobility models with suitable metrics and study their correlation with routing protocol. We also discuss the fundamentals of traffic engineering and provide an insight into traffic dynamics with the Intelligent Driver Model along with its lane changing behavior.
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Mobility Models For Vanet: A Background

Mobility models attempt to mimic the movements of real mobile nodes. The mobility scenario thus generated can then be integrated into a network simulator to perform tasks between the nodes. A mobility model for VANET poses challenges in terms of visualizing its separation at Macroscopic and Microscopic level (Fiore M et al. 2007). The node mobility that considers streets lights, roads, building, etc. are classified as Macroscopic. The movement of vehicles and their behavior is called as Microscopic. Another way to visualize mobility model for VANET is to consider it as a constituent of two blocks: Motion Constraints and Traffic Generator. (Harri, Filali & Bonnet, 2005). Motion constraints describe how each vehicle moves and which is obtained from a topological map. Traffic generator, generates different kinds of cars and deals with interactions with cars. Traffic regulations and traffic sign considerations.

If we consider globally, the development of modern vehicular mobility models can be clustered into four different classes like the synthetic model, traffic simulator based model, survey based models and finally trace-based model (Harri J, Filali F & Bonnet C, 2007). This is illustrated in Figure 1.

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