Publication 2014 Issue No. 5 - May Abstract - Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset
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Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset
May 2014 (vol. 13 no. 5)
pp. 1-1
 ASCII Text x Marco Fiore, Jose M. Barcelo-Ordinas, Oscar Trullols-Cruces, Sandesh Uppoor, "Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset," IEEE Transactions on Mobile Computing, vol. 13, no. 5, pp. 1-1, May, 2014.
 BibTex x @article{ 10.1109/TMC.2013.27,author = {Marco Fiore and Jose M. Barcelo-Ordinas and Oscar Trullols-Cruces and Sandesh Uppoor},title = {Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset},journal ={IEEE Transactions on Mobile Computing},volume = {13},number = {5},issn = {1536-1233},year = {2014},pages = {1-1},doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2013.27},publisher = {IEEE Computer Society},address = {Los Alamitos, CA, USA},}
 RefWorks Procite/RefMan/Endnote x TY - JOURJO - IEEE Transactions on Mobile ComputingTI - Generation and Analysis of a Large-Scale Urban Vehicular Mobility DatasetIS - 5SN - 1536-1233SP1EP1EPD - 1-1A1 - Marco Fiore, A1 - Jose M. Barcelo-Ordinas, A1 - Oscar Trullols-Cruces, A1 - Sandesh Uppoor, PY - 2014KW - RoadsKW - VehiclesKW - MicroscopyKW - Urban areasKW - Global Positioning SystemKW - Cities and townsKW - TopologyKW - Mobile environmentsKW - Computer Systems OrganizationKW - Communication/Networking and Information TechnologyKW - Network Architecture and DesignKW - Wireless communicationKW - Mobile ComputingKW - epidemic disseminationKW - Vehicular mobilityKW - scenario generationKW - network connectivityVL - 13JA - IEEE Transactions on Mobile ComputingER -
Marco Fiore, , CNR-IEIIT and Inria, Torino, Italy
Jose M. Barcelo-Ordinas, , Universitat Politècnica de Catalunya, Barcelona, Spain
Oscar Trullols-Cruces, , Universitat Politècnica de Catalunya, Barcelona, Spain
Sandesh Uppoor, , INSA Lyon and Inria, Lyon, France
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- ${\rm km}^{2}$ 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.
Index Terms:
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:
Marco Fiore, Jose M. Barcelo-Ordinas, Oscar Trullols-Cruces, Sandesh Uppoor, "Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset," IEEE Transactions on Mobile Computing, vol. 13, no. 5, pp. 1-1, May 2014, doi:10.1109/TMC.2013.27