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Performance Analysis Of Vehicular Communication Networks In Dynamic Traffic Flow

Posted on:2011-06-06Degree:MasterType:Thesis
Country:ChinaCandidate:W LuFull Text:PDF
GTID:2178360308955336Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
As a new research direction in Intelligent Transportation Systems (ITS), vehicular communication systems (VCN) have a significant value on the application of driving safety, reducing the traffic accidents and improving the comfort of driving. Vehicle mobility models are the foundation of VCN. Meanwhile, the information acquired from VCN also plays an important role in changing the driving behaviors. In order to implement the combination of traffic simulation and communication networks simulation, we research on traffic simulation and wireless networks simulation respectively. Also, we combine the Simulation of Urban Mobility (SUMO) and Network Simulator v2 (NS-2) to generate vehicle mobility model in vehicular communication networks scenario and analyze the performance of VCN. The results can be used as reference in the standardization and application of VCN. The main contribution of this thesis is listed as following:1. We study the performance of different routing protocols in inter-vehicle communication systems with NS-2. Through comparison of Packet delivery fraction, Average end-to-end delay of data packets and arriving time of the first data packet, we choose a proper routing protocol which is suitable for inter-vehicle communication systems simulation.2. We propose a methodology to implement vehicle-to-roadside communication systems in NS-2. Through evaluating the performance of this combined network with throughput, we point out the practicability of simulating vehicle-to-roadside communication networks.3. We design a road topology network with four crosses in TraNS and generate a random traffic flow and a uniform traffic flow. We study the performance of VCN in these two different scenarios. Meanwhile, we implement a realistic road topology network with Manhattan map and analyze the influence of different vehicle number, the maximum data flows in a network and the ratio of sending packets on the performance of vehicular communication networks.
Keywords/Search Tags:vehicular communication networks, traffic flow, vehicle mobility models, network simulator, packet delivery fraction, average end-to-end delay, arriving time of the first data packet
PDF Full Text Request
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