Design and Implementation of Urban Vehicle Positioning System Based on RFID, GPS and LBS

Qian, Cong; Xu, He; Wang, Yizhuo

doi:10.1007/978-3-319-61566-0_55

Cited by 3 publications

(1 citation statement)

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“…Previously listed methods allow for the design of an effective hybrid system meeting the necessary security requirements and being both accurate and fast in determining the location [83]. A number of experiments have already been carried out, proving the benefits of such utilization [84,85].…”

Section: Vehicle Location Protocols Using Additional Informationmentioning

confidence: 99%

Positioning Information Privacy in Intelligent Transportation Systems: An Overview and Future Perspective

Ometov

Bezzateev

Давыдов

et al. 2019

Sensors

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Today, the Intelligent Transportation Systems (ITS) are already in deep integration phase all over the world. One of the most significant enablers for ITS are vehicle positioning and tracking techniques. Worldwide integration of ITS employing Dedicated Short Range Communications (DSRC) and European standard for vehicular communication, known as ETSI ITS-G5, brings a variety of options to improve the positioning in areas where GPS connectivity is lacking precision. Utilization of the ready infrastructure, next-generation cellular 5G networks, and surrounding electronic devices together with conventional positioning techniques could become the solution to improve the overall ITS operation in vehicle-to-everything (V2X) communication scenario. Nonetheless, effective and secure communication protocols between the vehicle and roadside units should be both analyzed and improved in terms of potential attacks on the transmitted positioning-related data. In particular, said information might be misused or stolen at the infrastructure side conventionally assumed to be trusted. In this paper, we first survey different methods of vehicle positioning, which is followed by an overview of potential attacks on ITS systems. Next, we propose potential improvements allowing mutual authentication between the vehicle and infrastructure aiming at improving positioning data privacy. Finally, we propose a vision on the development and standardization aspects of such systems.

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Section: Vehicle Location Protocols Using Additional Informationmentioning

confidence: 99%