AUTOMATED VEHICLES RISK
ASSESSMENT AND EVALUATION

Malak M. Shatnawi

Óbuda University, Doctoral School on Safety and Security Science
Budapest, Hungary

INDECS 18(3), 343-351, 2020
DOI 10.7906/indecs.18.3.3
Full text available here.
 

Received: 28th April 2019.
Accepted: 25th May 2020.
Regular article

ABSTRACT
Statistics show that the number of passenger cars is increasing significantly, which will have a negative impact on social, economic and environmental sustainability, and it will cause severe problems for the next generations. Automated Vehicles (AVs) represent an innovation in automotive technology. They have become a global concern because of their importance in smart traffic systems as well as their significant impact on safety, supposing that traffic will be more efficient and longer travel distance will not be a problem. They will become more acceptable since they will encourage living in suburbs and leaving noisy and polluted cities behind. Drivers will be more relaxed and in comfort while enjoying travel time and some extra privileges that they may have, for example, the chance for spending time more productively and efficiently at non-driving times inside the vehicle. Automated Vehicles are also beneficial for the environment. In fact, it is expected that in the next few years these cars in general will provide a solution for many problems. Researchers and planners of transportation systems are facing many challenges in the field of autonomous vehicles, as the level of safety and mobility involves such elements and circumstances which may cause that the operated travel will be less efficient than expected. The aim of the article is to discuss the challenges, threats, vulnerability, impacts and likelihood of failure faced in the development of AVs by studying information security risk management standard process, and explaining how to apply the process of International Organization for Standardization. The concept of applying ISO to AVs will be discussed here through certain processes.

KEY WORDS
autonomous vehicles, risk management, risk assessment, transportation, safety and security

CLASSIFICATION
JEL:O10, Q55


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