Designing Privacy-Aware Intelligent Transport Systems: A Roadmap for Identifying the Major Privacy Concepts

Designing Privacy-Aware Intelligent Transport Systems: A Roadmap for Identifying the Major Privacy Concepts

Christos Kalloniatis, Dimitris Kavroudakis, Amalia Polidoropoulou, Stefanos Gritzalis
Copyright: © 2019 |Pages: 19
DOI: 10.4018/IJAGR.2019010104
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Abstract

Intelligent transport systems (ITSs) play a key role in people's daily activities. ITSs significantly improve mobility offering a variety of services to a vast number of users that increase on a daily basis, as more and new services are introduced. These services are based on advanced information and communication technologies (ICTs) and rely strongly on connectivity and computing resources. However, technical vulnerabilities of the technologies used in ITS, as well as the increase in users' awareness has brought security and privacy concerns to the forefront. This article aims at identifying a set of privacy concepts that provide the bases for designing trustworthy ITS services identifying possible threats and users' privacy concerns. A key contribution of the article is a roadmap that presents in detail how for every ITS function corresponding to privacy concepts can be realized for overcoming specific threats and users' privacy concerns in a smart city context.
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Smart Cities And Intelligent Transport Systems

Smart Cities

The concept of smart urban spaces originated from the time when cities started facing problems of efficiency in sectors such as transport, health and environment. Smart cities are cities that utilise information and technologies for effective and intelligent usage of resources resulting in cost and energy savings, improved quality of life and reduced environmental footprint (Cohen, 2011). The concept of smart city is not static but rather a process by which cities become more liveable, resilient and responsive to new challenges. Recently a rising number of papers address issues regarding smart cities. Neirotti et al. (2014) present current trends in Smart City initiatives. Kramers et al. (Kramers et al., 2014) explore ICT solutions for reduced energy use in cities. Al-Hader et al. in (Al-Hader et al., 2009) discuss about development and monitoring of smart-city infrastructure. Nuaimi et al. in (Nuaimi et al., 2015) analyse applications of Big Data to smart cities while Batty in (Batty, 2013) and Goulias in (Goulias, 2015) set the case for big data in smart cities and city planning. Kavroudakis in (Kavroudakis, 2015) presents a methodology for constructing micro-data for smart decision-making. Furthermore, in (Kavroudakis et al., 2012, 2013) Kavroudakis et al. demonstrate the use of spatial microsimulation approaches for understanding population inequalities for smart policy evaluation in a smart city context.

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