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Proceedings of the 16th International IEEE Annual Conference on MoD5.3 Intelligent Transportation Systems (ITSC 2013), The Hague, The Netherlands, October 6-9, 2013 第16届国际学报IEEE mod5.3年会智能交通系统(ITSC 2013),海牙,荷兰,2013年10月6 - 9, OBDII Data Logger Design for Large-Scale Deployments* OBDII数据记录器大规模设计 Kristian Smith1 and Jeffrey Miller2 Abstract— The basis for this research involves logging various sensor data from a large sample population of automobiles. The device necessary for such a task has to be capable of streaming On-Board Diagnostics and real-time GPS coordinates to a remote server for data logging. After discovering a multitude of web-based companies currently designing OBD tools, it became evident that the market was flooded with devices focused primarily on localized data logging versus remote logging for a large scale deployment. This led to a decision of compiling a device using the Arduino framework due to its affordability, support network, and overall adaptability. Using an Arduino Uno microprocessor, we were able to integrate GPS and GSM cellular shields for location and data streaming, respectively. An OBDII board was also obtained to access vehicle sensor data and other diagnostic information. The primary benefits of the proposed device include full access to any data available through OBDII/CAN protocols, and adaptability for on-device data processing and/or cellular transmission. With this tool, many future research opportunities arise including those in the fields of regional emissions analysis (our current focus), auto-mated road condition notification, and adaptive maintenance strategies. 摘要——这项研究这能够车诊断和GPS坐标远程服务器进行数据记录。发现大量的互联网公司目前设计OBD工具,主要集中在局部数据记录大规模部署和远程。这编译一个使用Arduino框架设备其负担能力,网络,和整体适应性。使用一个Arduino Uno微处理器,我们能够集成GPS和GSM位置别。一个OBDII也获得车辆传感器数据和其他诊断信息。该装置的主要优点包括可以通过OBDII /协议访问任何数据,。这个工具,许多未来的研究会领域排放分析(我们当前的重点),道路条件,和维护策略。 I. INTRODUCTION The ability to apply locality and time to vehicle data proves itself t