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City-wide Modeling of Vehicular Communication within Intelligent Transportation Systems

Ahmed Elbery

Bio - Ahmed Elbery is a postdoctoral research fellow in the Center for Sustainable Mobility (CSM) at the Virginia Tech Transportation Institute (VTTI). He received the B.Sc. degree (with honors) in Electrical and Computer Engineering from the Department of Electrical Engineering, Benah University, Egypt, and received the M.Sc. degree in Electronic Engineering from the Department of Electronic Engineering, Menoufia University, Egypt. He received his Ph.D. degree in Computer Science form the Virginia Tech, USA. His research interests include communication and data networking, wireless and vehicular communication, ITS, simulation and modeling of large-scale vehicular networks in smart cities, eco-routing navigation systems. He was a senior network engineer and has numerous network and communication certificates from different vendors including Cisco, Juniper, and Huawei-3Com. He also has network instructor certificates from Juniper, JNCIA, and JNCIS Junos Enterprise Routing and Switching track. He is a Cisco Academy instructor for CCNA, CCNA wireless, and CCNA Security. He has been teaching network classes for about 8 years.

Abstract
The vehicular ad hoc network (VANET) is a communication infrastructure in smart cities that exchanges data between network entities such as vehicles, Road Side Unites (RSUs), mobile devices, and a Traffic Management Centers (TMCs). The performance of this communication network, in terms of packet delay and drop rate, can significantly affect the performance of ITS applications (i.e., safety, cooperative driving, route assignment applications, etc.). On the other hand, the performance of VANET is also affected by the vehicles’ mobility such as the location and number of communicating vehicles. Consequently, modeling such systems is critical to study the mutual interdependency between the communication system and ITS applications. A major challenge that hinders the modeling of such systems is the scale on which ITS works which, in most cases, covers a city-level road network. Moreover, the complexity and the mutual interdependency of both the communication and transportation systems constitutes another challenge.
In this presentation, we introduce a new scalable and computationally fast framework for large-scale modeling of communication systems within vehicular networks. This model enables the mutual impact and interaction of the communication and transportation systems to be studied. The model utilizes a realistic communication model that we developed, validated. The communication model uses Markov chains and M/M1/K queuing model to represent the medium access technique in VANET. After validating the mode, it was implemented in a microscopic traffic simulation environment and used to study the impact of communication on the performance of an ITS eco-routing application in downtown Los Angles which is about 133Km2 and about 56000 vehicles.
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Wireless Seminar Series
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Wireless @ Virginia Tech Seminar Series
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