Model for capacity calculation of left turn manoeuvre from priority approach at unsignalized intersections

Pre obavljanja levog manevra, sa prioritetnog prilaza TWSC nesignalisane raskrsnice, vozač procenjuje interval koji se javlja u konfliktnom toku i bira onaj interval koji mu je najviše prihvatljiv. Vreme koje je potrebno za procenu prihvatljivog intervala je predstavljeno u vidu vremena čekanja u opsluzi vozila na raskrsnici. Sa pojavom prihvatljivog intervala, vreme čekanja u opsluzi vozila se završava, i tada počinje vreme za izvođenje manevra levog skretanja. Odluka o momentu početka izvođenja manevra levog skretanja je subjektivna i zasniva se na proceni vozača. Ispravna subjektivna procena uvek rezerviše bezbednosno vreme. U ovoj disertaciji je predstavljen razvoj detaljnog matematičkog postupka za proračun bezbednosnog vremena. Merenja na nesignalisanim raskrsnicama su dokazala primenjivost predloženog modela, mogućnost proračuna subjektivnog bezbednosnog vremena i visoko učešće bezbednosnog vremena u kritičnom intervalu (oko jedne trećine). Dobijeni rezultati su visoko saglasni sa HCM.Before the left turn manoeuvre, from priority approach at TWSC unsignalized intersection, the driver estimates the interval occurring in the conflict flow and chooses the one which is most acceptable for him. The time required for evaluation of acceptable interval is presented by the service waiting time of vehicles at an intersection. With the appearance of an acceptable interval, service waiting time for vehicle ends, and then starts a time for performance of left turn manoeuvre. A decision about the moment of starting left turn manoeuvre is subjective and based on a driver’s estimate. Correct subjective evaluation always reserves the safety time. This dissertation presents development of a detailed mathematical procedure for calculation form of safety time. Measurements at unsignalized intersections are proven applicability of the proposed model, possibility of calculation subjective safety time and high participation of safety time in critical gap (about one-third). The obtained results are highly consistent with HCM

Video Conferencing and its Application in Education

In many countries, the demand for jobs in the conventional education system far exceeds the available job offers. Under the right circumstances, open and distance learning systems have proven that they can provide quality education and training to many people at lower unit costs than conventional education systems. In remote or sparsely populated areas, it is not economically feasible to provide the full range of educational opportunities and vocational training through the conventional institutions. Video conferencing as a method of distance education enables learning and training to be delivered in a more efficient and economical way. Due to the rapid development of technology, the idea that a student is trained as a young person for the same life-long job is becoming less viable. Most people are likely to change the profession for at least two or three times throughout their careers. This paper provides some technologies and standards used in video conferencing. In addition, it outlines some basic types of video conferencing and equipment requirements

Povezanost reklamnih poruka i korišćenja bankarskih usluga

U savremenim uslovima poslovanja teško je rešavati ekonomske probleme na tržištu bez implementacije znanja drugih naučnih disciplina, posebno marketinga. Značaj i interdisciplinarnost marketinga, za konkretna istraživanja u radu, osim njegovog oslanjanja na dostignuća i otkrića drugih nauka, disciplina, koncepcija, metoda i tehnika, ogleda se u značaju ekonomske propagande. Cilj ovog istraživanja je ispitivanje stepena i prirode povezanosti između načina, učestalosti i razumevanja korišćenja bankarskih usluga i poverenja u reklamne poruke, kao i značaja koji ispitanici pridaju reklamnim porukama. Shodno definisanom cilju, u istraživanju dominira teorijska razrada rezultata istraživanja. Tokom istraživanja i obrade rezultata rada korišćene su sledeće metode: Likertova skala, T-test, jednofaktorska analiza varijanse, Pirsonov koeficijent korelacije, logistička regresija i višestruka regresija

Research of the influence of socio-demographic characteristics of population to develop tourism (example: Serbian case)

Dominance of the free time and free money as basic factors of tourism development is confirmed by the synthesis of relevant economic and theoretical concepts and empirical studies, from the earliest, to the modern stage of tourism. Both of these factors imply consumption as the main outcome of the economic process. Also, these two factors as final objectives of the economic activity are characteristic only for the individual. A human with all its characteristics - both positive and negative, has a crucial influence on development of tourism. In order to confirm the set hypothesis, a research entitled "The impact of socio-demographic characteristics of the population to develop tourism in Serbia" has started. Theoretical elaboration is dominant in the research results according to the defined purpose of the research. During the research process and results, the following methods were used: Likert Scale, T-test, ANOVA, Pearson correlation coefficient, Logistic regression and Multiple regression

AN EXAMPLE OF CHATBOT IN THE FIELD OF EDUCATION IN THE REPUBLIC OF SERBIA

Students can retrieve information from the website or use the services of an existing information system (provided the information system is on the internet). However, we know from experience that searching a website is time-consuming or even inaccurate, and the functionality of the information system is limited. Chatbot makes it more natural, efficient and faster. Chatbot can understand natural language, i.e. written text and voice messages. It gives precise answers and performs all actions intended by the website and / or the information system. But the website and the information system do not have the richness of language that the chatbot has. You have to log in to the information system and know how to use it, and each new version requires new learning. If you know how Viber or FB Messenger work, you probably know how to use chatbot. The services provided by chatbot are visible on communication platforms used by a large number of users, and thus the quality of these services is better. Due to the use of chats, the human resources of the educational institution are redirected/retrained to more responsible and creative jobs because the workload has been relieved. The paper presents a chatbot called ADA, developed at the Belgrade Business and Arts Academy of Applied Studies (BAPUSS), and shows basic usage statistics. It also points out the importance of chatbots as a communication channel in educational institutions

Open data and databases in analysis of traffic accidents in Belgrade

Traffic accidents on the roads are one of the most common causes of human death and human injuries in modern societies. Progress in collecting data about subject of research has introduced changes in various fields of science and engineering. The field of transport engineering tracks progress and trends in other areas. One of the main tasks of smart cities' projects is the analysis of large amounts of data collected from the participants in road traffic. These data are used for the purposes of traffic planning, traffic regulation, traffic congestion management and for increasing public safety. Traffic accident databases are the most important source of data for analyzing and defining preventive actions. A large amount of data about traffic accidents are collected, but they are available for analysis to a few institutions and people. Concept of open data represents a new concept that has been started to apply in the Republic of Serbia. The paper presents a partial analysis of open data for traffic accidents in the city of Belgrade in 2016

SARIMA Modelling Approach for Forecasting of Traffic Accidents

To achieve greater sustainability of the traffic system, the trend of traffic accidents in road traffic was analysed. Injuries from traffic accidents are among the leading factors in the suffering of people around the world. Injuries from road traffic accidents are predicted to be the third leading factor contributing to human deaths. Road traffic accidents have decreased in most countries during the last decade because of the Decade of Action for Road Safety 2011–2020. The main reasons behind the reduction of traffic accidents are improvements in the construction of vehicles and roads, the training and education of drivers, and advances in medical technology and medical care. The primary objective of this paper is to investigate the pattern in the time series of traffic accidents in the city of Belgrade. Time series have been analysed using exploratory data analysis to describe and understand the data, the method of regression and the Box–Jenkins seasonal autoregressive integrated moving average model (SARIMA). The study found that the time series has a pronounced seasonal character. The model presented in the paper has a mean absolute percentage error (MAPE) of 5.22% and can be seen as an indicator that the prognosis is acceptably accurate. The forecasting, in the context of number of a traffic accidents, may be a strategy to achieve different goals such as traffic safety campaigns, traffic safety strategies and action plans to achieve the objectives defined in traffic safety strategies