Inferring trip destinations from driving habits data
Inferring trip destinations from driving habits data
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DOI：
10.1145/2517840.2517871
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发表时间：
2013-11
期刊：
影响因子：
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通讯作者：
Rinku Dewri;Prasad Annadata;Wisam Eltarjaman;R. Thurimella
中科院分区：
文献类型：
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作者：
Rinku Dewri;Prasad Annadata;Wisam Eltarjaman;R. Thurimella
随着基于车载远程信息处理的解决方案在汽车保险和驾驶辅助服务等消费市场的流行，收集驾驶习惯数据的势头正在增强。这些解决方案依赖于行驶时间、速度和制动等驾驶特征来评估事故风险和驾驶员安全。考虑到围绕个人地理跟踪的隐私问题，许多解决方案明确声称不会记录客户的GPS坐标。虽然揭示驾驶习惯可以让我们获得一些创新产品，但我们认为，这些数据的披露只是提供了一种虚假的隐私感。使用真实驾驶旅程的速度和时间数据，我们表明旅行目的地也可以在不需要记录GPS坐标的情况下确定。基于此，我们认为客户在非跟踪远程信息处理应用中的隐私期望需要重置，并且需要实施新的政策来告知客户可能存在的风险。
The collection of driving habits data is gaining momentum as vehicle telematics based solutions become popular in consumer markets such as auto-insurance and driver assistance services. These solutions rely on driving features such as time of travel, speed, and braking to assess accident risk and driver safety. Given the privacy issues surrounding the geographic tracking of individuals, many solutions explicitly claim that the customer's GPS coordinates are not recorded. Although revealing driving habits can give us access to a number of innovative products, we believe that the disclosure of this data only offers a false sense of privacy. Using speed and time data from real driving trips, we show that the destinations of trips may also be determined without having to record GPS coordinates. Based on this, we argue that customer privacy expectations in non-tracking telematics applications need to be reset, and new policies need to be implemented to inform customers of possible risks.