Statistical Probability Evaluation of Operating Its

Abstract

Abstract. Intelligent Transport Systems (ITS) work with information and control technologies providing the core of ITS functions. Some of these technologies like loop detectors are well known to transportation professionals. However, there are a number of less familiar technologies and system concepts that are keys to ITS functions. Although information and control technologies act as a technical core of ITS, human factors also remain vitally important and potentially very complex issues.e process of operating ITS is in uenced by a number of random factors. Along with an assessment of dependence upon separate random factors, the classi cation of those in the whole hierarchical structure of operating ITS is presented. Statistical information on operating ITS is renewed and replenished in the course of time. With the growth of information amounts, the costs of storing them also increase. erefore, the article presents relevant algorithms for obtaining required statistical assessments with the least statistical information. It is deduced that while modelling the process of operating ITS, an analytical description of random factors applying non-parametric assessment is suitable.

Intelligent transport systems and regional digital convergence in Greece

“…This is because the approaches for the socio-economic evaluation of ITS investments should be different than those normally adopted for assessing the returns of road, rail or other physical infrastructure investments (Banister and Thurstain-Goodwin, 2011). Since the deployment of ITS is pertaining to uncertainty and is influenced by a number of random factors, probabilistic approaches and simulation methods are required for the comprehensive evaluation and risk assessment of their operation (Khan, 2009;Stathopoulos and Tsekeris, 2009;Baublys and Jarašūnienė, 2010).…”