Repositori URV

Identifier: TDX:1730

Handle: https://hdl.handle.net/20.500.11797/TDX1730

Authors:
Jardí Cedó, Roger

Abstract:
Over the last century, vehicles have become the means of transport par excellence. The widespread vehicle adoption by our societies has been a revolution in terms of social interactions and economy. They undoubtedly bring many benefits, but they also entail some drawbacks such as an increase of traffic congestion and air pollution. Recently, the aggravation of these problems in urban areas and the emergence of the Information and Communication Technologies have led to solutions such as the deployment of Electronic Road Pricing (ERP) systems. The main purpose of these systems is to restrict the access of vehicles to certain city areas, named Low Emission Zones (LEZ), for which a toll is assessed according to traffic conditions and vehicle emissions. Since their adoption, these solutions have proven to be quite promising. However, current proposals are still far from being ideal. While reducing congestion to some extent, they exhibit several shortcomings. They still introduce a significant error percentage in the detection of fraudulent drivers. Moreover, they usually require toll systems to be equipped with cameras that take pictures of all the vehicles that pass through the control points, which may represent a serious privacy threat. This thesis aims at providing security and privacy to new LEZs. Two new urban ERP systems have been proposed with the aim of detecting fraud while preserving drivers’ privacy. They provide a deterministic fraud control and revocable anonymity for vehicles that misbehave. Both proposals allow to disperse traffic from areas with high traffic density with the aim of reducing the pollutant emissions. In the first proposal, drivers pay depending on the duration of the stay in the LEZ. In the second proposal, drivers pay according to the path th