Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis

By Christoph Sommer, Reinhard German, Falko Dressler. IEEE Transactions on Mobile Computing, 2011

1,554 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1783fdfa44bcab6c9658988aa99b1b1d09308544

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Citations in the corpus

Microscopic Traffic Simulation using SUMO (2018, neutral): “and SUMO to simulate vehicular communication [21].”
Online Auction of Cloud Resources in Support of the Internet of Things (2017, methodology): “2) IoV Traffic Trace Dataset: The IoV traffic trace was generated using Veins (Vehicles in Network Simulation) [33], which uses Omnet++,4 a network simulator, and SUMO [34], a road traffic simulator, as its principle components to simulate network traffic and mimic traffic behavior.”
Platoon management with cooperative adaptive cruise control enabled by VANET (2015, methodology): “11p protocol, the standard protocol adopted for V2V communication in Veins (Vehicles in Network Simulation) framework [36], is used for wireless communication between CACC ve-”
Routing in Internet of Vehicles: A Review (2015, background): “choose Veins [97], [98] or ITETRIS [100] because these two combine the most popular mobility model SUMO with a latest network simulator, which provides many modern features in programming.”
Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems (2017, background): “5 [42], [43] with the dedicated network simulation (Veins) packet [43].”
A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches (2015, background): “The most known platforms are Veins [92] which is based on OMNeT++ and Simulation of Urban Mobility (SUMO) and Integrated Wireless and Traffic Simulation Platform for Real-”
A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy (2019, methodology): “possible to generate movement traces on the fly and allow network simulation to influence mobility simulation [107].”
A computationally inexpensive empirical model of IEEE 802.11p radio shadowing in urban environments (2011, background): “Recently, much progress has been achieved in this field with respect to making such simulations more realistic, thus, providing more insights into the behavior of Vehicular Ad Hoc Networks (VANETs) [1], [2].”
AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling (2017, methodology): “We simulated IEEE 802.11p DSRC using the Omnet++ [32] simulator, together with Veins [33], a network framework for 802.11p.”
A Joint Control–Communication Design for Reliable Vehicle Platooning in Hybrid Traffic (2017, methodology): “In our experiments, we choose the Veins simulator [38], which combines OMNeT++ for event-driven network simulation and SUMO for the generation of traffic environment and vehicle movement.”