Reconsidering the Cybersecurity Framework in the Road Transportation Domain

Abstract

The Automotive Industry has advanced significantly and this process is constantly continuing. Cars are controlled by hundreds of electrical units, which affects directly numberless safety and security related risk factors, especially considering incidents realized in the cyberspace. Due to the increasing number of connected cars, new testing facilities and methods need to be established, to support the solutions, for these novel challenges. For this reason, the Hungarian government has founded the Zalaegerszeg test track, and its special purpose is to provide space for the validation of future vehicles. The overview focused on the presently applied validation methods and processes has highlighted, that cybersecurity related testing methodsfrom a scientific point of vieware only slightly detailed in the sector of Automobile Industry. In a sector specific term, the lack of a holistic approach, may result a relevant barrier, in the future, for providing a socially tolerable level of cybersecurity. Accordingly, this paper aims to introduce a comprehensive cybersecurity reference model, to provide a solid basis for describing attack patterns and characterizing malicious intervention profiles.

Macroscopic Traffic Simulation of Autonomous Vehicle Effects

“…Cooperative Intelligent Transportation System (C-ITS) communication among vehicles (V2V), infrastructure (V2I and I2V) and central traffic system (C2I) is also a significant factor to consider in improving the operation of highly automated vehicles [18,19]. V2X communications proved that it could provide local traffic flow stability, significantly smoothen the shock waves of traffic flow and reduce emissions [20,21].…”

A Comprehensive Emissions Model Combining Autonomous Vehicles with Park and Ride and Electric Vehicle Transportation Policies

“…Another aspect of eco-driving is using navigation systems to improve fuel consumption. The shortest or fastest route is not always the best choice in fuel consumption and emissions [14,39,40]. Ericsson et al's study found that 46% of driver-chosen journeys were not the most fuel-efficient routes, and using fuel-optimized navigation systems saved up to 8.2% in fuel consumption [41].…”