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    @Article{OJIOT_2021v7i1n05_Loseto,
        title     = {A Mobile and Web Platform for Crowdsourcing OBD-II Vehicle Data},
        author    = {Giuseppe Loseto and
                     Filippo Gramegna and
                     Agnese Pinto and
                     Michele Ruta and
                     Floriano Scioscia},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {43--58},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919332057007441},
        urn       = {urn:nbn:de:101:1-2021082919332057007441},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {On-Board Diagnostics 2 (OBD-II) protocol allows monitoring vehicle status parameters. Analyzing them is highly useful for Intelligent Transportation Systems (ITS) research, applications and services. Unfortunately, large-scale OBD datasets are not publicly available due to the effort of producing them as well as due to competitiveness in the automotive sector. This paper proposes a framework to enable a worldwide crowdsourcing approach to the generation of OBD-II data, similarly to OpenStreetMap (OSM) for cartography. The proposal comprises: (i) an extension of the GPX data format for route logging, augmented with OBD-II parameters; (ii) a fork of an open source Android OBD-II data logger to store and upload route traces, and (iii) a Web platform extending the OSM codebase to support storage, search and editing of traces with embedded OBD data. A full platform prototype has been developed and early scalability tests have been carried out in various workloads to assess the sustainability of the proposal.}
    }