Draženko Glavić

Schema on read modeling approach as a basis of big data analytics integration in EIS

ABSTRACT Big Data analysis is the process that can help organizations to make better business decisions. Organizations use data warehouses and business intelligence systems, i.e. enterprise information systems (EISs), to support and improve their decision-making processes. Since the ultimate goal of using EISs and Big Data analytics is the same, a logical task is to enable these systems to work together. In this paper we propose a framework of cooperation of these systems, based on the schema on read modeling approach and data virtualization. The goal of data virtualization process is to hide technical details related to data storage from applications and to display heterogeneous data sources as one integrated data source. We have tested the proposed model in a case study in the transportation domain. The study has shown that the proposed integration model responds flexibly and efficiently to the requirements related to adding new data sources, new data models and new data storage technologies.

Determining the number and location of winter road maintenance depots – a case study of the district road network in Serbia

ABSTRACT Determining the number and location of depots for winter road maintenance (WRM) represents one of the important strategic decisions while planning WRM activities. However, most organizations dealing with WRM make empirically based decisions. Optimizing the number and location of WRM depots has the potential to achieve considerable cost savings, improve mobility and efficiency, as well as reduce environmental impacts. This paper presents two optimization models. The first model determines the location of WRM depots by minimizing the total distance travelled by maintenance vehicles. The second model determines the optimum number and location of WRM depots by minimizing total transportation costs and capital expenditure and operational expenditure of the depots. The models are then applied to the district road network in Serbia. Results show that their application could lead to significant reductions in WRM costs.

ANALIZA STAVOVA KORISNIKA O NAPLATI PUTARINE NA AUTOPUTEVIMA REPUBLIKE SRBIJE

Naplata putarine na autoputevima predstavlja mehanizam za finansiranje izgradnje putne infrastrukture, njenu eksploataciju i održavanje. Cilj ovog rada je da se izvrsi analiza stavova korisnika o naplati putarine na autoputevima Srbije. U tu svrhu je definisana anketa koja je sadržala kako pitanja o socio-ekonomskim karakteristikama korisnika, tako i pitanja o naplati putarine. Anketa je sprovedena elektronskim putem i uzorak je cinilo 680 ispitanika. Za obradu podataka koriscene su metode deskriptivne statistike. Dobijeni rezultati ce pomoci donosiocima odluka prilikom definisanja strategije naplate putarine, koja bi trebala da doprinese unapređenju postojeceg sistema naplate putarine u Srbiji.

Decision-Support Framework for Selecting the Optimal Road Toll Collection System

One of the central decision-making questions in planning road tolling is the selection of the optimal toll collection system (TCS). The question of TCS selection arises in the situation when the existing TCS is to be upgraded or when TCS is selected for a newly constructed road. Considering that there are multiple TCS available nowadays, with their particular advantages and disadvantages, and that there is a range of often conflicting criteria for TCS selection, this decision-making issue belongs to the group of multicriteria decision-making (MCDM) problems. The MCDM-based methodology used in this research integrates Strengths-Weakness-Opportunities-Threat (SWOT) analysis and Fuzzy Preference Ranking Organization Method for Enrichment Evaluations (F-PROMETHEE). The expert-based decision-support framework includes a procedure for defining evaluation criteria and their weights, scoring of alternatives, and sensitivity analysis. Presented decision-support framework is tested with fourteen toll systems. Results indicate that the best-ranked TCS is the dedicated short-range communication multilane free flow. Decision-support framework is developed for transferability to different contexts, where local features can be taken into account by choosing specific alternatives, criteria, and criteria values. Finally, this development opens up opportunities for further analysis of criteria values and considerations of user attitudes in road pricing scheme planning.

Induced Traffic and Its Treatment in the Evaluation of Motorway Projects

The purpose of this paper is to define factors that influence the emergence of induced i.e. generated traffic for experts involved in highway feasibility studies. An explanation of the practical methods for forecasting generated traffic is done by reviewing international experiences in the relevant literature. Also, the idea underlying this paper is to explain the different treatments of generated traffic in evaluating highway projects with no tolls, which is based on socio-economic aspects versus the evaluation of highway projects with tolls, which is based on financial aspects. Finally, we propose that since it is hard to measure the economic benefits from indirect effects (in the evaluation of socio-economic aspects) the evaluators could determine the economic benefits of the generated traffic using the same procedure as for normal traffic. KEYWORDS: induced traffic (generated traffic), normal traffic, coefficient of elasticity, time savings, vehicle operating cost (VOC) savings, the economic surplus