Dragana Macura

A Comparative Assessment of Transport-Sustainability in Central and Eastern European Countries with a Brief Reference to the Republic of Serbia

ABSTRACT This report develops a framework for a cross-country comparative assessment of transport sustainability in central and eastern European countries. The objective was to assess where national transportation systems stand relative to each other according to sustainability criteria. The core of the method is the evaluation of the current status and trends in transport performance using an Analytic Hierarchy Process approach. As a result, countries have been positioned in a static-dynamic space related to sustainability sub-themes. The significance of the approach is in its ability to monitor and analyze transport system functionality regarding sustainability concerns, thus raising awareness of these problems among policy makers.

Determining the number of postal units in the network - Fuzzy approach, Serbia case study

One of the main, current, goals of the public postal operators in developing countries is to define the model for proper postal network design and access. The access to the postal network represents a set of different elements that interact with each other and have a common aim of providing continuous, of high quality, reliable and sustainable universal postal service. Worldwide experience suggests different approaches in defining the components and criteria for establishing the system of access to the postal network of the public operator. In this paper we present two different approaches. The first one is based on criteria determined in previous study and, here, we develop proper mathematical formulation. The second one is new, general, method created to generate fuzzy rules from numerical data, well known as Wang-Mendels method. The authors apply both methods on real data collected from Serbian municipalities and finally, compare results obtained by them.

Ride Matching Using K -means Method: Case Study of Gazela Bridge in Belgrade, Serbia

Transport networks in many cities are generally very seriously congested. Consequently, travel time, number of stops, unexpected delays, transport costs, level of air pollution, noise, and traffic accidents are increased. In addition to daily congestion, there may be congestion and traffic jams as a consequence of reconstruction of the roads’ lanes. During the past decade, different strategies for transport demand management have been developed, with the aim to decrease existing traffic congestion. One of the available strategies is a ride matching (sharing) concept. This strategy means that several participants share only one private car when traveling from origin to destination. A model for grouping drivers into cars for ride matching, according to similarities of a place of living and working, working hours, and type of car license plate, is developed in this paper. The writers apply the ride matching concept on congested traffic during the reconstruction of the main bridge in Belgrade, Serbia, which i...

Intelligent sleeping car berth inventory control system in the case of variable capacity of railcars

Managing ticket reservations in passenger rail transport is a complex task. A hybrid algorithm is developed as a decision support tool. The aim of the proposed algorithm is to provide real-time decisions on seat inventory allocation taking into account relevant information from the past. This paper considers the revenue management application in passenger rail transport with variable capacity of sleeping cars. Uncertainty of capacity availability is embedded in the developed algorithm through a payoff table, while an Artificial Neural Network is used as a tool for making real-time decisions. The algorithm is tested on hypothetical data.

An approach to assess criticality of elements in the process of information infrastructure protection

In this paper the new approach to assessment an importance/criticality of elements within the critical information infrastructure is presented. The proposed method is based on the identification of critical routes within the network, and the recognition of the most important nodes without using centrality measures and simulation techniques. The elements and their dependencies within the information infrastructure are transformed into a relational topological graph. The elements are presented as the nodes, and the relations between them as the edges of the graph.