The difficulties of microscopic-level simulation models to accurately reproduce real traffic phenomena stem not only from the complexity of calibration and validation operations, but also from the structural inadequacies of the sub-models themselves. Both of these drawbacks originate from the scant information available on real phenomena because of the difficulty in gathering accurate field data. This paper studies the traffic behaviour of individual drivers utilizing vehicle trajectory data extracted from digital images collected from freeways in Iran. These data are used to evaluate the four proposed microscopic traffic models. One of the models is based on the traffic regulations in Iran and the three others are probabilistic models that use a decision factor for calculating the probability of choosing a position on the freeway by a driver. The decision factors for three probabilistic models are increasing speed, decreasing risk of collision, and increasing speed combined with decreasing risk of collision. The models are simulated by a cellular automata simulator and compared with the real data. It is shown that the model based on driving regulations is not valid, but that other models appear useful for predicting the driver’s behaviour on freeway segments in Iran during noncongested conditions.

The cableway transport system is very important for the Slovenian tourist economy. Within the Slovene transport system, the cableway transport subsystem has a specific role because it allows and ensures access to regions which are difficult to access or completely inaccessible by other transport subsystems owing to the configuration of the area. The quality and development of transport services are directly linked to the introduction of new cableways. New technical achievements, which are nowadays used in cableways, all provide greater capacity and higher speed of cableways, which, however, results in their higher maintenance and exploitation costs. The cableway transport system is being developed in Slovenia, but not on principles of sustainable development. This paper presents a model of sustainable growth and development of the cableway transport system in Slovenia based on which it is possible to determine assumptions for future growth so that the Slovene cableway transport system would approach standards of such highly developed systems. The new model includes ten essential elements of this system for which growth rates were calculated.

The paper addresses the problem of optimal bus stop allocation. The aim is to achieve reduction of costs on account of appropriate re-design of the process of obligatory transportation of children from their homes to the corresponding schools in the Laško municipality. The proposed algorithm relies on optimization based on the Monte Carlo simulation procedure. The number of calculated bus stops is required to be minimal possible, which can still assure maximal service area within the prescribed radius, while keeping the minimal walking distances pupils have to go across from their homes to the nearest bus stop and vice versa. The main issues of the proposed algorithm are emphasised and the working mechanism is explained. The presentation of calculated results is given and comparison with some other existing algorithms is provided. The positions of the calculated bus stops are going to be used for the purpose of physical bus stops implementation in order to decrease the current transportation costs.

Logistics and distribution centres represent very significant infrastructure elements of the macro-logistic system. The creation of the logistics and distribution centres and their connection into a wide (global) network have resulted in the creation of conditions for an adequate distribution of labour and significant increase in the productivity of all the logistics elements and processes, noting that the logistics and distribution centres in this concept have a superregional significance. This paper represents the summary (results) of the research that was carried out on a large number of logistics and distribution centres with the aim of considering the complexity and the issues related to the logistics and distribution centres and the distribution network, their elements and action of the subsystems according to the following criteria: spatial, technical, technological, and organizational, with the aim of defining the categorisation model of the logistics and distribution centres. The analysis of the selected data collected during the research has resulted in defining of the categorisation model of the logistics and distribution centres which foresees six categories. Each of the foreseen categories has been defined according to the set model by the mentioned traffic, technical and technological, and organisational characteristics and the level of service. This is precisely where the application of the categorisation model of the logistics and distribution centres can be found, which will define the relevant categories of the centres applicable in the creation of effective distribution

Official road classification is used for general purposes but for deep traffic analysis this classification is not sufficient. Today there are efficient ways to collect large amounts of data from multiple sources that can be used for different causes. These large amounts of data cannot be analysed with traditional methods and new state-of-the-art algorithms should be used. The paper presents the methodology for urban road classification based on GPS (Global Positioning System) vehicle tracks and data on infrastructural characteristics of road subsegments. The process of defining road categories includes data collection and analysis, data cleansing and fusion, multiple regression, principal component analysis (PCA) as well as cross-validation and k-nearest neighbour (kNN) classification procedure. Results of such continuum can be used as base for further traffic analysis as travel time prediction, optimal route detection etc.

The development of information and telecommunication technologies, apart from accelerating the information flows, increasing efficiency on the market and other business changes, results also in the reduction of the number of employees in companies. With the application of new information and telecommunication technologies even companies with a single employee in certain activities (publishing, counselling, tourism, etc.) can successfully compete with larger companies, which leads to an increased number of logistic service demands. A large number of small enterprises create a large number of small orders which have to be delivered in the same unit of time, thus causing increased congestion of roads, especially in urban areas. Although information transport, due to the mentioned technologies, has become to a large extent virtual, the transport of people and cargo continues to operate in a three-dimensional space (recognizing the time dimension as an important factor for calculating the business efficiency). The application of the model from the paper makes it possible to confirm the thesis of increased traffic congestion as consequence of the technological development and to emphasise the need to find a solution in the form of logistic and distribution centres for small and mid-size enterprises. The companies that offer logistic and distribution services may become centres for small and mid-size enterprises, thus offering a solution that maintains the speed and efficiency and avoids costs of congestions and delays.

The paper deals with the selection of traffic infrastructure facility location by applying the AHP (Analytic Hierarchy Process) multi-criteria analysis methodology. The proposed methodology is applied in a case study to solve the problem of selecting a location for the garage-parking facility in the town of defined characteristics. The paper analyses the characteristics of five potential locations (alternatives), the selection of criteria and measures for assessing the alternatives and presents the input data preparation, the application of the selected method and the analysis results. All the relevant criteria for the analyses were included: the traffic, the economic criteria and those which nowadays are of great significance: the influence of the facility on the environment and the social criteria which is in accordance with the sustainable development principles. The goal of the paper is to present the procedure of the AHP method application on the complex issue of traffic planning and to confirm the adequacy of the chosen method on the traffic facility strategic planning.

A minor movement performed at unsignalized intersections is one of the most complex and most difficult actions in traffic. Drivers performing a minor movement make decisions based on the estimation of movement parameters of vehicles in the major street. A driver’s estimation depends on subjective estimation of the distance between vehicles in the major street and the gap which exists between them, that is, the time gap in the conflicting flow which is suitable for accomplishing a minor movement. The possibilities of estimation are sometimes limited due to complex traffic conditions, as well as the limited driver’s view. When, during doing a minor movement, a traffic accident happens, in most cases the cause of the accident is the failure to give right-of-way. But, in case when a vehicle from the major street moves at a speed above the limited one, based on the existing analytical procedures, it is impossible to determine the extent of their responsibility. This paper shows the procedure for safe distance determination, necessary for accomplishing a minor movement, as well as the procedure of establishing the driver’s omission, depending on the movement regime and traffic conditions at unsignalized intersections.