${\rm km}^{2}$ region around the city of Köln, in Germany. We describe the generation process and outline how the dataset improves the traces currently employed for the simulative evaluation of vehicular networks. We also show the potential impact that such a comprehensive mobility dataset has on the network protocol performance analysis, demonstrating how incomplete representations of vehicular mobility may result in over-optimistic network connectivity and protocol performance." /> ${\rm km}^{2}$ region around the city of Köln, in Germany. We describe the generation process and outline how the dataset improves the traces currently employed for the simulative evaluation of vehicular networks. We also show the potential impact that such a comprehensive mobility dataset has on the network protocol performance analysis, demonstrating how incomplete representations of vehicular mobility may result in over-optimistic network connectivity and protocol performance." /> ${\rm km}^{2}$ region around the city of Köln, in Germany. We describe the generation process and outline how the dataset improves the traces currently employed for the simulative evaluation of vehicular networks. We also show the potential impact that such a comprehensive mobility dataset has on the network protocol performance analysis, demonstrating how incomplete representations of vehicular mobility may result in over-optimistic network connectivity and protocol performance." /> Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset
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Issue No.05 - May (2014 vol.13)
pp: 1061-1075
Sandesh Uppoor , Inria, INSA Lyon, Lyon, France
Oscar Trullols-Cruces , Univ. Politec. de Catalunya, Barcelona, Spain
Marco Fiore , IEIIT, Turin, Italy
Jose M. Barcelo-Ordinas , Univ. Politec. de Catalunya, Barcelona, Spain
ABSTRACT
The surge in vehicular network research has led, over the last few years, to the proposal of countless network solutions specifically designed for vehicular environments. A vast majority of such solutions has been evaluated by means of simulation, since experimental and analytical approaches are often impractical and intractable, respectively. The reliability of the simulative evaluation is thus paramount to the performance analysis of vehicular networks, and the first distinctive feature that has to be properly accounted for is the mobility of vehicles, i.e., network nodes. Notwithstanding the improvements that vehicular mobility modeling has undergone over the last decade, no vehicular mobility dataset is publicly available today that captures both the macroscopic and microscopic dynamics of road traffic over a large urban region. In this paper, we present a realistic synthetic dataset, covering 24 hours of car traffic in a 400-km2 region around the city of Köln, in Germany. We describe the generation process and outline how the dataset improves the traces currently employed for the simulative evaluation of vehicular networks. We also show the potential impact that such a comprehensive mobility dataset has on the network protocol performance analysis, demonstrating how incomplete representations of vehicular mobility may result in over-optimistic network connectivity and protocol performance.
INDEX TERMS
protocols, mobile communication,time 24 hour, large-scale urban vehicular mobility dataset, vehicular networks, network nodes, vehicular mobility modeling, macroscopic dynamics, microscopic dynamics, road traffic, Köln, Germany,Roads, Vehicles, Microscopy, Urban areas, Global Positioning System, Cities and towns, Topology,Mobile environments, Computer Systems Organization, Communication/Networking and Information Technology, Network Architecture and Design, Wireless communication, Mobile Computing,epidemic dissemination, Vehicular mobility, scenario generation, network connectivity
CITATION
Sandesh Uppoor, Oscar Trullols-Cruces, Marco Fiore, Jose M. Barcelo-Ordinas, "Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset", IEEE Transactions on Mobile Computing, vol.13, no. 5, pp. 1061-1075, May 2014, doi:10.1109/TMC.2013.27