This paper presents a microscopic traffic simulation-based method for urban traffic state estimation using Assisted Global Positioning System (A-GPS) mobile phones. In this approach, real-time location data are collected by A-GPS mobile phones to track vehicles traveling on urban roads. In addition, tracking data obtained from individual mobile probes are aggregated to provide estimations of average road link speeds along rolling time periods. Moreover, the estimated average speeds are classified to different traffic condition levels, which are prepared for displaying a real-time traffic map on mobile phones. Simulation results demonstrate the effectiveness of the proposed method, which are fundamental for the subsequent development of a system demonstrator.
Increasing smartphone penetration, combined with the wide coverage of cellular infrastructures, renders smartphonebased traffic information systems (TISs) an attractive option. The main purpose of such systems is to alleviate traffic congestion that exists in every major city. Nevertheless, to reap the benefits of smartphone-based TISs, we need to ensure their security and privacy and their effectiveness (e.g., accuracy). This is the motivation of this paper: We leverage state-of-the-art cryptographic schemes and readily available telecommunication infrastructure. We present a comprehensive solution for smartphone-based traffic estimation that is proven to be secure and privacy preserving. We provide a full-blown implementation on actual smartphones, along with an extensive assessment of its accuracy and efficiency. Our results confirm that smartphone-based TISs can offer accurate traffic state estimation while being secure and privacy preserving.
Traffic monitoring systems deployed until now, use data collected mainly through fixed sensors. Advances on the modern mobile devices have made possible the development of Smart Traffic Systems, which use the traffic information gathered by the drivers' mobile devices to provide route guidance. Our work is focused on building a Real-Time Traffic Information System based mobile devices, which are used for both acquiring traffic information data and for providing feedback and guidance to drivers. This paper presents an analysis of the system, its security risks and requirements for dynamic route guidance together with possible solutions. A key component of the system is the mobile application that gathers data in an encrypted way and displays information to the users. The developed JavaME mobile application and its security/privacy features are also described.
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