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Since ancient times human lives pulsed between two poles- moving and stationmy. Moving as element of functioning issupplemented by standing. Today, when modem life in cities isbased on using passenger cars as the dominant means of mobility,the explosion of their number is the generator of the growingproblems both of the moving and of the stationary traffic. Consideringparking as direct product of the moving traffic, usuallyits negative characteristics are mentioned such as greater volumeof parking, fines, legal-regulative and safety aspects, degradationof other swfaces by the parked vehicles, etc. Never oralmostnever does one speak about the origin of the problem, andthis would be the only way to find its solution.

Probabilistic models describing macroscopic traffic flow have proven useful both in practice and in theory. In theoretical investigations of wide-scatter in flow–density data, the statistical features of flow density relations have played a central role. In real-time estimation and traffic forecasting applications, probabilistic extensions of macroscopic relations are widely used. However, how to obtain such relations, in a manner that results in physically reasonable behavior has not been addressed. This paper presents the derivation of probabilistic macroscopic traffic flow relations from Newell’s simplified car-following model. The probabilistic nature of the model allows for investigating the impact of driver heterogeneity on macroscopic relations of traffic flow. The physical features of the model are verified analytically and shown to produce behavior which is consistent with well-established traffic flow principles. An empirical investigation is carried out using trajectory data from the New Generation SIMulation (NGSIM) program and the model’s ability to reproduce real-world traffic data is validated. [ABSTRACT FROM AUTHOR]

This paper presents the experimental results measured on the Italsat satellite when data is transmitted by using the FODA/IBEA satellite access scheme. The measures presented refer to the packet arrival time jitter, which affects the real-time data, and to the end-to-end delay of the non real-time data. The experimental results, obtained with four Italian active stations of Italsat confirm the analytical results. The paper also shows the advantage of working in pre-assignment mode, a feature of the capacity assignment algorithm which improves the end-to-end delay of non-real-time data during the transient provoked by a traffic step when the system is scarcely loaded. [ABSTRACT FROM AUTHOR]

Since the Republic of Croatia is one of the most popular European and world tourist destinations, the aim of this paper is, from the user's (n = 596) point of view, to research the importance of stationary traffic in tourist destinations. The purpose of this paper is to point out the possibilities of improving the tourist destination quality and sustainability through an adequate parking service. In order to corroborate constructed scientific hypotheses, a larger number of scientific methods were used from which a polling method, analysis and synthesis method, descriptive statistics method, t-test, and analysis of variance (ANOVA) should be singled out. The major finding of this paper indicates a relatively big importance of stationary traffic (M = 6.51; SD = 2.21) as an element of tourist destination quality. Moreover, regarding the quality of tourist destination, the results of this paper suggest that the parking space availability is more important than the way parking or parking payment are organized. Between the experienced parking problem in a tourist destination and age on one side and evaluation of the importance of stationary traffic as an element of tourist destination quality on the other side, a statistically important connection was established. Gained knowledge can be particularly helpful to hotel industry managers but also to traffic managers whose duty is to provide an adequate number of parking spaces in tourist destinations. [ABSTRACT FROM AUTHOR]