Efficiency of Simulated Vehicle-to-Vehicle Message Propagation in Atlanta, Georgia, I-75 Corridor

Wu, Hao; Lee, Jaesup; Hunter, Michael; Fujimoto, Richard M.; Guensler, Randall; Ko, Joonho

doi:10.3141/1910-10

Cited by 45 publications

(24 citation statements)

References 17 publications

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“…No interaction is therefore possible between the network simulator and the mobility model. A different approach, taken by Prof. Fujimoto and his group in Georgia Tech [28] is to generate a simulation infrastructure composed of two independent commercial simulation packages running in a distributed fashion over multiple networked computers. They federated a validated traffi c simulator, CORSIM, with a state-ofthe-art network simulator, QualNet, using a distributed simulation software package called the Federated Simulations Development Kit (FDK) [29] that provides services to exchange data and synchronize computations.…”

Section: Mobility Models and Network Simulators: The Nonspeaking Talkmentioning

confidence: 99%

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Härri

Filali

Bonnet

2009

IEEE Commun. Surv. Tutorials

619

304

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Vehicular Ad-hoc Networks (VANETs) have been recently attracting an increasing attention from both research and industry communities. One of the challenges posed by the study of VANETs is the definition of a generic mobility model providing an accurate, realistic vehicular mobility description at both macroscopic and microscopic levels. Today, most mobility models for vehicular studies only consider a limited macro-mobility, involving restricted vehicles movements, while little or no attention is paid to micro-mobility and its interaction with the macro-mobility counterpart. On the other hand, the research community cannot have access to realistic traffic generator which have not been designed to collaborate with network simulators. In this paper, we first introduce a classification of existing methods for the generation of vehicular mobility models, then we describe the various approaches used by the community for realistic VANET simulations. Finally, we provide an overview and comparison of a large range of mobility models proposed for vehicular ad hoc networks.

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Section: Mobility Models and Network Simulators: The Nonspeaking Talkmentioning

confidence: 99%

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Härri

Filali

Bonnet

2009

IEEE Commun. Surv. Tutorials

619

304

View full text Add to dashboard Cite

show abstract

“…No interaction is therefore possible between the network simulator and the mobility model. A different approach, taken by Prof. Fujimoto and his group in Georgia Tech [5] is to generate a simulation infrastructure composed of two independent commercial simulation packages running in a distributed fashion over multiple networked computers. They federated a validated traffic simulator, CORSIM, with a state of the art network simulator, QualNet, using a distributed simulation software package called the Federated Simulations Development Kit (FDK) [6] that provides services to exchange data and synchronize computations.…”

Section: Related Workmentioning

confidence: 99%

Simulators for VANET

Nampally¹

2017

IJRASET

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VANET system would behave under different conditions.It is known that networking and mobility component are required to form a VANET. Continuous increased of on-road vehicles has also increased the possibility of accidents, most of it caused by human errors. Hence, a solution has been proposed, which is to make vehicles more intelligent through research on vehicular ad hoc networks (VANETs). Researchers and developers have built VANET simulation software to allow the study and evaluation of various media access, routing, and emergency warning protocols. MATLAB and Simulation of Urban Mobility (SUMO) are further used for VANET simulation respectively. At the same time, TraCI4Matlab, an Application Programming Interface (API) developed in MATLAB that allows communication between any applications written in MATLAB and SUMO simulator is also discussed. Absence of road traffic safety takes a toll of precious human lives and poses a dire threat to our environment as well. Moreover, we present results of our proposed algorithm secure key exchange in NS2 simulator. Keywords: VANET, Simulator, Taxonomy, Attraction point, Lane Changing, Topology and GUI. I. INTRODUCTIONVehicular Ad-hoc Networks (VANETs) represent a rapidly emerging, particularly challenging class of Mobile Ad Hoc networks (MANETs). On a highway a vehicle cannot currently predict the speed of other vehicles. However, with use of sensor, computer and wireless communication equipment, speed could be predicted and a warning message sent every 0.5 seconds could limit the risk of potential accidents. An automated tool called simulation can imitate the protocol and yield a similar result to that of the real world. Simulator tool has been preferred over outdoor experiment because it simple, easy and cheap. VANET requires that a traffic and network simulator should be used together to perform this test. Prior to the implementation of VANETs on the roads, realistic simulations of VANETs using simulators are necessary. It is a technique whereby a software program models the behavior of a network either by calculating the interaction between the different network entities (routers, switches, nodes, access points, links etc.). Users customize the simulator to fulfill their specific analysis needs. Most simulators use discrete event simulation i.e. the modelling of systems in which state variables change at discrete points in time. The behavior of the network and the various applications and services it supports can then be observed in a test lab; various attributes of the environment can also be modified in a controlled manner to assess how the network / protocols would behave under different conditions. We have classified existing VANET simulation software into three different categories. They are (a) vehicular mobility generators, (b) network simulators, and (c) VANET simulators. This paper presents a comprehensive study and comparisons of the various publicly available VANET simulation software and their components and we see secure key exchange results w...

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“…A different integration approach is the direct coupling of separated traffic and wireless simulation platforms. This approach was adopted in [13] using CORSIM (http://mctrans.ce.ufl.edu/featured/tsis/version5/corsim.htm) and QualNet (http://www.scalablenetworks.com/products/qualnet/), and in [14] using VISSIM (http://www.vissim.de/) and ns-2 (http://www.isi.edu/nsnam/ns/).…”

Section: State Of the Artmentioning

confidence: 99%

“…However, QualNet, CORSIM and VISSIM are commercial platforms that, although ensuring higher modelling accuracy, provide less freedom or even compromise the possibility to integrate new cooperative ITS features over the solutions presented in [13] and [14]. In this context, TraNS (http://lca.epfl.ch/projects/trans) was the first attempt combining two independent open source traffic and wireless simulators, namely SUMO (http://sumo.sf.net/) and ns-2 [15].…”

Section: State Of the Artmentioning

confidence: 99%

iTETRIS: A modular simulation platform for the large scale evaluation of cooperative ITS applications

Rondinone

Maneros

Krajzewicz

et al. 2013

Simulation Modelling Practice and Theory

116

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Cooperative ITS systems are expected to improve road traffic safety and efficiency, and provide infotainment services on the move, through the dynamic exchange of messages between vehicles, and between vehicles and infrastructure nodes. The complexity of cooperative ITS systems and the interrelation between its components requires their extensive testing before deployment. The lack of simulation platforms capable to test, with high modelling accuracy, cooperative ITS systems and applications in large scale scenarios triggered the implementation of the EU-funded iTETRIS simulation platform. iTETRIS is a unique open source simulation platform characterized by a modular architecture that allows integrating two widely adopted traffic and wireless simulators, while supporting the implementation of cooperative ITS applications in a language-agnostic fashion. This paper presents in detail the iTETRIS simulation platform, and describes its architecture, standard compliant implementation, operation and new functionalities. Finally, the paper demonstrates iTETRIS large scale cooperative ITS evaluation capabilities through the implementation and evaluation of cooperative traffic congestion detection and bus lane management applications. The detailed description and implemented examples provide valuable information on how to use and exploit iTETRIS simulation potential.

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Efficiency of Simulated Vehicle-to-Vehicle Message Propagation in Atlanta, Georgia, I-75 Corridor

Cited by 45 publications

References 17 publications

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Simulators for VANET

iTETRIS: A modular simulation platform for the large scale evaluation of cooperative ITS applications

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