Meeting privacy challenges while advancing intelligent transportation systems

A private matter: the implications of privacy regulations for intelligent transportation systems

“…Many municipalities have chosen not to employ red-light camera enforcement due to privacy concerns and lack of legal guidance. A survey of agencies by Fries et al (2012) found similarly varying responses to the use of GPS by law enforcement, as well as guidelines for the treatment and storage of surveillance data. Thirty-nine percent of survey respondents expressed the view that privacy concerns, either real or perceived, were the primary impediment to successful implementation of vehicle mile tolling systems.…”

“…Eighty-seven percent of survey respondents wanted control over what personal information is shared and how it is being used (Sapienza 2012). 13 Privacy concerns vary from person to person and are largely dependent on (1) the personal nature of the data collected, (2) user perceptions of the technology used to collect data, (3) trust in whoever is collecting the information, (4) the specific party collecting the information, (5) the stated reasons for collecting data, and (6) who else may have access to the data (Fries et al 2012). Given this, we draw on the literature to identify below factors that help explain the likely level of consumer privacy concerns with ITS-particular technologies.…”

“…Douma and Aue (2011) suggest that implied consent may ultimately prove an effective schema for ITS, since implied consent is often sufficient when the states' interests are preventing injury, property loss, or loss of life. Fries et al (2012) further suggest that implied consent for ITS technologies that advance safety aims should be tied to driver licensing requirements (much as drivers currently are deemed to give their implied consent to obey traffic officer requests for driving under the influence tests). But such an approach may not prove sufficient for ITS applications with other aims, such as transportation system efficiency, congestion mitigation, and emissions reductions, despite their substantial collective benefits.…”

The Value of Privacy: Evidence From the Use of Mobile Devices for Traveler Information Systems

“…Relying on only one of these approaches is not guaranteed to ensure the privacy of the users (or even their perception of privacy). Fries, Chowdhury, and Gahrooel (2011) present an analysis of maintaining privacy while advancing ITS. Privacy is not a new concern, but has been considered in relation to automated data collection in the context of Advanced Traveler Information Systems (ATIS) from early on (e.g., Schofer, Khattak, & Koppelman, 1993).…”

On confidentiality preserving monitoring of linear dynamic networks against inference attacks

“…By using information theory and hidden Markov models, the authors in [21] provide a novel privacy-utility tradeoff of smart meter data. Besides the smart grid, the research has also been devoted to study M user privacy of intelligent transportation systems [13] and smart buildings [4], [18]. However, this set of work does not explicitly consider physical dynamics.…”