Risk identification of implementation of ITS to real traffic
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Date
2020-03-20
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Mark
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Elsevier
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Abstract
Intelligent Transportation System is one of the concepts of modern sustainable transport in Smart Cities, which increases flow and safety of road traffic with use of information and communication technologies. The use of smart technologies such as Internet of Things, BigData, Artificial Intelligence and so on, requires strengthening or even creating a new communication infrastructure in the field of traffic. This paper discusses the risks of ITS implementation by analyzing the current state, identifying the key risk factors and showing possibilities in reduction of these risk using system methodology. It can be assumed that this transformation will be time-consuming, not only in policy and construction areas, but also in putting these systems into operation. In this meantime, when smart and non-smart systems will come in contact, there should be expected risk situations,
that could cause difficulties for large-scale ITS to emerge, for example for large cities. An important part is also early awareness of the population which is affected by the situation of putting the system into operation, especially trainings for professional drivers. A participant in traffic, who are not affected by smart technologies as so-called “internet generation“ should be taken into account, as possible source of risk situations. Determining the potential risks on all the above-mentioned case is a current problem because of the rapid development and onset of ITS.
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Citation
Transportation Research Procedia. 2020, vol. 45, issue 1, p. 787-794.
https://www.sciencedirect.com/science/article/pii/S2352146520301435
https://www.sciencedirect.com/science/article/pii/S2352146520301435
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Peer-reviewed
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en
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/